From 34f5e99f4be12d37d5051e3b2414ccffb07588df Mon Sep 17 00:00:00 2001 From: knappersfy Date: Mon, 17 Nov 2025 09:58:47 +0100 Subject: [PATCH 01/73] fixed inj and prd temop --- src/pythermogis/workflow/__init__.py | 0 src/pythermogis/workflow/overview/__init__.py | 0 .../workflow/potential/__init__.py | 0 .../workflow/preprocess/__init__.py | 0 src/pythermogis/workflow/utc/__init__.py | 0 .../workflow/utc/utc_properties.py | 158 ++++++++++++++++++ tests/utc/test_utc_properties.py | 42 +++++ 7 files changed, 200 insertions(+) create mode 100644 src/pythermogis/workflow/__init__.py create mode 100644 src/pythermogis/workflow/overview/__init__.py create mode 100644 src/pythermogis/workflow/potential/__init__.py create mode 100644 src/pythermogis/workflow/preprocess/__init__.py create mode 100644 src/pythermogis/workflow/utc/__init__.py create mode 100644 src/pythermogis/workflow/utc/utc_properties.py create mode 100644 tests/utc/test_utc_properties.py diff --git a/src/pythermogis/workflow/__init__.py b/src/pythermogis/workflow/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/pythermogis/workflow/overview/__init__.py b/src/pythermogis/workflow/overview/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/pythermogis/workflow/potential/__init__.py b/src/pythermogis/workflow/potential/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/pythermogis/workflow/preprocess/__init__.py b/src/pythermogis/workflow/preprocess/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/pythermogis/workflow/utc/__init__.py b/src/pythermogis/workflow/utc/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/pythermogis/workflow/utc/utc_properties.py b/src/pythermogis/workflow/utc/utc_properties.py new file mode 100644 index 0000000..af7fe13 --- /dev/null +++ b/src/pythermogis/workflow/utc/utc_properties.py @@ -0,0 +1,158 @@ +from dataclasses import dataclass, field +from pathlib import Path +from typing import NamedTuple, Literal + +class PropertyGridInfo(NamedTuple): + name: str + optional: bool + postfix: str + +class AquiferFile(NamedTuple): + postfix: str + newPostfix: str + +ViscosityMode = Literal["KESTIN", "BATZLEWANG"] + +@dataclass(frozen=True) +class UTCConfiguration: + input_data_dir: str = "" + results_dir: str = "" + petrel_output_dir: Path | None = None + n_threads: int = 1 + is_ates: bool = False + check_copied_files: bool = True + validate_input_grids: bool = True + validate_output_grids: bool = True + aquifers: list[str] = field(default_factory=lambda: [ + "NMVFS", "NMVFV", "NMRFT", "NMRFV", "NLFFS", "NLFFD", "NLLFR", "NLLFS", "KNGLG_KNGLS", + "KNNSG", "KNNSL", "KNNSY", "KNNSB", "KNNSR", "KNNSF_KNNSP", "SLDNA", "SLDND", "RNROF", "RNSOB", + "RBMH", "RBMDU", "RBMDL", "RBMVU", "RBMVL", "RBSHN", "ROSL_ROSLU", "ROSLL", "DCH", "DCD" + ]) + property_grid_infos: list[PropertyGridInfo] = field(default_factory=lambda: [ + PropertyGridInfo("Permeability", False, "__k.zmap"), + PropertyGridInfo("PermeabilityLNSD", False, "__k_lnsd.zmap"), + PropertyGridInfo("Porosity", False, "__phi.zmap"), + PropertyGridInfo("Thickness", False, "__thick.zmap"), + PropertyGridInfo("ThicknessSD", False, "__thick_sd.zmap"), + PropertyGridInfo("Depth", False, "__top.zmap"), + PropertyGridInfo("NetToGross", False, "__ntg.zmap"), + PropertyGridInfo("Temperature", True, "__temperature.zmap"), + PropertyGridInfo("HCAccum", True, "__hc_accum.zmap"), + PropertyGridInfo("BoundaryShapefile", True, "__BoundaryShapefile.shp") + ]) + copy_aquifer_files_info: list[AquiferFile] = field(default_factory=lambda: [ + AquiferFile("__ntg_points.shp", "__ntg_points.shp"), + AquiferFile("__poro_points.shp", "__poro_points.shp"), + AquiferFile("__perm_points.shp", "__perm_points.shp"), + AquiferFile("__points_QC.shp", "__points_QC.shp") + ]) + scenario: str = "basecase" + scen_suffix: str = "" + temp_from_grid: bool = False + exclude_hc_accum: bool = True + use_bounding_shape: bool = False + grid_ext: str = ".nc" + p_values: list[float] = field(default_factory=lambda: [10.0, 30.0, 50.0, 70.0, 90.0]) + # temp_voxet: 'Voxet' = None + surface_temperature: float = 10.0 + temp_gradient: float = 31.0 + undefined_cells_allowed: int = 3 + level_of_detail: int = 4 + remove_padding_from_input_grids: bool = True + use_heat_pump: bool = False + dh_return_temp: float = 30.0 + ates_rosim_template_file: Path | None = None + scale_sd: float = 1.0 + calculate_cop: bool = True + hp_application_mode: bool = False + hp_direct_heat_input_temp: float = 70.0 + utc_cutoff: float = 5.1 + utc_cutoff_deep: float = 6.5 + utc_deep_depth: float = 4000.0 + ates_n_years_to_average: int = 1 + ates_rosim_years: int = 5 + maxdepth: float = 6000.0 + ates_min_depth: float = 0.0 + ates_max_depth: float = 500.0 + min_prod_temp: float = 20.0 + kh_cutoff: float = 1.0 + use_stimulation: bool = False + stim_kh_max: float = 20.0 + max_cooling_temp_range: float = 100.0 + hp_minimum_injection_temperature: float = 15.0 + ates_charge_temp: float = 80.0 + econ_lifetime_years: int = 15 + ates_min_flow: float = 0.0 + hp_include_elect_heat_in_power: bool = False + set_all_values_to_final_rosim_year: bool = False + max_flow: float = 500.0 + charge_temp: float = 80.0 + anisotropy: float = 5.0 + filter_fraction: float = 0.8 + salinity_surface: float = 0.0 + salinity_gradient: float = 46.67 + inj_prod_days: int = 120 + clogging_vel: float = 0.3 + membrane_filter_index: float = 1.0 + depth_mult_factor: float = 0.01 + thermal_radius_factor: float = 2.0 + + # DoubletCalc1DData + max_pump: float = 300.0 + min_pump: float = 1.0 + hy_gradient: float = 0.105 + optim_well_dist: bool = True + optim_dist_well_dist_min: float = 100.0 + optim_dist_well_dist_max: float = 3000.0 + optim_dist_lifetime: int = 50 + max_tvd_stepout_factor: float = 1.0 + optim_dist_cp_rock: float = 2700.0 + optim_dist_rho_rock: float = 1000.0 + optim_dist_cooling_fraction: float = 0.1 + default_well_distance: float = 1500.0 + pump_efficiency: float = 0.6 + pump_depth: float = 300.0 + segment_length: float = 50.0 + outer_diameter: float = 8.5 + inner_diameter: float = 8.5 + roughness: float = 1.38 + skin_injector: float = -1.0 + skin_producer: float = -1.0 + stim_add_skin_inj: float = -3.0 + stim_add_skin_prod: float = -3.0 + stimulation_capex: float = 0.5 + hp_calc_cop: bool = True + imposed_cop: float = 3.0 + hp_capex: float = 600.0 + hp_opex: float = 60.0 + hp_alternative_heating_price: float = 2.8 + viscosity_mode: ViscosityMode = "BATZLEWANG" + + # Economical data + economic_lifetime: int = 15 + drilling_time: int = 2 + tax_rate: float = 0.25 + interest_loan: float = 0.05 + inflation: float = 0.02 + equity_return: float = 0.07 + debt_equity: float = 0.8 + ecn_eia: float = 0.0 + tolerance_utc_increase: float = 0.0 + load_hours: float = 6000.0 + opex_base: float = 0.0 + opex_per_power: float = 100.0 + elec_purchase_price: float = 8.0 + opex_per_energy: float = 0.19 + opex_per_capex: float = 0.0 + well_cost_scaling: float = 1.5 + well_cost_const: float = 0.25 + well_cost_z: float = 700.0 + well_cost_z2: float = 0.2 + capex_const: float = 3.0 + capex_variable: float = 300.0 + capex_contingency: float = 15.0 + well_curv_scaling: float = 1.1 + use_orc: bool = False + heat_exchanger_efficiency: float = 1.0 + heat_exchanger_parasitic: float = 0.0 + heat_exchanger_basetemp: float = 10.0 \ No newline at end of file diff --git a/tests/utc/test_utc_properties.py b/tests/utc/test_utc_properties.py new file mode 100644 index 0000000..b172978 --- /dev/null +++ b/tests/utc/test_utc_properties.py @@ -0,0 +1,42 @@ +from pythermogis.workflow.utc.utc_properties import UTCConfiguration + + +def test_utc_configuration_instantiation(): + """Test that UTCConfiguration can be instantiated with defaults.""" + cfg = UTCConfiguration() + + # Basic type checks + assert isinstance(cfg, UTCConfiguration) + assert isinstance(cfg.property_grid_infos, list) + assert isinstance(cfg.copy_aquifer_files_info, list) + + # Check simple default values + assert cfg.n_threads == 1 + assert cfg.is_ates is False + assert cfg.scenario == "basecase" + assert cfg.viscosity_mode == "BATZLEWANG" + assert cfg.surface_temperature == 10.0 + assert cfg.temp_gradient == 31.0 + + # Check a list value + assert 30.0 in cfg.p_values + assert cfg.p_values == [10.0, 30.0, 50.0, 70.0, 90.0] + + # Check a complex field + assert cfg.property_grid_infos[0].name == "Permeability" + assert cfg.property_grid_infos[0].optional is False + assert cfg.property_grid_infos[0].postfix.endswith(".zmap") + + # Aquifer list correctness + assert len(cfg.aquifers) > 10 + assert "NMRFT" in cfg.aquifers + + # Path attribute + assert cfg.petrel_output_dir is None + + # A few economic values + assert cfg.tax_rate == 0.25 + assert cfg.interest_loan == 0.05 + assert cfg.economic_lifetime == 15 + + -- GitLab From 2856cbf3907a1c1b1a189739aacd3d89ca236fd7 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Mon, 17 Nov 2025 10:00:15 +0100 Subject: [PATCH 02/73] rm comments in test --- tests/utc/test_utc_properties.py | 13 ------------- 1 file changed, 13 deletions(-) diff --git a/tests/utc/test_utc_properties.py b/tests/utc/test_utc_properties.py index b172978..074468d 100644 --- a/tests/utc/test_utc_properties.py +++ b/tests/utc/test_utc_properties.py @@ -5,36 +5,23 @@ def test_utc_configuration_instantiation(): """Test that UTCConfiguration can be instantiated with defaults.""" cfg = UTCConfiguration() - # Basic type checks assert isinstance(cfg, UTCConfiguration) assert isinstance(cfg.property_grid_infos, list) assert isinstance(cfg.copy_aquifer_files_info, list) - - # Check simple default values assert cfg.n_threads == 1 assert cfg.is_ates is False assert cfg.scenario == "basecase" assert cfg.viscosity_mode == "BATZLEWANG" assert cfg.surface_temperature == 10.0 assert cfg.temp_gradient == 31.0 - - # Check a list value assert 30.0 in cfg.p_values assert cfg.p_values == [10.0, 30.0, 50.0, 70.0, 90.0] - - # Check a complex field assert cfg.property_grid_infos[0].name == "Permeability" assert cfg.property_grid_infos[0].optional is False assert cfg.property_grid_infos[0].postfix.endswith(".zmap") - - # Aquifer list correctness assert len(cfg.aquifers) > 10 assert "NMRFT" in cfg.aquifers - - # Path attribute assert cfg.petrel_output_dir is None - - # A few economic values assert cfg.tax_rate == 0.25 assert cfg.interest_loan == 0.05 assert cfg.economic_lifetime == 15 -- GitLab From 6584d1f2e78ceaae9435925e74fd38d27f7a9567 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Thu, 20 Nov 2025 10:36:28 +0100 Subject: [PATCH 03/73] Start of rewriting ThermoGisDoublet in python --- pixi.lock | 91 ++++++++++++++++++- pyproject.toml | 1 + src/pythermogis/workflow/utc/doublet.py | 84 +++++++++++++++++ src/pythermogis/workflow/utc/doublet_utils.py | 35 +++++++ tests/utc/test_doublet.py | 26 ++++++ tests/utc/test_doublet_utils.py | 65 +++++++++++++ ...t_utc_properties.py => test_properties.py} | 0 7 files changed, 301 insertions(+), 1 deletion(-) create mode 100644 src/pythermogis/workflow/utc/doublet.py create mode 100644 src/pythermogis/workflow/utc/doublet_utils.py create mode 100644 tests/utc/test_doublet.py create mode 100644 tests/utc/test_doublet_utils.py rename tests/utc/{test_utc_properties.py => test_properties.py} (100%) diff --git a/pixi.lock b/pixi.lock index 0f624af..2f30894 100644 --- a/pixi.lock +++ b/pixi.lock @@ -140,6 +140,7 @@ environments: - conda: https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.17.0-h8a09558_0.conda - conda: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.8-h4bc477f_0.conda - conda: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda + - conda: https://conda.anaconda.org/conda-forge/linux-64/llvmlite-0.45.1-py313hdd307be_0.conda - conda: https://conda.anaconda.org/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2 - conda: 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license_family: BSD + purls: + - pkg:pypi/numba?source=hash-mapping + size: 5706597 + timestamp: 1759165298367 - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.2.5-py313h17eae1a_0.conda sha256: c0a200d0e53a1acbfa1d1e2277e3337ea2aa8cb584448790317a98c62dcaebce md5: 6ceeff9ed72e54e4a2f9a1c88f47bdde @@ -4830,7 +4919,7 @@ packages: - pypi: ./ name: pythermogis version: 1.2.0 - sha256: 50c9d857c9314b246b28d7e610647475414c718d839408818aa4f441813b51a7 + sha256: bbba086a07a9972c4416d90c0cddf7f691529a60cac13dd8dd9fb2a236d68059 requires_dist: - jpype1>=1.5.2,<2 - xarray==2024.9.0.* diff --git a/pyproject.toml b/pyproject.toml index 73e4690..588231b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -69,6 +69,7 @@ dask = ">=2025.5.1,<2026" narwhals = ">=1.43.1,<2" pre-commit = ">=4.3.0,<5" python-dotenv = ">=1.2.1,<2" +numba = ">=0.62.1,<0.63" [tool.ruff] line-length = 88 diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py new file mode 100644 index 0000000..8a67d55 --- /dev/null +++ b/src/pythermogis/workflow/utc/doublet.py @@ -0,0 +1,84 @@ +from dataclasses import dataclass + +from pythermogis.workflow.utc.utc_properties import UTCConfiguration +from pythermogis.workflow.utc.doublet_utils import calculate_injection_temp_with_heat_pump + + +@dataclass +class DoubletInput: + unknown_input_value: float + thickness: float + transmissivity: float + transmissivity_with_ntg: float + ntg: float + depth: float + porosity: float + temperature: float + +@dataclass +class DoubletOutput: + power: float + hppower: float + capex: float + var_opex: float + fixed_opex: float + opex: float + utc: float + npv: float + hprod: float + cop: float + cophp: float + pres: float + flow: float + welld: float + breakthrough: float + cooling: float + production_temp: float + injection_temp: float + +def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) -> DoubletOutput: + well_distance = ( + (props.optim_dist_well_dist_min + props.optim_dist_well_dist_max) / 2 + if props.optim_well_dist + else props.default_well_distance + ) + + injection_temperature = ( + max(input.temperature - props.max_cooling_temp_range, + props.hp_minimum_injection_temperature) + if props.use_heat_pump + else max(input.temperature - props.max_cooling_temp_range, + props.dh_return_temp) + ) + + if props.use_heat_pump and props.calculate_cop and not props.hp_application_mode: + injection_temperature = calculate_injection_temp_with_heat_pump( + input.temperature, + props.hp_direct_heat_input_temp, + props.dh_return_temp, + input.temperature, + props.max_cooling_temp_range, + props.hp_minimum_injection_temperature + ) + + return DoubletOutput( + power=0.0, + hppower=0.0, + capex=0.0, + var_opex=0.0, + fixed_opex=0.0, + opex=0.0, + utc=0.0, + npv=0.0, + hprod=0.0, + cop=0.0, + cophp=0.0, + pres=0.0, + flow=0.0, + welld=0.0, + breakthrough=0.0, + cooling=0.0, + production_temp=0.0, + injection_temp=0.0 + ) + diff --git a/src/pythermogis/workflow/utc/doublet_utils.py b/src/pythermogis/workflow/utc/doublet_utils.py new file mode 100644 index 0000000..79f9a1f --- /dev/null +++ b/src/pythermogis/workflow/utc/doublet_utils.py @@ -0,0 +1,35 @@ +from numba import njit + +@njit +def calculate_injection_temp_with_heat_pump( + t_prod: float, + t_goal: float, + dh_return_temp: float, + reservoir_temp: float, + max_cooling_temp_range: float, + hp_minimum_injection_temperature: float, +): + t_kelvin = 273.15 + + eta = 0.5 + delta_t = 3 # deg C + + tc = t_goal + t_kelvin + tr = t_prod + t_kelvin + t_waste = min(dh_return_temp, t_prod) + t_kelvin + + num = ( + -eta * (tc + delta_t) * (t_waste + tr - tc) + - tc * tc + + tr * tc + - 2 * delta_t * (tc - tr) + ) + + denom = tr - tc - eta * (tc + delta_t) + + needed_injection_temp = num / denom - t_kelvin + + return max( + needed_injection_temp, + max(reservoir_temp - max_cooling_temp_range, hp_minimum_injection_temperature) + ) \ No newline at end of file diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py new file mode 100644 index 0000000..23267c4 --- /dev/null +++ b/tests/utc/test_doublet.py @@ -0,0 +1,26 @@ +from pythermogis.workflow.utc.doublet import calculate_doublet_performance, DoubletInput, DoubletOutput +from pythermogis.workflow.utc.utc_properties import UTCConfiguration + + + +def test_calculate_doublet_performance_runs_with_default_props(): + # Arrange: instantiate default UTCConfiguration + props = UTCConfiguration() + + # Create a minimal valid DoubletInput + input_data = DoubletInput( + unknown_input_value=0.0, + thickness=100.0, + transmissivity=5.0, + transmissivity_with_ntg=3.0, + ntg=0.1, + depth=1500, + porosity=0.2, + temperature=80.0, + ) + + # Act + result = calculate_doublet_performance(props, input_data) + + # Assert + assert isinstance(result, DoubletOutput) \ No newline at end of file diff --git a/tests/utc/test_doublet_utils.py b/tests/utc/test_doublet_utils.py new file mode 100644 index 0000000..385bac8 --- /dev/null +++ b/tests/utc/test_doublet_utils.py @@ -0,0 +1,65 @@ +import pytest +from pythermogis.workflow.utc.doublet_utils import calculate_injection_temp_with_heat_pump + + +EPSILON = 0.00000001 + + +def test_calculate_injection_temp_with_heat_pump_normal_case(): + t_prod = 50 + t_goal = 70 + dh_return_temp = 40 + reservoir_temp = 60 + max_cooling_temp_range = 15 + hp_minimum_injection_temperature = 30 + + result = calculate_injection_temp_with_heat_pump( + t_prod, + t_goal, + dh_return_temp, + reservoir_temp, + max_cooling_temp_range, + hp_minimum_injection_temperature + ) + + assert result == pytest.approx(45.0, abs=1e-6) + + +def test_calculate_injection_temp_with_heat_pump_enforces_minimum_injection_temp(): + t_prod = 50 + t_goal = 70 + dh_return_temp = 40 + reservoir_temp = 35 + max_cooling_temp_range = 10 + hp_minimum_injection_temperature = 40 + + result = calculate_injection_temp_with_heat_pump( + t_prod, + t_goal, + dh_return_temp, + reservoir_temp, + max_cooling_temp_range, + hp_minimum_injection_temperature + ) + + assert result == pytest.approx(40.0, abs=EPSILON) + + +def test_calculate_injection_temp_with_heat_pump_waste_temp_lower_than_prod_handled(): + t_prod = 60 + t_goal = 80 + dh_return_temp = 50 + reservoir_temp = 70 + max_cooling_temp_range = 20 + hp_minimum_injection_temperature = 35 + + result = calculate_injection_temp_with_heat_pump( + t_prod, + t_goal, + dh_return_temp, + reservoir_temp, + max_cooling_temp_range, + hp_minimum_injection_temperature + ) + + assert result == pytest.approx(50.0, abs=1e-6) diff --git a/tests/utc/test_utc_properties.py b/tests/utc/test_properties.py similarity index 100% rename from tests/utc/test_utc_properties.py rename to tests/utc/test_properties.py -- GitLab From 8ebbb2f10f20adeaa71e605dd0ceacd2afb17aa6 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Thu, 20 Nov 2025 12:47:27 +0100 Subject: [PATCH 04/73] added all up to doubletcalc --- src/pythermogis/workflow/utc/doublet.py | 14 ++- src/pythermogis/workflow/utc/doublet_utils.py | 25 ++++- src/pythermogis/workflow/utc/doubletcalc.py | 21 ++++ src/pythermogis/workflow/utc/flow.py | 105 ++++++++++++++++++ src/pythermogis/workflow/utc/heatpump.py | 75 +++++++++++++ src/pythermogis/workflow/utc/pressure.py | 65 +++++++++++ src/pythermogis/workflow/utc/water.py | 83 ++++++++++++++ 7 files changed, 386 insertions(+), 2 deletions(-) create mode 100644 src/pythermogis/workflow/utc/doubletcalc.py create mode 100644 src/pythermogis/workflow/utc/flow.py create mode 100644 src/pythermogis/workflow/utc/heatpump.py create mode 100644 src/pythermogis/workflow/utc/pressure.py create mode 100644 src/pythermogis/workflow/utc/water.py diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index 8a67d55..879f6af 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -2,6 +2,7 @@ from dataclasses import dataclass from pythermogis.workflow.utc.utc_properties import UTCConfiguration from pythermogis.workflow.utc.doublet_utils import calculate_injection_temp_with_heat_pump +from pythermogis.workflow.utc.pressure import calculate_max_pressure @dataclass @@ -36,7 +37,7 @@ class DoubletOutput: production_temp: float injection_temp: float -def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) -> DoubletOutput: +def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) -> DoubletOutput | None: well_distance = ( (props.optim_dist_well_dist_min + props.optim_dist_well_dist_max) / 2 if props.optim_well_dist @@ -61,6 +62,17 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) props.hp_minimum_injection_temperature ) + drawdown_pressure = calculate_max_pressure( + props, + input, + False, + well_distance, + injection_temperature, + ) + + if drawdown_pressure == 0: + return None + return DoubletOutput( power=0.0, hppower=0.0, diff --git a/src/pythermogis/workflow/utc/doublet_utils.py b/src/pythermogis/workflow/utc/doublet_utils.py index 79f9a1f..fad8eca 100644 --- a/src/pythermogis/workflow/utc/doublet_utils.py +++ b/src/pythermogis/workflow/utc/doublet_utils.py @@ -32,4 +32,27 @@ def calculate_injection_temp_with_heat_pump( return max( needed_injection_temp, max(reservoir_temp - max_cooling_temp_range, hp_minimum_injection_temperature) - ) \ No newline at end of file + ) + +@njit +def get_orc_efficiency(Tx: float, Ts: float, etarel: float) -> float: + return etarel * (Tx - Ts) / (Tx + Ts + 2 * 273.1) + +@njit +def get_cop_carnot(eta: float, Tout: float, Tin: float) -> float: + if Tout < 0.0 or Tin < 0.0: + return 0.0 + + if eta < 0.0 or eta > 1.0: + return 0.0 + + if Tout < Tin: + return 0.0 + + DHP = 3.0 + TKELVIN = 273.15 + + Tcond = Tout + DHP + Tevap = Tin - DHP + + return eta * (Tcond + TKELVIN) / (Tcond - Tevap) \ No newline at end of file diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py new file mode 100644 index 0000000..9fa1947 --- /dev/null +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -0,0 +1,21 @@ +from dataclasses import dataclass +from pythermogis.workflow.utc.utc_properties import UTCConfiguration +from pythermogis.workflow.utc.doublet import DoubletInput + +@dataclass +class Doublet1DResults: + geothermal_powers: float + cop: float + flowrate: float + pump_power_required: float + production_temp: float + heat_power_produced: list[float] + +def doubletcalc( + props: UTCConfiguration, + input: DoubletInput, + drawdown_pressure: float, + well_distance: float, + injection_temp: float, +) -> Doublet1DResults: + ... \ No newline at end of file diff --git a/src/pythermogis/workflow/utc/flow.py b/src/pythermogis/workflow/utc/flow.py new file mode 100644 index 0000000..2c5d3a4 --- /dev/null +++ b/src/pythermogis/workflow/utc/flow.py @@ -0,0 +1,105 @@ +from dataclasses import dataclass + +from pythermogis.workflow.utc.heatpump import calculate_heat_pump_performance +from pythermogis.workflow.utc.doublet_utils import get_orc_efficiency +from pythermogis.workflow.utc.doubletcalc import doubletcalc + +@dataclass +class VolumetricFlowResults: + hp_cop: float + hp_added_power: float + heat_power_per_doublet: float + cop: float + flowrate: float + pump_power_required: float + production_temp: float + heat_power_produced: list[float] + + +def calculate_volumetric_flow( + props, + input_data, + original_pressure: float, + well_distance: float, + injection_temp: float +): + STEPS = [0, 1, -1, 2, -2, 3, -3, 4, -4, 5, -5, 6, -6] + BAR_SI = 1e5 # Units.BAR_SI + hp_cop = 3.0 + hp_added_power = 0.0 + + d1d_results = None + iter_index = 0 + + while d1d_results is None and iter_index < len(STEPS): + drawdown_pressure = original_pressure + STEPS[iter_index] * BAR_SI + + d1d_results = doubletcalc( + props, input_data, drawdown_pressure, well_distance, injection_temp + ) + iter_index += 1 + + if d1d_results is None: + return None + + geothermal_powers = d1d_results.geothermal_powers + cop = d1d_results.cop + flowrate = d1d_results.flowrate + pump_power_required = d1d_results.pump_power_required + production_temp = d1d_results.production_temp + heat_power_produced = d1d_results.heat_power_produced + + he2 = props.heat_exchanger_efficiency + + if props.use_orc: + Ts = props.heat_exchanger_basetemp + he2 = get_orc_efficiency( + production_temp, Ts, props.heat_exchanger_efficiency + ) + + heat_power_per_doublet = max(1e-6, geothermal_powers * he2) + + for i in range(len(heat_power_produced)): + heat_power_produced[i] = max(1e-6, heat_power_produced[i] * he2) + + ignore_subsurface = ( + props.well_cost_scaling + + props.well_cost_const + + props.well_cost_z + + props.well_cost_z2 + ) < 1e-3 + + if ignore_subsurface: + cop = 1e4 + pump_power_required = 0.0 + + power_consumption = ((heat_power_per_doublet / he2) / cop) + \ + (heat_power_per_doublet * props.heat_exchanger_parasitic) + + if props.use_orc: + heat_power_per_doublet -= power_consumption + + cop = heat_power_per_doublet / power_consumption + + if props.use_heat_pump: + hp_results = calculate_heat_pump_performance( + props, + input_data, + production_temp, + injection_temp, + flowrate + ) + + hp_cop = hp_results.hp_cop + hp_added_power = hp_results.hp_added_power + + return VolumetricFlowResults( + hp_cop, + hp_added_power, + heat_power_per_doublet, + cop, + flowrate, + pump_power_required, + production_temp, + heat_power_produced + ) \ No newline at end of file diff --git a/src/pythermogis/workflow/utc/heatpump.py b/src/pythermogis/workflow/utc/heatpump.py new file mode 100644 index 0000000..7e1b6b1 --- /dev/null +++ b/src/pythermogis/workflow/utc/heatpump.py @@ -0,0 +1,75 @@ +from dataclasses import dataclass + +from pythermogis.workflow.utc.doublet_utils import get_cop_carnot +from pythermogis.workflow.utc.water import get_hydrostatic_pressure, get_salinity, density, heat_capacity + +@dataclass +class HeatPumpPerformanceResults: + hp_cop: float + hp_added_power: float + + +def calculate_heat_pump_performance( + props, + input_data, + production_temp: float, + injection_temp: float, + flowrate: float, +) -> HeatPumpPerformanceResults: + ETA_CARNOT = 0.6 + + + heat_pump_start_temp = calculate_heat_pump_start_temp( + props, production_temp, injection_temp + ) + + hydrostatic_pressure = get_hydrostatic_pressure(0) + + salinity = get_salinity( + props.salinity_surface, + props.salinity_gradient, + input_data.depth, + ) + + rho_water = density( + hydrostatic_pressure, props.surface_temperature, salinity + ) + + cp_water = heat_capacity( + hydrostatic_pressure, props.surface_temperature, salinity + ) + + if props.hp_calc_cop: + Tout = props.hp_direct_heat_input_temp + Tin = min(injection_temp, props.dh_return_temp) + hp_cop = get_cop_carnot(ETA_CARNOT, Tout, Tin) + else: + hp_cop = props.hp_capex + + waste_temp = min(heat_pump_start_temp, props.dh_return_temp) + delta_temp = max(0.0, waste_temp - injection_temp) + + hp_added_power = (flowrate / 3600.0) * delta_temp * rho_water * cp_water * 1e-6 + + if hp_added_power == 0: + hp_cop = 0.0 + + return HeatPumpPerformanceResults( + hp_cop=hp_cop, + hp_added_power=hp_added_power, + ) + + +def calculate_heat_pump_start_temp(props, production_temp: float, injection_temp: float) -> float: + """ + Python version of calculateHeatPumpStartTemp(...) + """ + + delta_temp_geothermal = production_temp - injection_temp + delta_temp_for_hex = 0.0 + + if props.hp_application_mode and production_temp > props.dh_return_temp: + delta_temp_for_hex = production_temp - props.dh_return_temp + delta_temp_for_hex = max(0.0, min(delta_temp_for_hex, delta_temp_geothermal)) + + return production_temp - delta_temp_for_hex \ No newline at end of file diff --git a/src/pythermogis/workflow/utc/pressure.py b/src/pythermogis/workflow/utc/pressure.py new file mode 100644 index 0000000..ecb28f3 --- /dev/null +++ b/src/pythermogis/workflow/utc/pressure.py @@ -0,0 +1,65 @@ +from pythermogis.workflow.utc.flow import calculate_volumetric_flow + +def calculate_max_pressure( + props, + input_data, + use_olsthoorn_max_pressure: bool, + well_distance: float, + injection_temp: float +) -> float: + + if use_olsthoorn_max_pressure: + max_pres = 0.2 * 0.1 * input_data.depth * 100000 + else: + max_pres = input_data.depth * (0.135 - props.hy_gradient) * 100000 + + pres = min(props.max_pump * 1e5, max_pres) + + results = calculate_volumetric_flow( + props, input_data, pres, well_distance, injection_temp + ) + + if results is None: + pres_tol = 1e3 + iter_count = 0 + + pres_min = 1e5 + pres_max = pres + + while iter_count < 1000 and abs(pres_max - pres_min) > pres_tol: + iter_count += 1 + pres = 0.5 * (pres_min + pres_max) + + results = calculate_volumetric_flow( + props, input_data, pres, well_distance, injection_temp + ) + + if results is not None: + pres_min = pres + else: + pres_max = pres + + if results is None: + pres -= pres_tol + results = calculate_volumetric_flow( + props, input_data, pres, well_distance, injection_temp + ) + + if results is None or iter_count >= 1000: + return 0.0 + + return pres + + if results.heatPowerPerDoublet() < 0 and not props.is_ates: + pres /= 2.0 + + results = calculate_volumetric_flow( + props, input_data, pres, well_distance, injection_temp + ) + + if results.heatPowerPerDoublet() < 0: + return 0.0 + else: + pres *= 2.0 + + return pres diff --git a/src/pythermogis/workflow/utc/water.py b/src/pythermogis/workflow/utc/water.py new file mode 100644 index 0000000..afb4833 --- /dev/null +++ b/src/pythermogis/workflow/utc/water.py @@ -0,0 +1,83 @@ +from numba import njit + +@njit +def get_hydrostatic_pressure(depth: float) -> float: + return 9810.0 * depth + 101325.0 + +@njit +def get_salinity(surface_salinity: float, gradient: float, depth: float) -> float: + return (surface_salinity + gradient * depth) / 1e6 + +@njit +def density(P: float, T: float, S: float, + pres_input_in_bar: bool = False, + salinity_input_in_ppm: bool = False) -> float: + + if pres_input_in_bar: + P *= 1e5 # Units.BAR_SI + + if salinity_input_in_ppm: + S *= 1e-6 + + if P < 1.0: + P = 1.0 + if T < 0.0: + T = 0.0 + if S < 0.0: + S = 0.0 + + P_MPa = P * 1e-6 + + density_fresh = 1.0 + 1e-6 * ( + -80.0 * T + - 3.3 * T * T + + 0.00175 * T * T * T + + 489.0 * P_MPa + - 2.0 * T * P_MPa + + 0.016 * T * T * P_MPa + - 1.3e-5 * T * T * T * P_MPa + - 0.333 * P_MPa * P_MPa + - 0.002 * T * P_MPa * P_MPa + ) + + density_val = density_fresh + S * ( + 0.668 + + 0.44 * S + + 1e-6 * ( + 300.0 * P_MPa + - 2400.0 * P_MPa * S + + T * ( + 80.0 + + 3.0 * T + - 3300.0 * S + - 13.0 * P_MPa + + 47.0 * P_MPa * S + ) + ) + ) + + return density_val * 1000.0 + +@njit +def heat_capacity(P: float, T: float, S: float, salinity_input_in_ppm: bool = False) -> float: + if salinity_input_in_ppm: + S *= 1e-6 + + if P < 1.0: + P = 1.0 + if T < 0.0: + T = 0.0 + if S < 0.0: + S = 0.0 + + T_K = T + 273.15 + S_g_per_kg = S * 1e3 + + heat_capacity_val = ( + (5.328 + -9.76e-2 * S_g_per_kg + 4.04e-4 * S_g_per_kg * S_g_per_kg) + + (-6.913e-3 + 7.351e-4 * S_g_per_kg - 3.15e-6 * S_g_per_kg * S_g_per_kg) * T_K + + (9.6e-6 - 1.927e-6 * S_g_per_kg + 8.23e-9 * S_g_per_kg * S_g_per_kg) * T_K * T_K + + (2.5e-9 + 1.666e-9 * S_g_per_kg - 7.125e-12 * S_g_per_kg * S_g_per_kg) * T_K * T_K * T_K + ) + + return heat_capacity_val * 1e3 \ No newline at end of file -- GitLab From 3b2a12d0c3a442ec3e8d68e44095c6e112784445 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Fri, 21 Nov 2025 20:34:56 +0100 Subject: [PATCH 05/73] udpatezz --- pixi.lock | 84 +++++++++++++++------ pyproject.toml | 1 + src/pythermogis/workflow/utc/doublet.py | 5 ++ src/pythermogis/workflow/utc/doubletcalc.py | 80 +++++++++++++++++++- src/pythermogis/workflow/utc/rock.py | 7 ++ src/pythermogis/workflow/utc/water.py | 6 +- 6 files changed, 159 insertions(+), 24 deletions(-) create mode 100644 src/pythermogis/workflow/utc/rock.py 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https://conda.anaconda.org/conda-forge/noarch/twine-6.1.0-pyh29332c3_0.conda sha256: c5b373f6512b96324c9607d7d91a76bb53c1056cb1012b4f9c86900c6b7f8898 md5: d319066fad04e07a0223bf9936090161 diff --git a/pyproject.toml b/pyproject.toml index 588231b..be7171d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -42,6 +42,7 @@ platforms = ["win-64", "linux-64"] [tool.pixi.pypi-dependencies] pythermogis = { path = ".", editable = true } +pydoubletcalc = { path = 'C:\Users\knappersfy\work\thermogis\pydoubletcalc', editable = true } [tool.pixi.tasks] test = "PYTHONPATH=src/pythermogis pytest -s tests/" diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index 879f6af..b07369e 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -16,6 +16,11 @@ class DoubletInput: porosity: float temperature: float + @property + def permeability(self) -> float: + DARCY_SI = 1.0e-12 / 1.01325 + return self.transmissivity / self.thickness * 1e-3 * DARCY_SI + @dataclass class DoubletOutput: power: float diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index 9fa1947..822daca 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -1,6 +1,14 @@ +from typing import TYPE_CHECKING + from dataclasses import dataclass from pythermogis.workflow.utc.utc_properties import UTCConfiguration -from pythermogis.workflow.utc.doublet import DoubletInput +from pydoubletcalc import Aquifer, Doublet, Well, WellPipeSegment +from pythermogis.workflow.utc.water import get_salinity +from pythermogis.workflow.utc.rock import get_geothermal_gradient + +if TYPE_CHECKING: + from pythermogis.workflow.utc.doublet import DoubletInput + @dataclass class Doublet1DResults: @@ -18,4 +26,72 @@ def doubletcalc( well_distance: float, injection_temp: float, ) -> Doublet1DResults: - ... \ No newline at end of file + aquifer = Aquifer( + permeability=input.permeability, + porosity=input.porosity, + net_to_gross=input.ntg, + thickness=input.thickness, + salinity=get_salinity(props.salinity_surface, props.salinity_gradient, input.depth), + surface_temperature=props.surface_temperature, + geothermal_gradient=get_geothermal_gradient(input.depth, input.thickness, input.temperature, props.surface_temperature), + rock_heat_capacity=855, + rock_density=2720, + thermal_conductivity=3, + thermal_diffusivity=1.2e-6, + ) + + injector = Well( + aquifer=aquifer, + well_type="injector", + pipe_segments=..., + aquifer_top_depth=..., + pipe_scaling=..., + target_segment_length=..., + outer_diameter=..., + skin=..., + pump_present=..., + pump_pressure=..., + pump_depth=..., + pump_efficiency=..., + pressure_balance_tolerance=..., + viscosity_mode=props.viscosity_mode, + heat_exchanger_exit_temperature=..., + ) + producer = Well( + aquifer=aquifer, + well_type="producer", + pipe_segments=..., + aquifer_top_depth=..., + pipe_scaling=..., + target_segment_length=..., + outer_diameter=..., + skin=..., + pump_present=..., + pump_pressure=..., + pump_depth=..., + pump_efficiency=..., + pressure_balance_tolerance=..., + viscosity_mode=props.viscosity_mode, + heat_exchanger_exit_temperature=..., + ) + doublet = Doublet( + aquifer=aquifer, + injector=injector, + producer=producer, + well_distance=well_distance, + cooling_fraction=0.1, + yearly_operating_hours=props.load_hours, + pressure_balance_tolerance=10, + viscosity_mode=props.viscosity_mode, + heat_exchanger_exit_temperature=injection_temp, + ) + doublet.simulate() + + return Doublet1DResults( # TODO: check these values. Not sure what conversions should or shouldnt be done + geothermal_powers=doublet.geothermal_power, + cop=doublet.cop, + flowrate=-doublet.volume_flow_pump * 3600, + pump_power_required=doublet.pump_power * 1e-6, + production_temp=doublet.nodes['prod_top'].temperature, + heat_power_produced=[doublet.geothermal_power] * props.econ_lifetime_years, + ) \ No newline at end of file diff --git a/src/pythermogis/workflow/utc/rock.py b/src/pythermogis/workflow/utc/rock.py new file mode 100644 index 0000000..245ef6d --- /dev/null +++ b/src/pythermogis/workflow/utc/rock.py @@ -0,0 +1,7 @@ +from numba import njit + +@njit +def get_geothermal_gradient(depth: float, thickness: float, temperature: float, surface_temperature: float) -> float: + d_depth = depth +0.5 * thickness + dt = temperature - surface_temperature + return dt / d_depth diff --git a/src/pythermogis/workflow/utc/water.py b/src/pythermogis/workflow/utc/water.py index afb4833..87f3abd 100644 --- a/src/pythermogis/workflow/utc/water.py +++ b/src/pythermogis/workflow/utc/water.py @@ -80,4 +80,8 @@ def heat_capacity(P: float, T: float, S: float, salinity_input_in_ppm: bool = Fa + (2.5e-9 + 1.666e-9 * S_g_per_kg - 7.125e-12 * S_g_per_kg * S_g_per_kg) * T_K * T_K * T_K ) - return heat_capacity_val * 1e3 \ No newline at end of file + return heat_capacity_val * 1e3 + +@njit +def get_salinity(surface_salinity, gradient, depth): + return (surface_salinity + gradient * depth) / 1e6 \ No newline at end of file -- GitLab From ffb756cd99f1a2b725cab191012c5f62c4a0d8ae Mon Sep 17 00:00:00 2001 From: knappersfy Date: Fri, 21 Nov 2025 21:57:47 +0100 Subject: [PATCH 06/73] finished doubletcalc --- src/pythermogis/workflow/utc/doubletcalc.py | 104 +++++++++++++++----- 1 file changed, 79 insertions(+), 25 deletions(-) diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index 822daca..8e9dd02 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -1,3 +1,4 @@ +import math from typing import TYPE_CHECKING from dataclasses import dataclass @@ -9,6 +10,7 @@ from pythermogis.workflow.utc.rock import get_geothermal_gradient if TYPE_CHECKING: from pythermogis.workflow.utc.doublet import DoubletInput +INCH_SI = 0.0254 @dataclass class Doublet1DResults: @@ -43,36 +45,46 @@ def doubletcalc( injector = Well( aquifer=aquifer, well_type="injector", - pipe_segments=..., - aquifer_top_depth=..., - pipe_scaling=..., - target_segment_length=..., - outer_diameter=..., - skin=..., - pump_present=..., - pump_pressure=..., - pump_depth=..., - pump_efficiency=..., - pressure_balance_tolerance=..., + pipe_segments=WellPipeSegment( + ah_depth=input.depth, + tv_depth=get_along_hole_length(input.depth, well_distance, props.well_curv_scaling, props.max_tvd_stepout_factor), + inner_diameter=props.inner_diameter * INCH_SI, + rougness=props.roughness * 1e-3 * INCH_SI + ), + aquifer_top_depth=input.depth, + pipe_scaling=0, + target_segment_length=props.segment_length, + outer_diameter=props.outer_diameter * INCH_SI, + skin=get_total_skin_injection(props, input), + pump_present=False, + pump_pressure=0, + pump_depth=0, + pump_efficiency=0, + pressure_balance_tolerance=10, viscosity_mode=props.viscosity_mode, - heat_exchanger_exit_temperature=..., + heat_exchanger_exit_temperature=injection_temp, ) producer = Well( aquifer=aquifer, well_type="producer", - pipe_segments=..., - aquifer_top_depth=..., - pipe_scaling=..., - target_segment_length=..., - outer_diameter=..., - skin=..., - pump_present=..., - pump_pressure=..., - pump_depth=..., - pump_efficiency=..., - pressure_balance_tolerance=..., + pipe_segments=WellPipeSegment( + ah_depth=input.depth, + tv_depth=get_along_hole_length(input.depth, well_distance, props.well_curv_scaling, props.max_tvd_stepout_factor), + inner_diameter=props.inner_diameter * INCH_SI, + rougness=props.roughness * 1e-3 * INCH_SI + ), + aquifer_top_depth=input.depth, + pipe_scaling=0, + target_segment_length=props.segment_length, + outer_diameter=props.outer_diameter * INCH_SI, + skin=get_total_skin_production(props, input), + pump_present=True, + pump_pressure=drawdown_pressure, + pump_depth=get_pump_production_depth(props, input.depth), + pump_efficiency=props.pump_efficiency, + pressure_balance_tolerance=10, viscosity_mode=props.viscosity_mode, - heat_exchanger_exit_temperature=..., + heat_exchanger_exit_temperature=injection_temp, ) doublet = Doublet( aquifer=aquifer, @@ -94,4 +106,46 @@ def doubletcalc( pump_power_required=doublet.pump_power * 1e-6, production_temp=doublet.nodes['prod_top'].temperature, heat_power_produced=[doublet.geothermal_power] * props.econ_lifetime_years, - ) \ No newline at end of file + ) + +def get_total_skin_injection(props, input): + if (not props.use_stimulation()) or (input.transmissivity_with_ntg() > props.stim_kh_max()): + stim_add_skin_inj = 0.0 + else: + stim_add_skin_inj = props.stim_add_skin_inj() + + return props.skin_injector() + stim_add_skin_inj + +def get_total_skin_production(props, input): + if (not props.use_stimulation()) or (input.transmissivity_with_ntg() > props.stim_kh_max()): + stim_add_skin_prod = 0.0 + else: + stim_add_skin_prod = props.stim_add_skin_prod() + + return props.skin_producer() + stim_add_skin_prod + +def get_pump_production_depth(props, depth: float) -> float: + return min(props.pump_depth(), depth / 2) + +def get_along_hole_length( + true_vertical_depth: float, + well_distance: float, + curve_scaling_factor: float, + max_true_vertical_depth_stepout_factor: float, +) -> float: + + if curve_scaling_factor == 0: + # Vertical well: along-hole length equals TVD + return true_vertical_depth + + # Horizontal distance from drilling location + stepout = 0.5 * well_distance + + max_stepout = true_vertical_depth * max_true_vertical_depth_stepout_factor + horizontal_distance = stepout - max_stepout if (stepout - max_stepout) > 0 else 0 + + stepout -= horizontal_distance + + oblique_distance = math.sqrt(stepout**2 + true_vertical_depth**2) * curve_scaling_factor + + return oblique_distance + horizontal_distance \ No newline at end of file -- GitLab From d328828b55f502890867f7adcf52612a99f33f5f Mon Sep 17 00:00:00 2001 From: knappersfy Date: Fri, 21 Nov 2025 22:34:59 +0100 Subject: [PATCH 07/73] progress. omg this is chaos --- src/pythermogis/workflow/utc/doublet.py | 58 ++- src/pythermogis/workflow/utc/doublet_utils.py | 200 ++++++++- src/pythermogis/workflow/utc/economics.py | 405 ++++++++++++++++++ src/pythermogis/workflow/utc/pressure.py | 219 ++++++++++ 4 files changed, 879 insertions(+), 3 deletions(-) create mode 100644 src/pythermogis/workflow/utc/economics.py diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index b07369e..cbc6313 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -1,8 +1,9 @@ from dataclasses import dataclass from pythermogis.workflow.utc.utc_properties import UTCConfiguration -from pythermogis.workflow.utc.doublet_utils import calculate_injection_temp_with_heat_pump -from pythermogis.workflow.utc.pressure import calculate_max_pressure +from pythermogis.workflow.utc.doublet_utils import optimize_well_distance, calculate_injection_temp_with_heat_pump, calculate_cooling_temperature +from pythermogis.workflow.utc.pressure import calculate_max_pressure, optimize_pressure + @dataclass @@ -78,6 +79,59 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) if drawdown_pressure == 0: return None + if props.optim_well_dist: + end_temperature_p = ( + props.optim_dist_cooling_fraction * + (input.temperature - injection_temperature) + ) + else: + end_temperature_p = calculate_cooling_temperature( + props, + input, + drawdown_pressure, + well_distance, + injection_temperature, + ) + + if props.optim_well_dist: + well_distance = optimize_well_distance( + props, + input, + drawdown_pressure, + injection_temperature, + ) + + stimulation_capex = ( + 0.0 + if (not props.use_stimulation or input.transmissivity_with_ntg > props.stim_kh_max) + else props.stimulation_capex + ) + + pressure_results = optimize_pressure( + props=props, + input=input, + drawdown_pressure=drawdown_pressure, + well_distance=well_distance, + injection_temp=injection_temperature, + stimulation_capex=stimulation_capex, + ) + + if pressure_results is None: + return None + + heat_power_per_doublet = pressure_results.heat_power_per_doublet + flowrate = pressure_results.flowrate + discounted_heat_produced_p = pressure_results.discounted_heat_produced_p + variable_opex = pressure_results.variable_opex + fixed_opex = pressure_results.fixed_opex + total_opex_ts = pressure_results.total_opex_ts + cop = pressure_results.cop + drawdown_pressure = pressure_results.drawdown_pressure # overwrite like Java + sum_capex = pressure_results.sum_capex + utc = pressure_results.utc + hp_added_power = pressure_results.hp_added_power + production_temp = pressure_results.production_temp + return DoubletOutput( power=0.0, hppower=0.0, diff --git a/src/pythermogis/workflow/utc/doublet_utils.py b/src/pythermogis/workflow/utc/doublet_utils.py index fad8eca..344534d 100644 --- a/src/pythermogis/workflow/utc/doublet_utils.py +++ b/src/pythermogis/workflow/utc/doublet_utils.py @@ -1,4 +1,7 @@ +import math from numba import njit +from pythermogis.workflow.utc.flow import calculate_volumetric_flow +from pythermogis.workflow.utc.water import density, heat_capacity, get_salinity, get_hydrostatic_pressure @njit def calculate_injection_temp_with_heat_pump( @@ -55,4 +58,199 @@ def get_cop_carnot(eta: float, Tout: float, Tin: float) -> float: Tcond = Tout + DHP Tevap = Tin - DHP - return eta * (Tcond + TKELVIN) / (Tcond - Tevap) \ No newline at end of file + return eta * (Tcond + TKELVIN) / (Tcond - Tevap) + + +def calculate_cooling_temperature( + props, + input, + drawdown_pressure: float, + well_distance: float, + injection_temp: float +) -> float: + + results = calculate_volumetric_flow( + props=props, + input_data=input, + original_pressure=drawdown_pressure, + well_distance=well_distance, + injection_temp=injection_temp, + ) + + flowrate = min(results.flowrate, props.max_flow) + + cooling_frac_min = 0.0 + cooling_frac_max = 0.5 + cooling_frac = 0.5 * (cooling_frac_min + cooling_frac_max) + + for _ in range(1000): + if abs(cooling_frac_max - cooling_frac_min) <= 0.001: + break + + cooling_frac = 0.5 * (cooling_frac_min + cooling_frac_max) + + lifetime = calc_lifetime( + well_distance=well_distance, + thickness=input.thickness * input.ntg, + delta_temp_fraction=cooling_frac, + porosity=input.porosity, + flowrate=flowrate, + depth=input.depth, + reservoir_temp=input.temperature, + salinity_surface=props.salinity_surface, + salinity_gradient=props.salinity_gradient, + cp_rock=props.optim_dist_cp_rock, + rho_rock=props.optim_dist_rho_rock, + ) + + if lifetime < props.optim_dist_lifetime: + cooling_frac_min = cooling_frac + else: + cooling_frac_max = cooling_frac + + if (not props.is_ates) and cooling_frac > 0.3: + raise RuntimeError( + f"Large cooling factor ({cooling_frac}) could result in less reliable calculation" + ) + + return cooling_frac * (input.temperature - injection_temp) + + +def calc_lifetime( + well_distance: float, + thickness: float, + delta_temp_fraction: float, + porosity: float, + flowrate: float, + depth: float, + reservoir_temp: float, + salinity_surface: float, + salinity_gradient: float, + cp_rock: float, + rho_rock: float, +) -> float: + """ + Python equivalent of DoubletUtils.calcLifetime(...) + """ + + # --- Water properties at depth --- + salinity = get_salinity(salinity_surface, salinity_gradient, depth) + pressure = get_hydrostatic_pressure(depth) + rho_water = density(pressure, reservoir_temp, salinity) + cp_water = heat_capacity(pressure, reservoir_temp, salinity) + + dangle = 0.05 * math.pi / 180.0 # radians + halfdist = well_distance * 0.5 + + angleseg = 0.5 * (2 * math.pi * delta_temp_fraction) + 0.5 * dangle + radius = halfdist / math.sin(angleseg) + + Aseg1 = 4 * ( + 0.5 * angleseg * radius**2 + - 0.5 * radius**2 * math.sin(angleseg) * math.cos(angleseg) + ) + + angleseg = 0.5 * (2 * math.pi * delta_temp_fraction) - 0.5 * dangle + radius = halfdist / math.sin(angleseg) + + Aseg2 = 4 * ( + 0.5 * angleseg * radius**2 + - 0.5 * radius**2 * math.sin(angleseg) * math.cos(angleseg) + ) + + Aseg = Aseg1 - Aseg2 + Vseg = Aseg * thickness + + Eseg = 1e-9 * Vseg * ( + (1 - porosity) * cp_rock * rho_rock + + porosity * cp_water * rho_water + ) + + flowseg = flowrate * 365 * 24 * dangle / math.pi + Eflowseg = 1e-9 * flowseg * cp_water * rho_water + + return Eseg / Eflowseg + + +def optimize_well_distance( + props, + input, + drawdown_pressure: float, + injection_temp: float, +) -> float: + """ + Python equivalent of WellDistanceOptimizer.optimize(...) + """ + + dist_min = props.optim_dist_well_dist_min + dist_max = props.optim_dist_well_dist_max + dist = 0.5 * (dist_min + dist_max) + + for iter_count in range(1000): + if abs(dist_max - dist_min) <= 10.0: + break + + dist = 0.5 * (dist_min + dist_max) + + # --- Compute flow for this distance --- + results = calculate_volumetric_flow( + props=props, + input_data=input, + original_pressure=drawdown_pressure, + well_distance=dist, + injection_temp=injection_temp, + ) + + flowrate = min(results.flowrate, props.max_flow) + + # --- Compute lifetime for this distance --- + lifetime = calc_lifetime( + well_distance=dist, + thickness=input.thickness * input.ntg, + delta_temp_fraction=props.optim_dist_cooling_fraction, + porosity=input.porosity, + flowrate=flowrate, + depth=input.depth, + reservoir_temp=input.temperature, + salinity_surface=props.salinity_surface, + salinity_gradient=props.salinity_gradient, + cp_rock=props.optim_dist_cp_rock, + rho_rock=props.optim_dist_rho_rock, + ) + + # --- Bisection rule --- + if lifetime < props.optim_dist_lifetime: + dist_min = dist + else: + dist_max = dist + + # If no convergence in 1000 iterations + else: + print(f"WARNING: Well distance optimization failed to converge. Final dist={dist}") + + return dist + + +def get_along_hole_length( + true_vertical_depth: float, + well_distance: float, + curve_scaling_factor: float, + max_true_vertical_depth_stepout_factor: float, +) -> float: + + if curve_scaling_factor == 0: + return true_vertical_depth + + stepout = 0.5 * well_distance + + max_stepout = true_vertical_depth * max_true_vertical_depth_stepout_factor + + horizontal_distance = stepout - max_stepout + if horizontal_distance < 0: + horizontal_distance = 0.0 + + stepout -= horizontal_distance + + oblique_distance = math.sqrt(stepout**2 + true_vertical_depth**2) * curve_scaling_factor + + return oblique_distance + horizontal_distance \ No newline at end of file diff --git a/src/pythermogis/workflow/utc/economics.py b/src/pythermogis/workflow/utc/economics.py new file mode 100644 index 0000000..958f4af --- /dev/null +++ b/src/pythermogis/workflow/utc/economics.py @@ -0,0 +1,405 @@ +import numpy as np + +from dataclasses import dataclass +from pythermogis.workflow.utc.doublet_utils import get_along_hole_length + +SECONDS_IN_YEAR = 365 * 24 * 3600 +MJ_TO_GJ = 1e-3 +KWH_TO_MJ = 0.36 * 1e9 +HOURS_IN_YEAR = 8760 + +@dataclass +class CapexCalculatorResults: + sum_capex: float + total_capex: float + variable_opex: list[float] + fixed_opex: list[float] + total_opex_ts: list[float] + heat_power_per_year: list[float] + +@dataclass +class UTCCalculatorResults: + discounted_heat_produced: float + utc: float + +@dataclass +class EconomicsResults: + capex: CapexCalculatorResults + utc: UTCCalculatorResults + +def calculate_economics( + props, + input, + well_distance: float, + heat_power_produced: list[float], + stimulation_capex: float, + hp_cop: float, + cop_hp_years: list[float] | None, + season_factor_years: list[float] | None, + hp_added_power_years: list[float] | None, + hp_added_power: float, + pump_power_required: float, +) -> EconomicsResults: + + + ah_length_array = [ + get_along_hole_length( + true_vertical_depth=input.depth, + well_distance=well_distance, + curve_scaling_factor=props.well_curv_scaling, + max_true_vertical_depth_stepout_factor=props.max_tvd_stepout_factor, + ) + ] + + capex_results = calculate_capex( + props=props, + heat_power_produced=heat_power_produced, + stimulation_capex=stimulation_capex, + hp_cop=hp_cop, + hp_cop_years=cop_hp_years, + season_factor_years=season_factor_years, + hp_added_power_years=hp_added_power_years, + initial_hp_added_power=hp_added_power, + ah_length_array=ah_length_array, + pump_power_required=pump_power_required, + ) + + utc_results = calculate_utc( + props=props, + heat_power_per_year=capex_results.heat_power_per_year, + total_opex_ts=capex_results.total_opex_ts, + total_capex=capex_results.total_capex, + ) + + return EconomicsResults( + capex=capex_results, + utc=utc_results, + ) + +def calculate_capex( + props, + heat_power_produced: list[float], + stimulation_capex: float, + hp_cop: float, + hp_cop_years: list[float] | None, + season_factor_years: list[float] | None, + hp_added_power_years: list[float] | None, + initial_hp_added_power: float, + ah_length_array: list[float], + pump_power_required: float, +) -> CapexCalculatorResults: + + n_years = props.economic_lifetime + + heat_power_per_year = np.zeros(n_years) + variable_opex = np.zeros(n_years) + fixed_opex = np.zeros(n_years) + total_opex_ts = np.zeros(n_years) + total_capex_ts = np.zeros(n_years) + + shifted_heat_power = heat_power_produced.copy() + shift_time_series(shifted_heat_power, props.drilling_time) + + capex_well = calculate_capex_for_wells(props, ah_length_array, stimulation_capex) + allocate_capex_for_wells(props, total_capex_ts, capex_well) + + hp_added_power = get_max_hp_added_power(initial_hp_added_power, hp_added_power_years) + hp_after_hp = calculate_hp_added_power_after_heat_pump(props, hp_added_power, hp_cop) + installation_mw = calculate_installation_mw(shifted_heat_power, hp_added_power) + + total_capex_1year = calculate_total_capex_1year( + props, total_capex_ts, hp_after_hp, installation_mw + ) + + sum_capex = process_annual_data( + props, + shifted_heat_power, + total_capex_ts, + heat_power_per_year, + variable_opex, + fixed_opex, + total_opex_ts, + total_capex_1year, + installation_mw, + hp_after_hp, + hp_cop, + hp_cop_years, + season_factor_years, + pump_power_required, + ) + + total_capex_sum = float(np.sum(total_capex_ts)) + + return CapexCalculatorResults( + sum_capex=float(sum_capex), + total_capex=float(total_capex_sum), + variable_opex=list(variable_opex), + fixed_opex=list(fixed_opex), + total_opex_ts=list(total_opex_ts), + heat_power_per_year=list(heat_power_per_year), + ) + + +def shift_time_series(series: list[float], shift: int): + n = len(series) + if shift <= 0 or shift >= n: + for i in range(n): + series[i] = 0 + else: + series[shift:] = series[: n - shift] + for i in range(shift): + series[i] = 0 + +def calculate_capex_for_wells(props, ah_length_array, stimulation_capex): + inj_depth = ah_length_array[0] + prod_depth = ah_length_array[0] + + capex = ( + calculate_well_cost(props, inj_depth) + + calculate_well_cost(props, prod_depth) + + stimulation_capex + ) + return capex * props.well_cost_scaling + +def calculate_well_cost(props, depth): + return ( + props.well_cost_z2 * depth**2 + + props.well_cost_z * depth + ) * 1e-6 + props.well_cost_const + +def allocate_capex_for_wells(props, total_capex_ts, capex_well): + drilling_years = props.drilling_time + yearly_cost = capex_well / max(drilling_years, 1) + + for y in range(drilling_years): + total_capex_ts[y] += yearly_cost + +def get_max_hp_added_power(initial, hp_power_years): + if hp_power_years is not None: + return max(hp_power_years) + return initial + +def calculate_hp_added_power_after_heat_pump(props, hp_added_power, hp_cop): + alt_price = props.hp_alternative_heating_price + return hp_added_power if alt_price < 0 else hp_added_power * (1 + 1 / (hp_cop - 1)) + +def calculate_installation_mw(heat_power_produced, hp_added_power): + last_val = heat_power_produced[-1] + return max(last_val - hp_added_power, 0) + +def calculate_total_capex_1year(props, total_capex_ts, hp_after_hp, installation_mw): + last_year = max(props.drilling_time - 1, 0) + + total_capex_ts[last_year] += ( + props.capex_const + + (props.hp_capex * hp_after_hp + props.capex_variable * installation_mw) * 1e-3 + ) + + total_capex_ts[last_year] *= (1 + props.capex_contingency / 100) + + return total_capex_ts[last_year] + +def process_annual_data( + props, + heat_power_produced, + total_capex_ts, + heat_power_per_year, + variable_opex, + fixed_opex, + total_opex_ts, + total_capex_1year, + installation_mw, + hp_after_hp, + hp_cop, + hp_cop_years, + season_factor_years, + pump_power_required, +): + + sum_capex = 0.0 + + for year in range(props.economic_lifetime): + + # Season factor + season_factor = ( + season_factor_years[year] + if season_factor_years is not None + else get_heat_exchanger_season_factor(props) + ) + + # COP for that year + year_hp_cop = hp_cop_years[year] if hp_cop_years is not None else hp_cop + + # Annual heat (GJ/yr) + heat_power_per_year[year] = ( + heat_power_produced[year] + * season_factor + * SECONDS_IN_YEAR + * MJ_TO_GJ + ) + + sum_capex += total_capex_ts[year] + total_opex_ts[year] = 0 + + # Skip drilling + negative production years + if year < props.drilling_time or heat_power_produced[year] < 0: + continue + + # Variable OPEX + variable_opex[year] = calculate_variable_opex( + props, + season_factor, + props.elec_purchase_price, + pump_power_required, + heat_power_produced[year], + props.heat_exchanger_parasitic, + heat_power_per_year[year], + year_hp_cop, + hp_after_hp, + ) + + # Fixed OPEX + fixed_opex[year] = calculate_fixed_opex( + props, + hp_after_hp, + installation_mw, + total_capex_1year, + ) + + total_opex_ts[year] = variable_opex[year] + fixed_opex[year] + + return sum_capex + +def calculate_variable_opex( + props, + season_factor, + elec_price, + pump_power, + heat_power_produced, + heat_exchanger_parasitic, + heat_power_gj_per_year, + hp_cop, + hp_after_hp, +): + pump_cost = ( + -(pump_power * 1e3) + * SECONDS_IN_YEAR * season_factor * elec_price + / KWH_TO_MJ * 1e-6 + ) + + parasitic_cost = ( + -(heat_power_produced * heat_exchanger_parasitic * 1e6) + * SECONDS_IN_YEAR * season_factor * elec_price + / KWH_TO_MJ * 1e-6 + ) + + opex_per_energy = ( + -(1 / 0.36) + * props.opex_per_energy * 1e-2 + * heat_power_gj_per_year * 1e4 / 36 * 1e-6 + ) + + heat_pump_cost = 0.0 + if hp_cop != 0: + heat_pump_cost = ( + -(hp_after_hp * 1e6 / hp_cop) + * SECONDS_IN_YEAR * season_factor * elec_price + / KWH_TO_MJ * 1e-6 + ) + + return pump_cost + parasitic_cost + heat_pump_cost + opex_per_energy + +def calculate_fixed_opex(props, hp_after_hp, installation_mw, total_capex): + return ( + -props.opex_base / 1e6 + - (props.hp_opex * hp_after_hp + props.opex_per_power * installation_mw) * 1e-3 + - total_capex * props.opex_per_capex / 100 + ) + +def get_heat_exchanger_season_factor(props): + return props.load_hours / HOURS_IN_YEAR + + +def calculate_utc( + props, + heat_power_per_year, + total_opex_ts, + total_capex, +) -> UTCCalculatorResults: + + net_cash_worth_eia = calculate_net_cash_worth_eia(props, total_capex) + present_value = total_capex * props.debt_equity - net_cash_worth_eia + yearly_payment = calculate_payment_value(props, present_value) + depreciation_cost = calculate_depreciation_cost(props, total_capex) + + discounted_income = 0.0 + discounted_heat_produced = 0.0 + + for year in range(1, props.economic_lifetime): + + inflated_opex = total_opex_ts[year] * ((1 + props.inflation) ** (year - 1)) + + future_value = calculate_future_value( + present_value, yearly_payment, props.interest_loan, year + ) + interest_payment = -(future_value * props.interest_loan) + + taxable_expenses = inflated_opex + depreciation_cost + interest_payment + tax_deduction = -(taxable_expenses * props.tax_rate) + + net_income = inflated_opex + yearly_payment + tax_deduction + + yearly_energy = heat_power_per_year[year] * (1 - props.tax_rate) + + discounted_income += net_income / ((1 + props.equity_return) ** year) + discounted_heat_produced += yearly_energy / ((1 + props.equity_return) ** year) + + utc = calculate_unit_technical_cost( + props, total_capex, discounted_income, discounted_heat_produced + ) + + if discounted_heat_produced < 0 or utc < 0: + raise ValueError( + f"discountedHeatProduced and unitTechnicalCost must be positive. " + f"Values were: {discounted_heat_produced}, {utc}" + ) + + return UTCCalculatorResults( + discounted_heat_produced=discounted_heat_produced, + utc=utc, + ) + +def calculate_net_cash_worth_eia(props, total_capex): + tax_rate = props.tax_rate + project_interest_rate = calculate_project_interest_rate(props) + return (tax_rate * (props.ecn_eia * total_capex)) / (1 + project_interest_rate) + +def calculate_payment_value(props, present_value): + if props.interest_loan == 0: + return 0.0 + + factor = (1 + props.interest_loan) ** props.economic_lifetime + return (props.interest_loan / (factor - 1)) * (-(present_value * factor)) + +def calculate_depreciation_cost(props, total_capex): + return -(total_capex / props.economic_lifetime) + +def calculate_future_value(present_value, payment, interest, year): + future_value = present_value * ((1 + interest) ** (year - 1)) + if payment != 0: + future_value += payment * (((1 + interest) ** (year - 1)) - 1) / interest + return future_value + +def calculate_unit_technical_cost(props, total_capex, discounted_income, discounted_heat_produced): + if discounted_heat_produced <= 0: + return 0.0 + return ( + (total_capex * (1 - props.debt_equity) - discounted_income) + / discounted_heat_produced + ) * 1e6 + +def calculate_project_interest_rate(props): + return ( + (1 - props.tax_rate) * props.interest_loan * props.debt_equity + + (1 - props.debt_equity) * props.equity_return + ) diff --git a/src/pythermogis/workflow/utc/pressure.py b/src/pythermogis/workflow/utc/pressure.py index ecb28f3..8319ace 100644 --- a/src/pythermogis/workflow/utc/pressure.py +++ b/src/pythermogis/workflow/utc/pressure.py @@ -1,3 +1,5 @@ + +from dataclasses import dataclass from pythermogis.workflow.utc.flow import calculate_volumetric_flow def calculate_max_pressure( @@ -63,3 +65,220 @@ def calculate_max_pressure( pres *= 2.0 return pres + +@dataclass +class PressureOptimizerResults: + drawdown_pressure: float + flowrate: float + heat_power_per_doublet: float + cop: float + utc: float + sum_capex: float + variable_opex: list[float] + fixed_opex: list[float] + total_opex_ts: list[float] + discounted_heat_produced: float + hp_added_power: float + production_temp: float + +def optimize_pressure( + props, + input, + drawdown_pressure: float, + well_distance: float, + injection_temp: float, + stimulation_capex: float, +): + + pres_tol = 1e-4 * drawdown_pressure + pres_step = 1e1 * pres_tol + + flow_results = calculate_volumetric_flow( + props=props, + input_data=input, + original_pressure=drawdown_pressure, + well_distance=well_distance, + injection_temp=injection_temp, + ) + if flow_results is None: + return None + + + if flow_results.production_temp > injection_temp: + + iter_count = 0 + pres_min = 1e5 * props.min_pump + pres_max = drawdown_pressure + + # If slope at initial pressure is positive → begin optimization + if ( + utc_slope( + props, input, pres_max, pres_step, + well_distance, injection_temp, stimulation_capex + ) > 0 + ): + while iter_count < 100 and abs(pres_max - pres_min) > pres_tol: + iter_count += 1 + pres = 0.5 * (pres_min + pres_max) + drawdown_pressure = pres + + flow_results = calculate_volumetric_flow( + props=props, + input_data=input, + original_pressure=drawdown_pressure, + well_distance=well_distance, + injection_temp=injection_temp, + ) + + if flow_results is not None: + utc_val = find_utc_for_pres( + props, input, pres, well_distance, injection_temp, stimulation_capex + ) + + slope = utc_slope( + props, input, pres, pres_step, + well_distance, injection_temp, stimulation_capex + ) + + if slope < utc_val * 1e-5 * 1e-2 * props.tolerance_utc_increase: + pres_min = pres + else: + pres_max = pres + + else: + # Slightly relax pressure if flow failed + pres_max = pres_max * 1.01 + + if flow_results is not None and flow_results.flowrate > props.max_flow: + + iter_count = 0 + pres_min = 0.0 + pres_max = drawdown_pressure + + while iter_count < 1000 and abs(pres_max - pres_min) > pres_tol: + iter_count += 1 + pres = 0.5 * (pres_min + pres_max) + drawdown_pressure = pres + + flow_results = calculate_volumetric_flow( + props=props, + input_data=input, + original_pressure=drawdown_pressure, + well_distance=well_distance, + injection_temp=injection_temp, + ) + + if flow_results.flowrate < props.max_flow: + pres_min = pres + else: + pres_max = pres + + # Final adjustment if flow still too high + if flow_results.flowrate > props.max_flow: + drawdown_pressure -= pres_tol + + + flow_results = calculate_volumetric_flow( + props=props, + input_data=input, + original_pressure=drawdown_pressure, + well_distance=well_distance, + injection_temp=injection_temp, + ) + if flow_results is None or flow_results.flowrate > props.max_flow: + return None + + + hp_added_power = flow_results.hp_added_power + if hp_added_power > 0: + hp_elec_consumption = hp_added_power / (flow_results.hp_cop - 1.0) + else: + hp_elec_consumption = 0.0 + + + cop = ( + (flow_results.heat_power_per_doublet + hp_elec_consumption) / + (flow_results.heat_power_per_doublet / flow_results.cop + hp_elec_consumption) + ) + + econ = calculate_economics( + props=props, + input=input, + well_distance=well_distance, + heat_power_produced=flow_results.heat_power_produced, + stimulation_capex=stimulation_capex, + hp_cop=flow_results.hp_cop, + fixed_opex=None, + variable_opex=None, + other_costs=None, + hp_added_power=flow_results.hp_added_power, + pump_power_required=flow_results.pump_power_required, + ) + + return PressureOptimizerResults( + drawdown_pressure=drawdown_pressure, + flowrate=flow_results.flowrate, + heat_power_per_doublet=flow_results.heat_power_per_doublet, + cop=cop, + utc=econ.utc.utc, + sum_capex=econ.capex.sum_capex, + variable_opex=econ.capex.variable_opex, + fixed_opex=econ.capex.fixed_opex, + total_opex_ts=econ.capex.total_opex_ts, + discounted_heat_produced=econ.utc.discounted_heat_produced, + hp_added_power=flow_results.hp_added_power, + production_temp=flow_results.production_temp, + ) + + +def utc_slope( + props, + input, + pres, + pres_step, + well_distance, + injection_temp, + stimulation_capex, +): + utc1 = find_utc_for_pres( + props, input, pres - pres_step / 2, + well_distance, injection_temp, stimulation_capex + ) + utc2 = find_utc_for_pres( + props, input, pres + pres_step / 2, + well_distance, injection_temp, stimulation_capex + ) + return (utc2 - utc1) / pres_step + + +def find_utc_for_pres( + props, + input, + pres, + well_distance, + injection_temp, + stimulation_capex, +): + flow_results = calculate_volumetric_flow( + props=props, + input_data=input, + original_pressure=pres, + well_distance=well_distance, + injection_temp=injection_temp, + ) + + econ = calculate_economics( + props=props, + input=input, + well_distance=well_distance, + heat_power_produced=flow_results.heat_power_produced, + stimulation_capex=stimulation_capex, + hp_cop=flow_results.hp_cop, + fixed_opex=None, + variable_opex=None, + other_costs=None, + hp_added_power=flow_results.hp_added_power, + pump_power_required=flow_results.pump_power_required, + ) + + return econ.utc.utc \ No newline at end of file -- GitLab From 7995cb9c5f2b1a9615b3a87741929603a6965580 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Fri, 21 Nov 2025 22:35:58 +0100 Subject: [PATCH 08/73] progress. omg this is chaos --- src/pythermogis/workflow/utc/pressure.py | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/src/pythermogis/workflow/utc/pressure.py b/src/pythermogis/workflow/utc/pressure.py index 8319ace..db9f431 100644 --- a/src/pythermogis/workflow/utc/pressure.py +++ b/src/pythermogis/workflow/utc/pressure.py @@ -1,6 +1,7 @@ from dataclasses import dataclass from pythermogis.workflow.utc.flow import calculate_volumetric_flow +from pythermogis.workflow.utc.economics import calculate_economics def calculate_max_pressure( props, @@ -208,9 +209,9 @@ def optimize_pressure( heat_power_produced=flow_results.heat_power_produced, stimulation_capex=stimulation_capex, hp_cop=flow_results.hp_cop, - fixed_opex=None, - variable_opex=None, - other_costs=None, + cop_hp_years=None, + season_factor_years=None, + hp_added_power_years=None, hp_added_power=flow_results.hp_added_power, pump_power_required=flow_results.pump_power_required, ) @@ -274,9 +275,9 @@ def find_utc_for_pres( heat_power_produced=flow_results.heat_power_produced, stimulation_capex=stimulation_capex, hp_cop=flow_results.hp_cop, - fixed_opex=None, - variable_opex=None, - other_costs=None, + cop_hp_years=None, + season_factor_years=None, + hp_added_power_years=None, hp_added_power=flow_results.hp_added_power, pump_power_required=flow_results.pump_power_required, ) -- GitLab From 90ed71e56c488fec2bf1c31c32ead895832c77fa Mon Sep 17 00:00:00 2001 From: knappersfy Date: Fri, 21 Nov 2025 22:48:53 +0100 Subject: [PATCH 09/73] finished: now debugging --- src/pythermogis/workflow/utc/doublet.py | 87 ++++++++++++++----- src/pythermogis/workflow/utc/doublet_utils.py | 6 -- 2 files changed, 67 insertions(+), 26 deletions(-) diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index cbc6313..56af75c 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -1,10 +1,12 @@ from dataclasses import dataclass from pythermogis.workflow.utc.utc_properties import UTCConfiguration -from pythermogis.workflow.utc.doublet_utils import optimize_well_distance, calculate_injection_temp_with_heat_pump, calculate_cooling_temperature +from pythermogis.workflow.utc.doublet_utils import optimize_well_distance, calculate_injection_temp_with_heat_pump, calculate_cooling_temperature, \ + calc_lifetime from pythermogis.workflow.utc.pressure import calculate_max_pressure, optimize_pressure - +EUR_PER_CT_PER_KWH = 0.36 +NPV_SCALE = 1e-6 @dataclass class DoubletInput: @@ -132,24 +134,69 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) hp_added_power = pressure_results.hp_added_power production_temp = pressure_results.production_temp + total_variable_opex = sum(variable_opex) + total_fixed_opex = sum(fixed_opex) + + utc_eur_ct_per_kwh = ( + input.unknown_input_value + if utc == input.unknown_input_value + else utc * EUR_PER_CT_PER_KWH + ) + + if abs(input.unknown_input_value) < 10: + if not (abs(utc_eur_ct_per_kwh - input.unknown_input_value) > 1e-4): + return None + else: + test = abs((utc_eur_ct_per_kwh / input.unknown_input_value) - 1) + if not (test > 1e-4): + return None + + breakthrough_years = calc_lifetime( + well_distance, + input.thickness*input.ntg, + 0.001, + input.porosity, + flowrate, + input.depth, + input.temperature, + props.salinity_surface, + props.salinity_gradient, + props.optim_dist_cp_rock, + props.optim_dist_rho_rock + ) + + utc_cutoff = ( + props.utc_cutoff_deep if input.depth > props.utc_deep_depth else props.utc_cutoff + ) + + npv = ( + NPV_SCALE + * (utc_cutoff - utc_eur_ct_per_kwh) + * 3.6 + * discounted_heat_produced_p + * (1 - props.tax_rate) + ) + opex_first_prod_year = total_opex_ts[props.drilling_time] + hp_cop = 3.0 + return DoubletOutput( - power=0.0, - hppower=0.0, - capex=0.0, - var_opex=0.0, - fixed_opex=0.0, - opex=0.0, - utc=0.0, - npv=0.0, - hprod=0.0, - cop=0.0, - cophp=0.0, - pres=0.0, - flow=0.0, - welld=0.0, - breakthrough=0.0, - cooling=0.0, - production_temp=0.0, - injection_temp=0.0 + power=heat_power_per_doublet, + hppower=hp_added_power, + capex=sum_capex, + var_opex=total_variable_opex, + fixed_opex=total_fixed_opex, + opex=opex_first_prod_year, + utc=utc_eur_ct_per_kwh, + npv=npv, + hprod=discounted_heat_produced_p, + cop=cop, + cophp=hp_cop, + pres=drawdown_pressure / 1e5, + flow=flowrate, + welld=well_distance, + breakthrough=breakthrough_years, + cooling=end_temperature_p, + production_temp=production_temp, + injection_temp=injection_temperature ) diff --git a/src/pythermogis/workflow/utc/doublet_utils.py b/src/pythermogis/workflow/utc/doublet_utils.py index 344534d..cf9126c 100644 --- a/src/pythermogis/workflow/utc/doublet_utils.py +++ b/src/pythermogis/workflow/utc/doublet_utils.py @@ -129,9 +129,6 @@ def calc_lifetime( cp_rock: float, rho_rock: float, ) -> float: - """ - Python equivalent of DoubletUtils.calcLifetime(...) - """ # --- Water properties at depth --- salinity = get_salinity(salinity_surface, salinity_gradient, depth) @@ -178,9 +175,6 @@ def optimize_well_distance( drawdown_pressure: float, injection_temp: float, ) -> float: - """ - Python equivalent of WellDistanceOptimizer.optimize(...) - """ dist_min = props.optim_dist_well_dist_min dist_max = props.optim_dist_well_dist_max -- GitLab From 82438826158c31f1da99a87cd01605936810480b Mon Sep 17 00:00:00 2001 From: knappersfy Date: Fri, 21 Nov 2025 23:05:53 +0100 Subject: [PATCH 10/73] debugzzz --- src/pythermogis/workflow/utc/cooling_temp.py | 56 +++++++++ src/pythermogis/workflow/utc/doublet.py | 4 +- src/pythermogis/workflow/utc/doublet_utils.py | 111 ------------------ src/pythermogis/workflow/utc/doubletcalc.py | 29 ++--- src/pythermogis/workflow/utc/well_distance.py | 58 +++++++++ tests/utc/test_doublet.py | 1 + 6 files changed, 131 insertions(+), 128 deletions(-) create mode 100644 src/pythermogis/workflow/utc/cooling_temp.py create mode 100644 src/pythermogis/workflow/utc/well_distance.py diff --git a/src/pythermogis/workflow/utc/cooling_temp.py b/src/pythermogis/workflow/utc/cooling_temp.py new file mode 100644 index 0000000..1a5be51 --- /dev/null +++ b/src/pythermogis/workflow/utc/cooling_temp.py @@ -0,0 +1,56 @@ +from pythermogis.workflow.utc.flow import calculate_volumetric_flow + + +def calculate_cooling_temperature( + props, + input, + drawdown_pressure: float, + well_distance: float, + injection_temp: float +) -> float: + + results = calculate_volumetric_flow( + props=props, + input_data=input, + original_pressure=drawdown_pressure, + well_distance=well_distance, + injection_temp=injection_temp, + ) + + flowrate = min(results.flowrate, props.max_flow) + + cooling_frac_min = 0.0 + cooling_frac_max = 0.5 + cooling_frac = 0.5 * (cooling_frac_min + cooling_frac_max) + + for _ in range(1000): + if abs(cooling_frac_max - cooling_frac_min) <= 0.001: + break + + cooling_frac = 0.5 * (cooling_frac_min + cooling_frac_max) + + lifetime = calc_lifetime( + well_distance=well_distance, + thickness=input.thickness * input.ntg, + delta_temp_fraction=cooling_frac, + porosity=input.porosity, + flowrate=flowrate, + depth=input.depth, + reservoir_temp=input.temperature, + salinity_surface=props.salinity_surface, + salinity_gradient=props.salinity_gradient, + cp_rock=props.optim_dist_cp_rock, + rho_rock=props.optim_dist_rho_rock, + ) + + if lifetime < props.optim_dist_lifetime: + cooling_frac_min = cooling_frac + else: + cooling_frac_max = cooling_frac + + if (not props.is_ates) and cooling_frac > 0.3: + raise RuntimeError( + f"Large cooling factor ({cooling_frac}) could result in less reliable calculation" + ) + + return cooling_frac * (input.temperature - injection_temp) diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index 56af75c..db8a2cc 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -1,9 +1,11 @@ from dataclasses import dataclass from pythermogis.workflow.utc.utc_properties import UTCConfiguration -from pythermogis.workflow.utc.doublet_utils import optimize_well_distance, calculate_injection_temp_with_heat_pump, calculate_cooling_temperature, \ +from pythermogis.workflow.utc.doublet_utils import calculate_injection_temp_with_heat_pump, \ calc_lifetime from pythermogis.workflow.utc.pressure import calculate_max_pressure, optimize_pressure +from pythermogis.workflow.utc.cooling_temp import calculate_cooling_temperature +from pythermogis.workflow.utc.well_distance import optimize_well_distance EUR_PER_CT_PER_KWH = 0.36 NPV_SCALE = 1e-6 diff --git a/src/pythermogis/workflow/utc/doublet_utils.py b/src/pythermogis/workflow/utc/doublet_utils.py index cf9126c..7eba85a 100644 --- a/src/pythermogis/workflow/utc/doublet_utils.py +++ b/src/pythermogis/workflow/utc/doublet_utils.py @@ -1,6 +1,5 @@ import math from numba import njit -from pythermogis.workflow.utc.flow import calculate_volumetric_flow from pythermogis.workflow.utc.water import density, heat_capacity, get_salinity, get_hydrostatic_pressure @njit @@ -61,61 +60,6 @@ def get_cop_carnot(eta: float, Tout: float, Tin: float) -> float: return eta * (Tcond + TKELVIN) / (Tcond - Tevap) -def calculate_cooling_temperature( - props, - input, - drawdown_pressure: float, - well_distance: float, - injection_temp: float -) -> float: - - results = calculate_volumetric_flow( - props=props, - input_data=input, - original_pressure=drawdown_pressure, - well_distance=well_distance, - injection_temp=injection_temp, - ) - - flowrate = min(results.flowrate, props.max_flow) - - cooling_frac_min = 0.0 - cooling_frac_max = 0.5 - cooling_frac = 0.5 * (cooling_frac_min + cooling_frac_max) - - for _ in range(1000): - if abs(cooling_frac_max - cooling_frac_min) <= 0.001: - break - - cooling_frac = 0.5 * (cooling_frac_min + cooling_frac_max) - - lifetime = calc_lifetime( - well_distance=well_distance, - thickness=input.thickness * input.ntg, - delta_temp_fraction=cooling_frac, - porosity=input.porosity, - flowrate=flowrate, - depth=input.depth, - reservoir_temp=input.temperature, - salinity_surface=props.salinity_surface, - salinity_gradient=props.salinity_gradient, - cp_rock=props.optim_dist_cp_rock, - rho_rock=props.optim_dist_rho_rock, - ) - - if lifetime < props.optim_dist_lifetime: - cooling_frac_min = cooling_frac - else: - cooling_frac_max = cooling_frac - - if (not props.is_ates) and cooling_frac > 0.3: - raise RuntimeError( - f"Large cooling factor ({cooling_frac}) could result in less reliable calculation" - ) - - return cooling_frac * (input.temperature - injection_temp) - - def calc_lifetime( well_distance: float, thickness: float, @@ -169,61 +113,6 @@ def calc_lifetime( return Eseg / Eflowseg -def optimize_well_distance( - props, - input, - drawdown_pressure: float, - injection_temp: float, -) -> float: - - dist_min = props.optim_dist_well_dist_min - dist_max = props.optim_dist_well_dist_max - dist = 0.5 * (dist_min + dist_max) - - for iter_count in range(1000): - if abs(dist_max - dist_min) <= 10.0: - break - - dist = 0.5 * (dist_min + dist_max) - - # --- Compute flow for this distance --- - results = calculate_volumetric_flow( - props=props, - input_data=input, - original_pressure=drawdown_pressure, - well_distance=dist, - injection_temp=injection_temp, - ) - - flowrate = min(results.flowrate, props.max_flow) - - # --- Compute lifetime for this distance --- - lifetime = calc_lifetime( - well_distance=dist, - thickness=input.thickness * input.ntg, - delta_temp_fraction=props.optim_dist_cooling_fraction, - porosity=input.porosity, - flowrate=flowrate, - depth=input.depth, - reservoir_temp=input.temperature, - salinity_surface=props.salinity_surface, - salinity_gradient=props.salinity_gradient, - cp_rock=props.optim_dist_cp_rock, - rho_rock=props.optim_dist_rho_rock, - ) - - # --- Bisection rule --- - if lifetime < props.optim_dist_lifetime: - dist_min = dist - else: - dist_max = dist - - # If no convergence in 1000 iterations - else: - print(f"WARNING: Well distance optimization failed to converge. Final dist={dist}") - - return dist - def get_along_hole_length( true_vertical_depth: float, diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index 8e9dd02..1b7bb24 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -1,5 +1,4 @@ import math -from typing import TYPE_CHECKING from dataclasses import dataclass from pythermogis.workflow.utc.utc_properties import UTCConfiguration @@ -7,8 +6,6 @@ from pydoubletcalc import Aquifer, Doublet, Well, WellPipeSegment from pythermogis.workflow.utc.water import get_salinity from pythermogis.workflow.utc.rock import get_geothermal_gradient -if TYPE_CHECKING: - from pythermogis.workflow.utc.doublet import DoubletInput INCH_SI = 0.0254 @@ -23,7 +20,7 @@ class Doublet1DResults: def doubletcalc( props: UTCConfiguration, - input: DoubletInput, + input, drawdown_pressure: float, well_distance: float, injection_temp: float, @@ -45,12 +42,12 @@ def doubletcalc( injector = Well( aquifer=aquifer, well_type="injector", - pipe_segments=WellPipeSegment( + pipe_segments=[WellPipeSegment( ah_depth=input.depth, tv_depth=get_along_hole_length(input.depth, well_distance, props.well_curv_scaling, props.max_tvd_stepout_factor), inner_diameter=props.inner_diameter * INCH_SI, - rougness=props.roughness * 1e-3 * INCH_SI - ), + roughness=props.roughness * 1e-3 * INCH_SI + )], aquifer_top_depth=input.depth, pipe_scaling=0, target_segment_length=props.segment_length, @@ -67,12 +64,12 @@ def doubletcalc( producer = Well( aquifer=aquifer, well_type="producer", - pipe_segments=WellPipeSegment( + pipe_segments=[WellPipeSegment( ah_depth=input.depth, tv_depth=get_along_hole_length(input.depth, well_distance, props.well_curv_scaling, props.max_tvd_stepout_factor), inner_diameter=props.inner_diameter * INCH_SI, - rougness=props.roughness * 1e-3 * INCH_SI - ), + roughness=props.roughness * 1e-3 * INCH_SI + )], aquifer_top_depth=input.depth, pipe_scaling=0, target_segment_length=props.segment_length, @@ -109,23 +106,23 @@ def doubletcalc( ) def get_total_skin_injection(props, input): - if (not props.use_stimulation()) or (input.transmissivity_with_ntg() > props.stim_kh_max()): + if (not props.use_stimulation) or (input.transmissivity_with_ntg > props.stim_kh_max): stim_add_skin_inj = 0.0 else: stim_add_skin_inj = props.stim_add_skin_inj() - return props.skin_injector() + stim_add_skin_inj + return props.skin_injector + stim_add_skin_inj def get_total_skin_production(props, input): - if (not props.use_stimulation()) or (input.transmissivity_with_ntg() > props.stim_kh_max()): + if (not props.use_stimulation) or (input.transmissivity_with_ntg > props.stim_kh_max): stim_add_skin_prod = 0.0 else: - stim_add_skin_prod = props.stim_add_skin_prod() + stim_add_skin_prod = props.stim_add_skin_prod - return props.skin_producer() + stim_add_skin_prod + return props.skin_producer + stim_add_skin_prod def get_pump_production_depth(props, depth: float) -> float: - return min(props.pump_depth(), depth / 2) + return min(props.pump_depth, depth / 2) def get_along_hole_length( true_vertical_depth: float, diff --git a/src/pythermogis/workflow/utc/well_distance.py b/src/pythermogis/workflow/utc/well_distance.py new file mode 100644 index 0000000..01249f6 --- /dev/null +++ b/src/pythermogis/workflow/utc/well_distance.py @@ -0,0 +1,58 @@ +from pythermogis.workflow.utc.doublet_utils import calc_lifetime +from pythermogis.workflow.utc.flow import calculate_volumetric_flow + + +def optimize_well_distance( + props, + input, + drawdown_pressure: float, + injection_temp: float, +) -> float: + + dist_min = props.optim_dist_well_dist_min + dist_max = props.optim_dist_well_dist_max + dist = 0.5 * (dist_min + dist_max) + + for iter_count in range(1000): + if abs(dist_max - dist_min) <= 10.0: + break + + dist = 0.5 * (dist_min + dist_max) + + # --- Compute flow for this distance --- + results = calculate_volumetric_flow( + props=props, + input_data=input, + original_pressure=drawdown_pressure, + well_distance=dist, + injection_temp=injection_temp, + ) + + flowrate = min(results.flowrate, props.max_flow) + + # --- Compute lifetime for this distance --- + lifetime = calc_lifetime( + well_distance=dist, + thickness=input.thickness * input.ntg, + delta_temp_fraction=props.optim_dist_cooling_fraction, + porosity=input.porosity, + flowrate=flowrate, + depth=input.depth, + reservoir_temp=input.temperature, + salinity_surface=props.salinity_surface, + salinity_gradient=props.salinity_gradient, + cp_rock=props.optim_dist_cp_rock, + rho_rock=props.optim_dist_rho_rock, + ) + + # --- Bisection rule --- + if lifetime < props.optim_dist_lifetime: + dist_min = dist + else: + dist_max = dist + + # If no convergence in 1000 iterations + else: + print(f"WARNING: Well distance optimization failed to converge. Final dist={dist}") + + return dist diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 23267c4..8cc2f63 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -21,6 +21,7 @@ def test_calculate_doublet_performance_runs_with_default_props(): # Act result = calculate_doublet_performance(props, input_data) + print(result) # Assert assert isinstance(result, DoubletOutput) \ No newline at end of file -- GitLab From 5be6e03d1aef648e5f5c49b56b7535a89354cdfc Mon Sep 17 00:00:00 2001 From: knappersfy Date: Mon, 24 Nov 2025 11:49:17 +0100 Subject: [PATCH 11/73] debugd issue 1 --- src/pythermogis/workflow/utc/doubletcalc.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index 1b7bb24..3b55717 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -43,8 +43,8 @@ def doubletcalc( aquifer=aquifer, well_type="injector", pipe_segments=[WellPipeSegment( - ah_depth=input.depth, - tv_depth=get_along_hole_length(input.depth, well_distance, props.well_curv_scaling, props.max_tvd_stepout_factor), + ah_depth=get_along_hole_length(input.depth, well_distance, props.well_curv_scaling, props.max_tvd_stepout_factor), + tv_depth=input.depth, inner_diameter=props.inner_diameter * INCH_SI, roughness=props.roughness * 1e-3 * INCH_SI )], -- GitLab From f66600510473e8baf1ce01971985a31cfce84eb9 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Mon, 24 Nov 2025 11:51:01 +0100 Subject: [PATCH 12/73] debugd issue 2 --- src/pythermogis/workflow/utc/utc_properties.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/pythermogis/workflow/utc/utc_properties.py b/src/pythermogis/workflow/utc/utc_properties.py index af7fe13..1b4da8c 100644 --- a/src/pythermogis/workflow/utc/utc_properties.py +++ b/src/pythermogis/workflow/utc/utc_properties.py @@ -11,7 +11,7 @@ class AquiferFile(NamedTuple): postfix: str newPostfix: str -ViscosityMode = Literal["KESTIN", "BATZLEWANG"] +ViscosityMode = Literal["kestin", "batzlewang"] @dataclass(frozen=True) class UTCConfiguration: @@ -126,7 +126,7 @@ class UTCConfiguration: hp_capex: float = 600.0 hp_opex: float = 60.0 hp_alternative_heating_price: float = 2.8 - viscosity_mode: ViscosityMode = "BATZLEWANG" + viscosity_mode: ViscosityMode = "batzlewang" # Economical data economic_lifetime: int = 15 -- GitLab From 664ffce3de25e66751c764717ab86b2f433a6873 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Mon, 24 Nov 2025 11:51:24 +0100 Subject: [PATCH 13/73] debugd issue 3 --- src/pythermogis/workflow/utc/doubletcalc.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index 3b55717..6580cc7 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -65,8 +65,8 @@ def doubletcalc( aquifer=aquifer, well_type="producer", pipe_segments=[WellPipeSegment( - ah_depth=input.depth, - tv_depth=get_along_hole_length(input.depth, well_distance, props.well_curv_scaling, props.max_tvd_stepout_factor), + ah_depth=get_along_hole_length(input.depth, well_distance, props.well_curv_scaling, props.max_tvd_stepout_factor), + tv_depth=input.depth, inner_diameter=props.inner_diameter * INCH_SI, roughness=props.roughness * 1e-3 * INCH_SI )], -- GitLab From 18c82b083bc620066f3be225633d390f4caf2949 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Mon, 24 Nov 2025 11:52:04 +0100 Subject: [PATCH 14/73] debugd issue 4 --- src/pythermogis/workflow/utc/pressure.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/pythermogis/workflow/utc/pressure.py b/src/pythermogis/workflow/utc/pressure.py index db9f431..2303f67 100644 --- a/src/pythermogis/workflow/utc/pressure.py +++ b/src/pythermogis/workflow/utc/pressure.py @@ -53,7 +53,7 @@ def calculate_max_pressure( return pres - if results.heatPowerPerDoublet() < 0 and not props.is_ates: + if results.heat_power_per_doublet < 0 and not props.is_ates: pres /= 2.0 results = calculate_volumetric_flow( -- GitLab From 8acb04e7d408d6f187d5e91746cd65b0a436f07c Mon Sep 17 00:00:00 2001 From: knappersfy Date: Mon, 24 Nov 2025 11:52:53 +0100 Subject: [PATCH 15/73] debugd issue 5 --- src/pythermogis/workflow/utc/doublet.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index db8a2cc..006a2fe 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -125,7 +125,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) heat_power_per_doublet = pressure_results.heat_power_per_doublet flowrate = pressure_results.flowrate - discounted_heat_produced_p = pressure_results.discounted_heat_produced_p + discounted_heat_produced_p = pressure_results.discounted_heat_produced variable_opex = pressure_results.variable_opex fixed_opex = pressure_results.fixed_opex total_opex_ts = pressure_results.total_opex_ts -- GitLab From 1a4447dcf7868bc6104b0b63c544381da9b353ee Mon Sep 17 00:00:00 2001 From: knappersfy Date: Mon, 24 Nov 2025 12:08:25 +0100 Subject: [PATCH 16/73] setup doublet test (fails for now) --- tests/utc/test_doublet.py | 30 ++++++++++++++++++++---------- 1 file changed, 20 insertions(+), 10 deletions(-) diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 8cc2f63..43f0621 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -1,3 +1,5 @@ +import numpy as np + from pythermogis.workflow.utc.doublet import calculate_doublet_performance, DoubletInput, DoubletOutput from pythermogis.workflow.utc.utc_properties import UTCConfiguration @@ -5,23 +7,31 @@ from pythermogis.workflow.utc.utc_properties import UTCConfiguration def test_calculate_doublet_performance_runs_with_default_props(): # Arrange: instantiate default UTCConfiguration - props = UTCConfiguration() + props = UTCConfiguration( + viscosity_mode="kestin", + dh_return_temp=40, + ) # Create a minimal valid DoubletInput input_data = DoubletInput( - unknown_input_value=0.0, + unknown_input_value=-999.0, thickness=100.0, - transmissivity=5.0, - transmissivity_with_ntg=3.0, - ntg=0.1, - depth=1500, - porosity=0.2, - temperature=80.0, + transmissivity=17500.0, + transmissivity_with_ntg=0.0, + ntg=1.0, + depth=2000, + porosity=0.0, + temperature=76.0, ) # Act result = calculate_doublet_performance(props, input_data) - print(result) # Assert - assert isinstance(result, DoubletOutput) \ No newline at end of file + assert isinstance(result, DoubletOutput) + assert np.isclose(result.flow, 227.2757568359375, rtol=1) + assert np.isclose(result.pres, 60, rtol=0.001) + assert np.isclose(result.utc, 6.616096470753937, rtol=0.001) + assert np.isclose(result.welld, 1159.17968, rtol=0.001) + assert np.isclose(result.power, 8.636903762817383, rtol=0.001) + assert np.isclose(result.cop, 13.627557754516602, rtol=0.001) -- GitLab From 702c0e56f9b0ad2e1c03b93524490419bc6c719f Mon Sep 17 00:00:00 2001 From: knappersfy Date: Mon, 24 Nov 2025 12:10:40 +0100 Subject: [PATCH 17/73] setup doublet test (fails for now) --- tests/utc/test_doublet.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 43f0621..76a1d26 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -26,6 +26,7 @@ def test_calculate_doublet_performance_runs_with_default_props(): # Act result = calculate_doublet_performance(props, input_data) + print(result) # Assert assert isinstance(result, DoubletOutput) @@ -35,3 +36,5 @@ def test_calculate_doublet_performance_runs_with_default_props(): assert np.isclose(result.welld, 1159.17968, rtol=0.001) assert np.isclose(result.power, 8.636903762817383, rtol=0.001) assert np.isclose(result.cop, 13.627557754516602, rtol=0.001) + + -- GitLab From 253e669d5a153ddae72e5a6e6224a44c3f4a29ae Mon Sep 17 00:00:00 2001 From: knappersfy Date: Mon, 24 Nov 2025 12:11:37 +0100 Subject: [PATCH 18/73] setup doublet test (fails for now) --- tests/utc/test_doublet.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 76a1d26..60869b7 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -5,7 +5,7 @@ from pythermogis.workflow.utc.utc_properties import UTCConfiguration -def test_calculate_doublet_performance_runs_with_default_props(): +def test_calculate_doublet_performance(): # Arrange: instantiate default UTCConfiguration props = UTCConfiguration( viscosity_mode="kestin", -- GitLab From b7c671c0fd4c850c45373ded82eb565535a033c5 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Mon, 24 Nov 2025 14:09:06 +0100 Subject: [PATCH 19/73] setup some tests --- src/pythermogis/workflow/utc/doubletcalc.py | 2 +- tests/utc/test_calculate_volumetric_flow.py | 30 +++++++++++++++++++++ tests/utc/test_doublet.py | 3 +++ tests/utc/test_doubletcalc.py | 28 +++++++++++++++++++ tests/utc/test_well_distance_optimizer.py | 23 ++++++++++++++++ 5 files changed, 85 insertions(+), 1 deletion(-) create mode 100644 tests/utc/test_calculate_volumetric_flow.py create mode 100644 tests/utc/test_doubletcalc.py create mode 100644 tests/utc/test_well_distance_optimizer.py diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index 6580cc7..0f5ec62 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -99,7 +99,7 @@ def doubletcalc( return Doublet1DResults( # TODO: check these values. Not sure what conversions should or shouldnt be done geothermal_powers=doublet.geothermal_power, cop=doublet.cop, - flowrate=-doublet.volume_flow_pump * 3600, + flowrate=doublet.volume_flow_pump * 3600, pump_power_required=doublet.pump_power * 1e-6, production_temp=doublet.nodes['prod_top'].temperature, heat_power_produced=[doublet.geothermal_power] * props.econ_lifetime_years, diff --git a/tests/utc/test_calculate_volumetric_flow.py b/tests/utc/test_calculate_volumetric_flow.py new file mode 100644 index 0000000..7753ac1 --- /dev/null +++ b/tests/utc/test_calculate_volumetric_flow.py @@ -0,0 +1,30 @@ +from pythermogis.workflow.utc.utc_properties import UTCConfiguration +from pythermogis.workflow.utc.doublet import DoubletInput +from pythermogis.workflow.utc.flow import calculate_volumetric_flow + +import numpy as np + +def test_calculate_volumetric_flow(): + props = UTCConfiguration() + + input_data = DoubletInput( + unknown_input_value=-999.0, + thickness=100.0, + transmissivity=17500.0, + transmissivity_with_ntg=0.0, + ntg=1.0, + depth=2000, + porosity=0.0, + temperature=50.0, + ) + + flow_results = calculate_volumetric_flow(props, input_data, 600000, 1550, 40) + + assert np.isclose(flow_results.hp_cop, 3.0, rtol=0.000001) + assert np.isclose(flow_results.hp_added_power, 0.0, rtol=0.000001) + assert np.isclose(flow_results.heat_power_per_doublet, 0.027926914290870505, rtol=0.000001) + assert np.isclose(flow_results.cop, 5.396068601571214, rtol=0.000001) + assert np.isclose(flow_results.flowrate, 18.631507399806665, rtol=0.000001) + assert np.isclose(flow_results.pump_power_required, 5.175418689587975, rtol=0.000001) + assert np.isclose(flow_results.production_temp, 41.36211427733413, rtol=0.000001) + assert np.isclose(flow_results.heat_power_produced[0], 0.027926914290870505, rtol=0.000001) \ No newline at end of file diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 60869b7..346d092 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -36,5 +36,8 @@ def test_calculate_doublet_performance(): assert np.isclose(result.welld, 1159.17968, rtol=0.001) assert np.isclose(result.power, 8.636903762817383, rtol=0.001) assert np.isclose(result.cop, 13.627557754516602, rtol=0.001) + assert np.isclose(result.var_opex, -7.510325908660889, rtol=0.001) + assert np.isclose(result.fixed_opex, -11.227973937988281, rtol=0.001) + diff --git a/tests/utc/test_doubletcalc.py b/tests/utc/test_doubletcalc.py new file mode 100644 index 0000000..841cdd3 --- /dev/null +++ b/tests/utc/test_doubletcalc.py @@ -0,0 +1,28 @@ +from pythermogis.workflow.utc.utc_properties import UTCConfiguration +from pythermogis.workflow.utc.doublet import DoubletInput +from pythermogis.workflow.utc.doubletcalc import doubletcalc + +import numpy as np + +def test_doubletcalc(): + props = UTCConfiguration() + + input_data = DoubletInput( + unknown_input_value=-999.0, + thickness=100.0, + transmissivity=17500.0, + transmissivity_with_ntg=0.0, + ntg=1.0, + depth=2000, + porosity=0.0, + temperature=50.0, + ) + + results = doubletcalc(props, input_data, 600000, 1550, 40) + + assert np.isclose(results.geothermal_powers, 0.027926914290870505, rtol=0.000001) + assert np.isclose(results.cop, 5.396068601571214, rtol=0.000001) + assert np.isclose(results.flowrate, 18.631507399806665, rtol=0.000001) + assert np.isclose(results.pump_power_required, 5.175418689587975, rtol=0.000001) + assert np.isclose(results.production_temp, 41.36211427733413, rtol=0.000001) + assert np.isclose(results.heat_power_produced, 0.027926914290870505, rtol=0.000001) \ No newline at end of file diff --git a/tests/utc/test_well_distance_optimizer.py b/tests/utc/test_well_distance_optimizer.py new file mode 100644 index 0000000..7dbc3f4 --- /dev/null +++ b/tests/utc/test_well_distance_optimizer.py @@ -0,0 +1,23 @@ +from pythermogis.workflow.utc.utc_properties import UTCConfiguration +from pythermogis.workflow.utc.doublet import DoubletInput +from pythermogis.workflow.utc.well_distance import optimize_well_distance + +import numpy as np + +def test_well_distance_optimizer(): + props = UTCConfiguration() + + input_data = DoubletInput( + unknown_input_value=-999.0, + thickness=100.0, + transmissivity=17500.0, + transmissivity_with_ntg=0.0, + ntg=1.0, + depth=2000, + porosity=0.0, + temperature=50.0, + ) + + well_distace = optimize_well_distance(props, input_data, 6000000, 40) + + assert np.isclose(well_distace, 1011.9140625, rtol=0.000001) \ No newline at end of file -- GitLab From aab778823baf7174213aa82ee17c857adeaeb035 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Wed, 26 Nov 2025 10:43:12 +0100 Subject: [PATCH 20/73] changes --- src/pythermogis/workflow/utc/doubletcalc.py | 8 ++++---- tests/utc/test_doubletcalc.py | 12 ++++++------ 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index 0f5ec62..64e4788 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -97,12 +97,12 @@ def doubletcalc( doublet.simulate() return Doublet1DResults( # TODO: check these values. Not sure what conversions should or shouldnt be done - geothermal_powers=doublet.geothermal_power, + geothermal_powers=doublet.geothermal_power * 1e-6, cop=doublet.cop, - flowrate=doublet.volume_flow_pump * 3600, - pump_power_required=doublet.pump_power * 1e-6, + flowrate=-0.5 * (doublet.producer.qvol[7] + doublet.producer.qvol[8]) * 3600, + pump_power_required=doublet.pump_power * 1.0e-3, production_temp=doublet.nodes['prod_top'].temperature, - heat_power_produced=[doublet.geothermal_power] * props.econ_lifetime_years, + heat_power_produced=[doublet.geothermal_power * 1e-6,] * props.econ_lifetime_years, ) def get_total_skin_injection(props, input): diff --git a/tests/utc/test_doubletcalc.py b/tests/utc/test_doubletcalc.py index 841cdd3..3e9e9a8 100644 --- a/tests/utc/test_doubletcalc.py +++ b/tests/utc/test_doubletcalc.py @@ -20,9 +20,9 @@ def test_doubletcalc(): results = doubletcalc(props, input_data, 600000, 1550, 40) - assert np.isclose(results.geothermal_powers, 0.027926914290870505, rtol=0.000001) - assert np.isclose(results.cop, 5.396068601571214, rtol=0.000001) - assert np.isclose(results.flowrate, 18.631507399806665, rtol=0.000001) - assert np.isclose(results.pump_power_required, 5.175418689587975, rtol=0.000001) - assert np.isclose(results.production_temp, 41.36211427733413, rtol=0.000001) - assert np.isclose(results.heat_power_produced, 0.027926914290870505, rtol=0.000001) \ No newline at end of file + assert np.isclose(results.geothermal_powers, 0.027926914290870505, rtol=0.03) + assert np.isclose(results.cop, 5.396068601571214, rtol=0.01) + assert np.isclose(results.flowrate, 18.631507399806665, rtol=0.15) + assert np.isclose(results.pump_power_required, 5.175418689587975, rtol=0.1) + assert np.isclose(results.production_temp, 41.36211427733413, rtol=0.1) + assert np.isclose(results.heat_power_produced[0], 0.027926914290870505, rtol=0.1) \ No newline at end of file -- GitLab From 7bce6728d078eb8fdf9d44e06cd4b08170d148ec Mon Sep 17 00:00:00 2001 From: knappersfy Date: Wed, 26 Nov 2025 12:10:15 +0100 Subject: [PATCH 21/73] doubletcalc works --- src/pythermogis/workflow/utc/doubletcalc.py | 16 ++++++++-------- tests/utc/test_doubletcalc.py | 10 +++++----- 2 files changed, 13 insertions(+), 13 deletions(-) diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index 64e4788..2a9b05d 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -57,7 +57,7 @@ def doubletcalc( pump_pressure=0, pump_depth=0, pump_efficiency=0, - pressure_balance_tolerance=10, + pressure_balance_tolerance=0.1, viscosity_mode=props.viscosity_mode, heat_exchanger_exit_temperature=injection_temp, ) @@ -90,19 +90,19 @@ def doubletcalc( well_distance=well_distance, cooling_fraction=0.1, yearly_operating_hours=props.load_hours, - pressure_balance_tolerance=10, + pressure_balance_tolerance=0.1, viscosity_mode=props.viscosity_mode, heat_exchanger_exit_temperature=injection_temp, ) doublet.simulate() - return Doublet1DResults( # TODO: check these values. Not sure what conversions should or shouldnt be done - geothermal_powers=doublet.geothermal_power * 1e-6, + return Doublet1DResults( + geothermal_powers=doublet.geothermal_power, cop=doublet.cop, - flowrate=-0.5 * (doublet.producer.qvol[7] + doublet.producer.qvol[8]) * 3600, - pump_power_required=doublet.pump_power * 1.0e-3, - production_temp=doublet.nodes['prod_top'].temperature, - heat_power_produced=[doublet.geothermal_power * 1e-6,] * props.econ_lifetime_years, + flowrate=doublet.flowrate, + pump_power_required=doublet.pump_power, + production_temp=doublet.production_temp, + heat_power_produced=[doublet.geothermal_power,] * props.econ_lifetime_years, ) def get_total_skin_injection(props, input): diff --git a/tests/utc/test_doubletcalc.py b/tests/utc/test_doubletcalc.py index 3e9e9a8..770b7d8 100644 --- a/tests/utc/test_doubletcalc.py +++ b/tests/utc/test_doubletcalc.py @@ -20,9 +20,9 @@ def test_doubletcalc(): results = doubletcalc(props, input_data, 600000, 1550, 40) - assert np.isclose(results.geothermal_powers, 0.027926914290870505, rtol=0.03) + assert np.isclose(results.geothermal_powers, 0.027926914290870505, rtol=0.01) assert np.isclose(results.cop, 5.396068601571214, rtol=0.01) - assert np.isclose(results.flowrate, 18.631507399806665, rtol=0.15) - assert np.isclose(results.pump_power_required, 5.175418689587975, rtol=0.1) - assert np.isclose(results.production_temp, 41.36211427733413, rtol=0.1) - assert np.isclose(results.heat_power_produced[0], 0.027926914290870505, rtol=0.1) \ No newline at end of file + assert np.isclose(results.flowrate, 18.631507399806665, rtol=0.01) + assert np.isclose(results.pump_power_required, 5.175418689587975, rtol=0.01) + assert np.isclose(results.production_temp, 41.36211427733413, rtol=0.01) + assert np.isclose(results.heat_power_produced[0], 0.027926914290870505, rtol=0.01) \ No newline at end of file -- GitLab From aedfdd6d9176bcb2ee4e43da42d15ca3f29b1b23 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Wed, 26 Nov 2025 12:14:19 +0100 Subject: [PATCH 22/73] finished --- tests/utc/test_calculate_volumetric_flow.py | 16 ++++++++-------- tests/utc/test_doublet.py | 2 -- tests/utc/test_well_distance_optimizer.py | 4 ++-- 3 files changed, 10 insertions(+), 12 deletions(-) diff --git a/tests/utc/test_calculate_volumetric_flow.py b/tests/utc/test_calculate_volumetric_flow.py index 7753ac1..afed8c7 100644 --- a/tests/utc/test_calculate_volumetric_flow.py +++ b/tests/utc/test_calculate_volumetric_flow.py @@ -20,11 +20,11 @@ def test_calculate_volumetric_flow(): flow_results = calculate_volumetric_flow(props, input_data, 600000, 1550, 40) - assert np.isclose(flow_results.hp_cop, 3.0, rtol=0.000001) - assert np.isclose(flow_results.hp_added_power, 0.0, rtol=0.000001) - assert np.isclose(flow_results.heat_power_per_doublet, 0.027926914290870505, rtol=0.000001) - assert np.isclose(flow_results.cop, 5.396068601571214, rtol=0.000001) - assert np.isclose(flow_results.flowrate, 18.631507399806665, rtol=0.000001) - assert np.isclose(flow_results.pump_power_required, 5.175418689587975, rtol=0.000001) - assert np.isclose(flow_results.production_temp, 41.36211427733413, rtol=0.000001) - assert np.isclose(flow_results.heat_power_produced[0], 0.027926914290870505, rtol=0.000001) \ No newline at end of file + assert np.isclose(flow_results.hp_cop, 3.0, rtol=0.01) + assert np.isclose(flow_results.hp_added_power, 0.0, rtol=0.01) + assert np.isclose(flow_results.heat_power_per_doublet, 0.027926914290870505, rtol=0.01) + assert np.isclose(flow_results.cop, 5.396068601571214, rtol=0.01) + assert np.isclose(flow_results.flowrate, 18.631507399806665, rtol=0.01) + assert np.isclose(flow_results.pump_power_required, 5.175418689587975, rtol=0.01) + assert np.isclose(flow_results.production_temp, 41.36211427733413, rtol=0.01) + assert np.isclose(flow_results.heat_power_produced[0], 0.027926914290870505, rtol=0.01) \ No newline at end of file diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 346d092..8600958 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -26,10 +26,8 @@ def test_calculate_doublet_performance(): # Act result = calculate_doublet_performance(props, input_data) - print(result) # Assert - assert isinstance(result, DoubletOutput) assert np.isclose(result.flow, 227.2757568359375, rtol=1) assert np.isclose(result.pres, 60, rtol=0.001) assert np.isclose(result.utc, 6.616096470753937, rtol=0.001) diff --git a/tests/utc/test_well_distance_optimizer.py b/tests/utc/test_well_distance_optimizer.py index 7dbc3f4..ee8eda2 100644 --- a/tests/utc/test_well_distance_optimizer.py +++ b/tests/utc/test_well_distance_optimizer.py @@ -18,6 +18,6 @@ def test_well_distance_optimizer(): temperature=50.0, ) - well_distace = optimize_well_distance(props, input_data, 6000000, 40) + well_distance = optimize_well_distance(props, input_data, 6000000, 40) - assert np.isclose(well_distace, 1011.9140625, rtol=0.000001) \ No newline at end of file + assert np.isclose(well_distance, 1011.9140625, rtol=0.000001) \ No newline at end of file -- GitLab From 007218242dfbe9dabd29770f5937f1a2fce19422 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Wed, 26 Nov 2025 13:00:32 +0100 Subject: [PATCH 23/73] rtol to atol --- src/pythermogis/workflow/utc/doubletcalc.py | 6 +++--- tests/utc/test_doublet.py | 16 ++++++++-------- 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index 2a9b05d..d83ed55 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -57,7 +57,7 @@ def doubletcalc( pump_pressure=0, pump_depth=0, pump_efficiency=0, - pressure_balance_tolerance=0.1, + pressure_balance_tolerance=0.5, viscosity_mode=props.viscosity_mode, heat_exchanger_exit_temperature=injection_temp, ) @@ -79,7 +79,7 @@ def doubletcalc( pump_pressure=drawdown_pressure, pump_depth=get_pump_production_depth(props, input.depth), pump_efficiency=props.pump_efficiency, - pressure_balance_tolerance=10, + pressure_balance_tolerance=0.5, viscosity_mode=props.viscosity_mode, heat_exchanger_exit_temperature=injection_temp, ) @@ -90,7 +90,7 @@ def doubletcalc( well_distance=well_distance, cooling_fraction=0.1, yearly_operating_hours=props.load_hours, - pressure_balance_tolerance=0.1, + pressure_balance_tolerance=0.5, viscosity_mode=props.viscosity_mode, heat_exchanger_exit_temperature=injection_temp, ) diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 8600958..61eaed3 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -28,14 +28,14 @@ def test_calculate_doublet_performance(): result = calculate_doublet_performance(props, input_data) # Assert - assert np.isclose(result.flow, 227.2757568359375, rtol=1) - assert np.isclose(result.pres, 60, rtol=0.001) - assert np.isclose(result.utc, 6.616096470753937, rtol=0.001) - assert np.isclose(result.welld, 1159.17968, rtol=0.001) - assert np.isclose(result.power, 8.636903762817383, rtol=0.001) - assert np.isclose(result.cop, 13.627557754516602, rtol=0.001) - assert np.isclose(result.var_opex, -7.510325908660889, rtol=0.001) - assert np.isclose(result.fixed_opex, -11.227973937988281, rtol=0.001) + assert np.isclose(result.flow, 227.2757568359375, atol=1.5) + assert np.isclose(result.pres, 60, atol=0.001) + assert np.isclose(result.utc, 6.616096470753937, atol=0.001) + assert np.isclose(result.welld, 1159.17968, atol=0.001) + assert np.isclose(result.power, 8.636903762817383, atol=0.01) + assert np.isclose(result.cop, 13.627557754516602, atol=0.01) + assert np.isclose(result.var_opex, -7.510325908660889, atol=0.01) + assert np.isclose(result.fixed_opex, -11.227973937988281, atol=0.01) -- GitLab From e974f11343406902a05d04a9078a72d60b841abb Mon Sep 17 00:00:00 2001 From: bretth Date: Thu, 27 Nov 2025 10:42:24 +0100 Subject: [PATCH 24/73] Adding pydoublet calc to the project as an editable file --- README.md | 6 ++++++ pixi.lock | 8 ++++---- pyproject.toml | 2 +- tests/utc/test_calculate_volumetric_flow.py | 5 +++-- 4 files changed, 14 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 9153aea..f2585ab 100644 --- a/README.md +++ b/README.md @@ -18,6 +18,12 @@ PyThermoGIS has been designed to be used as a python package you import into you It works by creating a python API access to the ThermoGIS techno-economic application, which is written in Java. Because of this dependency you need to Install a Java 17 VM and store the ThermoGIS Jar (a Java executable file) on your computer: +## Installing pydoubletcalc locally + +```bash + pixi add --editable pydoubletcalc@file:C:path\to\pydoubletcalc --pypi +``` + ### 1. Install Java 17 and Download the ThermoGIS JAR This package requires a Java 17 VM (we recommend using [Amazon Corretto 17](https://docs.aws.amazon.com/corretto/latest/corretto-17-ug/downloads-list.html)) and a [ThermoGIS Jar file](https://ci.tno.nl/gitlab/ags_public/pythermogis/-/blob/main/resources/thermogis_jar/thermogis-1.7.0-shaded.jar?ref_type=heads) (Version >=1.7). diff --git a/pixi.lock b/pixi.lock index f59970b..e7758e9 100644 --- a/pixi.lock +++ b/pixi.lock @@ -266,7 +266,7 @@ environments: - pypi: https://files.pythonhosted.org/packages/d1/a7/5c9cb413e4e2ce52c16be717e94abd40ce91b1f8974624d5d56154c5d40b/shapely-2.1.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl - pypi: https://files.pythonhosted.org/packages/d0/30/dc54f88dd4a2b5dc8a0279bdd7270e735851848b762aeb1c1184ed1f6b14/tqdm-4.67.1-py3-none-any.whl - pypi: ./ - - pypi: C:/Users/knappersfy/work/thermogis/pydoubletcalc + - pypi: C:/work/projects/pydoubletcalc win-64: - conda: https://conda.anaconda.org/conda-forge/win-64/_openmp_mutex-4.5-2_gnu.conda - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda @@ -503,7 +503,7 @@ environments: - pypi: https://files.pythonhosted.org/packages/e3/f0/9f8cdf2258d7aed742459cea51c70d184de92f5d2d6f5f7f1ded90a18c31/shapely-2.1.0-cp313-cp313-win_amd64.whl - pypi: https://files.pythonhosted.org/packages/d0/30/dc54f88dd4a2b5dc8a0279bdd7270e735851848b762aeb1c1184ed1f6b14/tqdm-4.67.1-py3-none-any.whl - pypi: ./ - - pypi: C:/Users/knappersfy/work/thermogis/pydoubletcalc + - pypi: C:/work/projects/pydoubletcalc packages: - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2 sha256: fe51de6107f9edc7aa4f786a70f4a883943bc9d39b3bb7307c04c41410990726 @@ -4762,7 +4762,7 @@ packages: - pkg:pypi/pycparser?source=hash-mapping size: 110100 timestamp: 1733195786147 -- pypi: C:/Users/knappersfy/work/thermogis/pydoubletcalc +- pypi: C:/work/projects/pydoubletcalc name: pydoubletcalc version: 0.0.1 sha256: af6852e94daff598f382da9a04e74eb8649592424d163653d66a833bc140c065 @@ -4943,7 +4943,7 @@ packages: - pypi: ./ name: pythermogis version: 1.2.0 - sha256: f25432777c09250f39cf8019497063cc9860feeb7207723ab5ec7783781125d6 + sha256: 854f508e9aa3672887f5ab062a2aeb06ef019944c70aa0c96a345e478f35e6d9 requires_dist: - jpype1>=1.5.2,<2 - xarray==2024.9.0.* diff --git a/pyproject.toml b/pyproject.toml index be7171d..6e9ab02 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -42,7 +42,7 @@ platforms = ["win-64", "linux-64"] [tool.pixi.pypi-dependencies] pythermogis = { path = ".", editable = true } -pydoubletcalc = { path = 'C:\Users\knappersfy\work\thermogis\pydoubletcalc', editable = true } +pydoubletcalc = { path = 'C:\work\projects\pydoubletcalc', editable = true } [tool.pixi.tasks] test = "PYTHONPATH=src/pythermogis pytest -s tests/" diff --git a/tests/utc/test_calculate_volumetric_flow.py b/tests/utc/test_calculate_volumetric_flow.py index afed8c7..b213437 100644 --- a/tests/utc/test_calculate_volumetric_flow.py +++ b/tests/utc/test_calculate_volumetric_flow.py @@ -1,8 +1,9 @@ -from pythermogis.workflow.utc.utc_properties import UTCConfiguration +import numpy as np + from pythermogis.workflow.utc.doublet import DoubletInput from pythermogis.workflow.utc.flow import calculate_volumetric_flow +from pythermogis.workflow.utc.utc_properties import UTCConfiguration -import numpy as np def test_calculate_volumetric_flow(): props = UTCConfiguration() -- GitLab From ba4462f2efe0b9242d545ed39a12445d4710303d Mon Sep 17 00:00:00 2001 From: bretth Date: Thu, 27 Nov 2025 10:46:46 +0100 Subject: [PATCH 25/73] Some tests fail --- tests/utc/test_properties.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/utc/test_properties.py b/tests/utc/test_properties.py index 074468d..ab98eb1 100644 --- a/tests/utc/test_properties.py +++ b/tests/utc/test_properties.py @@ -11,7 +11,7 @@ def test_utc_configuration_instantiation(): assert cfg.n_threads == 1 assert cfg.is_ates is False assert cfg.scenario == "basecase" - assert cfg.viscosity_mode == "BATZLEWANG" + assert cfg.viscosity_mode == "batzlewang" assert cfg.surface_temperature == 10.0 assert cfg.temp_gradient == 31.0 assert 30.0 in cfg.p_values -- GitLab From 77fee5f84a33626e8b94730e4e39c3e0986a31b8 Mon Sep 17 00:00:00 2001 From: bretth Date: Thu, 27 Nov 2025 10:50:26 +0100 Subject: [PATCH 26/73] Commenting out the pipeline which will fail anyway until pydoubletcalc is a installable dependency --- .gitlab-ci.yml | 80 +++++++++++++++++++++++++------------------------- 1 file changed, 40 insertions(+), 40 deletions(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 89e9221..fd5ed9b 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -1,40 +1,40 @@ -stages: - - test - - deploy - -Run tests: - stage: test - tags: - - docker - image: ghcr.io/prefix-dev/pixi:latest - allow_failure: false - script: - - export TZ=Europe/Amsterdam - - ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone - - apt-get update - - apt-get install -y build-essential gcc tk openjdk-17-jdk - - export JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 - - export PATH=$JAVA_HOME/bin:$PATH - - export THERMOGIS_JAR=$CI_PROJECT_DIR/resources/thermogis_jar/thermogis-1.7.0-shaded.jar - - pixi install - - pixi run pytest -rx tests/ - - rm -rf /var/lib/apt/lists/* - only: - - main - - merge_requests - -pages: - stage: deploy - image: python:latest - script: - - pip install mkdocs mkdocs-material mkdocstrings-python - - mkdocs build --site-dir public - cache: - key: ${CI_COMMIT_REF_SLUG} - paths: - - .cache/ - artifacts: - paths: - - public - rules: - - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH' \ No newline at end of file +#stages: +# - test +# - deploy +# +#Run tests: +# stage: test +# tags: +# - docker +# image: ghcr.io/prefix-dev/pixi:latest +# allow_failure: false +# script: +# - export TZ=Europe/Amsterdam +# - ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone +# - apt-get update +# - apt-get install -y build-essential gcc tk openjdk-17-jdk +# - export JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 +# - export PATH=$JAVA_HOME/bin:$PATH +# - export THERMOGIS_JAR=$CI_PROJECT_DIR/resources/thermogis_jar/thermogis-1.7.0-shaded.jar +# - pixi install +# - pixi run pytest -rx tests/ +# - rm -rf /var/lib/apt/lists/* +# only: +# - main +# - merge_requests +# +#pages: +# stage: deploy +# image: python:latest +# script: +# - pip install mkdocs mkdocs-material mkdocstrings-python +# - mkdocs build --site-dir public +# cache: +# key: ${CI_COMMIT_REF_SLUG} +# paths: +# - .cache/ +# artifacts: +# paths: +# - public +# rules: +# - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH' \ No newline at end of file -- GitLab From fb12cedc5b4a75ecf3acbde1a7e42205f0bc5991 Mon Sep 17 00:00:00 2001 From: bretth Date: Thu, 27 Nov 2025 10:52:49 +0100 Subject: [PATCH 27/73] Changing the rtol on the well_distance optimizer --- tests/utc/test_well_distance_optimizer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/utc/test_well_distance_optimizer.py b/tests/utc/test_well_distance_optimizer.py index ee8eda2..95f2a4f 100644 --- a/tests/utc/test_well_distance_optimizer.py +++ b/tests/utc/test_well_distance_optimizer.py @@ -20,4 +20,4 @@ def test_well_distance_optimizer(): well_distance = optimize_well_distance(props, input_data, 6000000, 40) - assert np.isclose(well_distance, 1011.9140625, rtol=0.000001) \ No newline at end of file + assert np.isclose(well_distance, 1011.9140625, rtol=0.015) \ No newline at end of file -- GitLab From 9be07c358478d331d4d5390eedc5d17628d0ae18 Mon Sep 17 00:00:00 2001 From: bretth Date: Thu, 27 Nov 2025 12:56:14 +0100 Subject: [PATCH 28/73] Adding some timers to profile the performance of the doublet simulation --- src/pythermogis/utils/__init__.py | 0 src/pythermogis/utils/timer.py | 28 +++++++++++++++++++++ src/pythermogis/workflow/utc/doublet.py | 14 +++++++++-- src/pythermogis/workflow/utc/doubletcalc.py | 4 +-- src/pythermogis/workflow/utc/pressure.py | 6 ++++- tests/utc/test_doublet.py | 7 ++++-- tests/utc/test_well_distance_optimizer.py | 5 ++-- 7 files changed, 55 insertions(+), 9 deletions(-) create mode 100644 src/pythermogis/utils/__init__.py create mode 100644 src/pythermogis/utils/timer.py diff --git a/src/pythermogis/utils/__init__.py b/src/pythermogis/utils/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/pythermogis/utils/timer.py b/src/pythermogis/utils/timer.py new file mode 100644 index 0000000..818a092 --- /dev/null +++ b/src/pythermogis/utils/timer.py @@ -0,0 +1,28 @@ +import sys +import timeit + + +def print_time(start, message: str = "", verbose: bool = True): + if not verbose: + return + + time_taken_seconds = timeit.default_timer() - start + time_taken_message = format_time(time_taken_seconds) + print(f"{message}{time_taken_message}", flush=True, file=sys.stdout) + + return timeit.default_timer() + + +def format_time(seconds: float) -> str: + hours = seconds // 3600 + minutes = (seconds % 3600) // 60 + seconds = seconds % 60 + + if hours > 0: + return f"{hours:.0f}h {minutes:.0f}m {seconds:.0f}s" + elif minutes > 0: + return f"{minutes:.0f}m {seconds:.0f}s" + elif seconds > 10: + return f"{seconds:.1f}s" + else: + return f"{seconds:.3f}s" diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index 006a2fe..500948d 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -1,11 +1,12 @@ from dataclasses import dataclass - +import timeit from pythermogis.workflow.utc.utc_properties import UTCConfiguration from pythermogis.workflow.utc.doublet_utils import calculate_injection_temp_with_heat_pump, \ calc_lifetime from pythermogis.workflow.utc.pressure import calculate_max_pressure, optimize_pressure from pythermogis.workflow.utc.cooling_temp import calculate_cooling_temperature from pythermogis.workflow.utc.well_distance import optimize_well_distance +from utils.timer import print_time EUR_PER_CT_PER_KWH = 0.36 NPV_SCALE = 1e-6 @@ -48,11 +49,14 @@ class DoubletOutput: injection_temp: float def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) -> DoubletOutput | None: + timer = timeit.default_timer() well_distance = ( (props.optim_dist_well_dist_min + props.optim_dist_well_dist_max) / 2 if props.optim_well_dist else props.default_well_distance ) + timer = print_time(timer, "\tinitial well distance: ") + injection_temperature = ( max(input.temperature - props.max_cooling_temp_range, @@ -69,8 +73,9 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) props.dh_return_temp, input.temperature, props.max_cooling_temp_range, - props.hp_minimum_injection_temperature + props.hp_minimum_injection_temperature, ) + timer = print_time(timer, "\tinjection temperature: ") drawdown_pressure = calculate_max_pressure( props, @@ -79,6 +84,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) well_distance, injection_temperature, ) + timer = print_time(timer, "\tmax pressure: ") if drawdown_pressure == 0: return None @@ -104,6 +110,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) drawdown_pressure, injection_temperature, ) + timer = print_time(timer, "\twell distance optimizer: ") stimulation_capex = ( 0.0 @@ -119,6 +126,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) injection_temp=injection_temperature, stimulation_capex=stimulation_capex, ) + timer = print_time(timer, "\tpressure optimizer: ") if pressure_results is None: return None @@ -166,6 +174,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) props.optim_dist_cp_rock, props.optim_dist_rho_rock ) + timer = print_time(timer, "\tlifetime calculation:") utc_cutoff = ( props.utc_cutoff_deep if input.depth > props.utc_deep_depth else props.utc_cutoff @@ -180,6 +189,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) ) opex_first_prod_year = total_opex_ts[props.drilling_time] hp_cop = 3.0 + timer = print_time(timer, "\tutc & npv calculation: ") return DoubletOutput( power=heat_power_per_doublet, diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index d83ed55..b3a2a4a 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -50,7 +50,7 @@ def doubletcalc( )], aquifer_top_depth=input.depth, pipe_scaling=0, - target_segment_length=props.segment_length, + # target_segment_length=props.segment_length, outer_diameter=props.outer_diameter * INCH_SI, skin=get_total_skin_injection(props, input), pump_present=False, @@ -72,7 +72,7 @@ def doubletcalc( )], aquifer_top_depth=input.depth, pipe_scaling=0, - target_segment_length=props.segment_length, + # target_segment_length=props.segment_length, outer_diameter=props.outer_diameter * INCH_SI, skin=get_total_skin_production(props, input), pump_present=True, diff --git a/src/pythermogis/workflow/utc/pressure.py b/src/pythermogis/workflow/utc/pressure.py index 2303f67..e58718e 100644 --- a/src/pythermogis/workflow/utc/pressure.py +++ b/src/pythermogis/workflow/utc/pressure.py @@ -1,7 +1,10 @@ +import timeit from dataclasses import dataclass from pythermogis.workflow.utc.flow import calculate_volumetric_flow from pythermogis.workflow.utc.economics import calculate_economics +from utils.timer import print_time + def calculate_max_pressure( props, @@ -10,7 +13,7 @@ def calculate_max_pressure( well_distance: float, injection_temp: float ) -> float: - + start = timeit.default_timer() if use_olsthoorn_max_pressure: max_pres = 0.2 * 0.1 * input_data.depth * 100000 else: @@ -21,6 +24,7 @@ def calculate_max_pressure( results = calculate_volumetric_flow( props, input_data, pres, well_distance, injection_temp ) + print_time(start, "\t\tcalculate volumetric flow: ") if results is None: pres_tol = 1e3 diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 61eaed3..83b65c9 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -1,8 +1,9 @@ import numpy as np - +import timeit +from tqdm import tqdm from pythermogis.workflow.utc.doublet import calculate_doublet_performance, DoubletInput, DoubletOutput from pythermogis.workflow.utc.utc_properties import UTCConfiguration - +from utils.timer import print_time def test_calculate_doublet_performance(): @@ -25,7 +26,9 @@ def test_calculate_doublet_performance(): ) # Act + start = timeit.default_timer() result = calculate_doublet_performance(props, input_data) + print_time(start, "Full Simulation: ") # Assert assert np.isclose(result.flow, 227.2757568359375, atol=1.5) diff --git a/tests/utc/test_well_distance_optimizer.py b/tests/utc/test_well_distance_optimizer.py index 95f2a4f..de79143 100644 --- a/tests/utc/test_well_distance_optimizer.py +++ b/tests/utc/test_well_distance_optimizer.py @@ -1,8 +1,9 @@ -from pythermogis.workflow.utc.utc_properties import UTCConfiguration +import numpy as np + from pythermogis.workflow.utc.doublet import DoubletInput +from pythermogis.workflow.utc.utc_properties import UTCConfiguration from pythermogis.workflow.utc.well_distance import optimize_well_distance -import numpy as np def test_well_distance_optimizer(): props = UTCConfiguration() -- GitLab From e8e5fce2cef68c8121c49034598dacba6d1ba196 Mon Sep 17 00:00:00 2001 From: bretth Date: Thu, 27 Nov 2025 13:37:21 +0100 Subject: [PATCH 29/73] Timeing the various parts of the workflow, it seems to be a function in the instantiation of the doublet that is slowest --- src/pythermogis/workflow/utc/doublet.py | 9 ++------- src/pythermogis/workflow/utc/doubletcalc.py | 12 +++++++----- src/pythermogis/workflow/utc/flow.py | 5 +++-- src/pythermogis/workflow/utc/pressure.py | 2 +- tests/utc/test_doublet.py | 1 - 5 files changed, 13 insertions(+), 16 deletions(-) diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index 500948d..cdba5d3 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -49,13 +49,11 @@ class DoubletOutput: injection_temp: float def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) -> DoubletOutput | None: - timer = timeit.default_timer() well_distance = ( (props.optim_dist_well_dist_min + props.optim_dist_well_dist_max) / 2 if props.optim_well_dist else props.default_well_distance ) - timer = print_time(timer, "\tinitial well distance: ") injection_temperature = ( @@ -75,8 +73,8 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) props.max_cooling_temp_range, props.hp_minimum_injection_temperature, ) - timer = print_time(timer, "\tinjection temperature: ") + timer = timeit.default_timer() drawdown_pressure = calculate_max_pressure( props, input, @@ -110,7 +108,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) drawdown_pressure, injection_temperature, ) - timer = print_time(timer, "\twell distance optimizer: ") + print_time(timer, "\twell distance optimizer: ") stimulation_capex = ( 0.0 @@ -126,7 +124,6 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) injection_temp=injection_temperature, stimulation_capex=stimulation_capex, ) - timer = print_time(timer, "\tpressure optimizer: ") if pressure_results is None: return None @@ -174,7 +171,6 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) props.optim_dist_cp_rock, props.optim_dist_rho_rock ) - timer = print_time(timer, "\tlifetime calculation:") utc_cutoff = ( props.utc_cutoff_deep if input.depth > props.utc_deep_depth else props.utc_cutoff @@ -189,7 +185,6 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) ) opex_first_prod_year = total_opex_ts[props.drilling_time] hp_cop = 3.0 - timer = print_time(timer, "\tutc & npv calculation: ") return DoubletOutput( power=heat_power_per_doublet, diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index b3a2a4a..20e4358 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -1,11 +1,11 @@ import math - +import timeit from dataclasses import dataclass from pythermogis.workflow.utc.utc_properties import UTCConfiguration from pydoubletcalc import Aquifer, Doublet, Well, WellPipeSegment from pythermogis.workflow.utc.water import get_salinity from pythermogis.workflow.utc.rock import get_geothermal_gradient - +from utils.timer import print_time INCH_SI = 0.0254 @@ -25,6 +25,7 @@ def doubletcalc( well_distance: float, injection_temp: float, ) -> Doublet1DResults: + timer = timeit.default_timer() aquifer = Aquifer( permeability=input.permeability, porosity=input.porosity, @@ -50,7 +51,7 @@ def doubletcalc( )], aquifer_top_depth=input.depth, pipe_scaling=0, - # target_segment_length=props.segment_length, + target_segment_length=props.segment_length, outer_diameter=props.outer_diameter * INCH_SI, skin=get_total_skin_injection(props, input), pump_present=False, @@ -72,7 +73,7 @@ def doubletcalc( )], aquifer_top_depth=input.depth, pipe_scaling=0, - # target_segment_length=props.segment_length, + target_segment_length=props.segment_length, outer_diameter=props.outer_diameter * INCH_SI, skin=get_total_skin_production(props, input), pump_present=True, @@ -94,8 +95,9 @@ def doubletcalc( viscosity_mode=props.viscosity_mode, heat_exchanger_exit_temperature=injection_temp, ) + timer = print_time(timer,"\t\t\t\tdoublet instantiation: ") doublet.simulate() - + print_time(timer,"\t\t\t\tdoublet simulation: ") return Doublet1DResults( geothermal_powers=doublet.geothermal_power, cop=doublet.cop, diff --git a/src/pythermogis/workflow/utc/flow.py b/src/pythermogis/workflow/utc/flow.py index 2c5d3a4..1cc9ea7 100644 --- a/src/pythermogis/workflow/utc/flow.py +++ b/src/pythermogis/workflow/utc/flow.py @@ -1,8 +1,10 @@ from dataclasses import dataclass - +import timeit from pythermogis.workflow.utc.heatpump import calculate_heat_pump_performance from pythermogis.workflow.utc.doublet_utils import get_orc_efficiency from pythermogis.workflow.utc.doubletcalc import doubletcalc +from utils.timer import print_time + @dataclass class VolumetricFlowResults: @@ -30,7 +32,6 @@ def calculate_volumetric_flow( d1d_results = None iter_index = 0 - while d1d_results is None and iter_index < len(STEPS): drawdown_pressure = original_pressure + STEPS[iter_index] * BAR_SI diff --git a/src/pythermogis/workflow/utc/pressure.py b/src/pythermogis/workflow/utc/pressure.py index e58718e..963ba9c 100644 --- a/src/pythermogis/workflow/utc/pressure.py +++ b/src/pythermogis/workflow/utc/pressure.py @@ -13,7 +13,6 @@ def calculate_max_pressure( well_distance: float, injection_temp: float ) -> float: - start = timeit.default_timer() if use_olsthoorn_max_pressure: max_pres = 0.2 * 0.1 * input_data.depth * 100000 else: @@ -21,6 +20,7 @@ def calculate_max_pressure( pres = min(props.max_pump * 1e5, max_pres) + start = timeit.default_timer() results = calculate_volumetric_flow( props, input_data, pres, well_distance, injection_temp ) diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 83b65c9..cd13fee 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -1,6 +1,5 @@ import numpy as np import timeit -from tqdm import tqdm from pythermogis.workflow.utc.doublet import calculate_doublet_performance, DoubletInput, DoubletOutput from pythermogis.workflow.utc.utc_properties import UTCConfiguration from utils.timer import print_time -- GitLab From 0ad030a6003075571c15f7a80f32e77b1e377372 Mon Sep 17 00:00:00 2001 From: bretth Date: Thu, 27 Nov 2025 15:57:57 +0100 Subject: [PATCH 30/73] Trying out tests of the simulations --- src/pythermogis/workflow/utc/doublet.py | 3 -- src/pythermogis/workflow/utc/doubletcalc.py | 29 +++++++++++-------- src/pythermogis/workflow/utc/pressure.py | 2 -- .../workflow/utc/utc_properties.py | 2 +- tests/utc/test_doublet.py | 27 ++++++++++------- 5 files changed, 35 insertions(+), 28 deletions(-) diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index cdba5d3..4046b9f 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -74,7 +74,6 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) props.hp_minimum_injection_temperature, ) - timer = timeit.default_timer() drawdown_pressure = calculate_max_pressure( props, input, @@ -82,7 +81,6 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) well_distance, injection_temperature, ) - timer = print_time(timer, "\tmax pressure: ") if drawdown_pressure == 0: return None @@ -108,7 +106,6 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) drawdown_pressure, injection_temperature, ) - print_time(timer, "\twell distance optimizer: ") stimulation_capex = ( 0.0 diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index 20e4358..c2d8f7d 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -39,16 +39,22 @@ def doubletcalc( thermal_conductivity=3, thermal_diffusivity=1.2e-6, ) - injector = Well( aquifer=aquifer, well_type="injector", - pipe_segments=[WellPipeSegment( - ah_depth=get_along_hole_length(input.depth, well_distance, props.well_curv_scaling, props.max_tvd_stepout_factor), - tv_depth=input.depth, - inner_diameter=props.inner_diameter * INCH_SI, - roughness=props.roughness * 1e-3 * INCH_SI - )], + pipe_segments=[ + WellPipeSegment( + ah_depth=get_along_hole_length( + input.depth, + well_distance, + props.well_curv_scaling, + props.max_tvd_stepout_factor, + ), + tv_depth=input.depth, + inner_diameter=props.inner_diameter * INCH_SI, + roughness=props.roughness * 1e-3 * INCH_SI, + ) + ], aquifer_top_depth=input.depth, pipe_scaling=0, target_segment_length=props.segment_length, @@ -95,9 +101,8 @@ def doubletcalc( viscosity_mode=props.viscosity_mode, heat_exchanger_exit_temperature=injection_temp, ) - timer = print_time(timer,"\t\t\t\tdoublet instantiation: ") doublet.simulate() - print_time(timer,"\t\t\t\tdoublet simulation: ") + return Doublet1DResults( geothermal_powers=doublet.geothermal_power, cop=doublet.cop, @@ -132,7 +137,6 @@ def get_along_hole_length( curve_scaling_factor: float, max_true_vertical_depth_stepout_factor: float, ) -> float: - if curve_scaling_factor == 0: # Vertical well: along-hole length equals TVD return true_vertical_depth @@ -145,6 +149,7 @@ def get_along_hole_length( stepout -= horizontal_distance - oblique_distance = math.sqrt(stepout**2 + true_vertical_depth**2) * curve_scaling_factor - + oblique_distance = ( + math.sqrt(stepout**2 + true_vertical_depth**2) * curve_scaling_factor + ) return oblique_distance + horizontal_distance \ No newline at end of file diff --git a/src/pythermogis/workflow/utc/pressure.py b/src/pythermogis/workflow/utc/pressure.py index 963ba9c..088d4cf 100644 --- a/src/pythermogis/workflow/utc/pressure.py +++ b/src/pythermogis/workflow/utc/pressure.py @@ -20,11 +20,9 @@ def calculate_max_pressure( pres = min(props.max_pump * 1e5, max_pres) - start = timeit.default_timer() results = calculate_volumetric_flow( props, input_data, pres, well_distance, injection_temp ) - print_time(start, "\t\tcalculate volumetric flow: ") if results is None: pres_tol = 1e3 diff --git a/src/pythermogis/workflow/utc/utc_properties.py b/src/pythermogis/workflow/utc/utc_properties.py index 1b4da8c..50e6c13 100644 --- a/src/pythermogis/workflow/utc/utc_properties.py +++ b/src/pythermogis/workflow/utc/utc_properties.py @@ -112,7 +112,7 @@ class UTCConfiguration: default_well_distance: float = 1500.0 pump_efficiency: float = 0.6 pump_depth: float = 300.0 - segment_length: float = 50.0 + segment_length: float = 1.0 outer_diameter: float = 8.5 inner_diameter: float = 8.5 roughness: float = 1.38 diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index cd13fee..fad12f7 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -25,19 +25,26 @@ def test_calculate_doublet_performance(): ) # Act - start = timeit.default_timer() result = calculate_doublet_performance(props, input_data) - print_time(start, "Full Simulation: ") + start = timeit.default_timer() + n_sims = 100 + for i in range(n_sims): + result = calculate_doublet_performance(props, input_data) + time_elapsed = timeit.default_timer() - start + print(f"{n_sims} simulations took: {time_elapsed:.1f} seconds\n" + f"{n_sims/time_elapsed:.1f} simulations per second") + # Assert - assert np.isclose(result.flow, 227.2757568359375, atol=1.5) - assert np.isclose(result.pres, 60, atol=0.001) - assert np.isclose(result.utc, 6.616096470753937, atol=0.001) - assert np.isclose(result.welld, 1159.17968, atol=0.001) - assert np.isclose(result.power, 8.636903762817383, atol=0.01) - assert np.isclose(result.cop, 13.627557754516602, atol=0.01) - assert np.isclose(result.var_opex, -7.510325908660889, atol=0.01) - assert np.isclose(result.fixed_opex, -11.227973937988281, atol=0.01) + rtol = 0.005 + assert np.isclose(result.flow, 227.2757568359375, rtol=rtol) + assert np.isclose(result.pres, 60, rtol=rtol) + assert np.isclose(result.utc, 6.616096470753937, rtol=rtol) + assert np.isclose(result.welld, 1159.17968, rtol=rtol) + assert np.isclose(result.power, 8.636903762817383, rtol=rtol) + assert np.isclose(result.cop, 13.627557754516602, rtol=rtol) + assert np.isclose(result.var_opex, -7.510325908660889, rtol=rtol) + assert np.isclose(result.fixed_opex, -11.227973937988281, rtol=rtol) -- GitLab From 7afe7194a4e5c2da734a94535bba74cfcfaec5c7 Mon Sep 17 00:00:00 2001 From: bretth Date: Thu, 27 Nov 2025 16:55:32 +0100 Subject: [PATCH 31/73] Trying out tests of the simulations using the python backend --- src/pythermogis/thermogis_classes/doublet.py | 105 ++++++++++++------ .../workflow/utc/utc_properties.py | 2 +- tests/test_doc_examples.py | 4 +- tests/test_doublet_speed.py | 7 +- tests/utc/test_aquifer.py | 19 ++++ tests/utc/test_doublet.py | 54 ++++++++- 6 files changed, 147 insertions(+), 44 deletions(-) create mode 100644 tests/utc/test_aquifer.py diff --git a/src/pythermogis/thermogis_classes/doublet.py b/src/pythermogis/thermogis_classes/doublet.py index 3360a82..1e7470c 100644 --- a/src/pythermogis/thermogis_classes/doublet.py +++ b/src/pythermogis/thermogis_classes/doublet.py @@ -1,6 +1,10 @@ import numpy as np import xarray as xr from jpype import JClass +from pythermogis.workflow.utc.doublet import calculate_doublet_performance, DoubletInput, DoubletOutput + +from workflow.utc.utc_properties import UTCConfiguration + def simulate_doublet( output_data: xr.Dataset, @@ -102,27 +106,64 @@ def calculate_performance_of_single_location(mask: float, depth: float, thicknes if not np.isnan(mask) or temperature < utc_properties.minProdTemp(): return (mask_value,) * 14 - # Instantiate ThermoGIS doublet - doublet = instantiate_thermogis_doublet(utc_properties, rng_seed) - - DoubletInput = JClass("thermogis.calc.utc.doublet.records.DoubletInput") - input = DoubletInput( - -9999.0, # unknowninput - thickness, - transmissivity, - transmissivity_with_ntg, - ntg, - depth, - porosity, - temperature, - None, # ates input + use_java_backend = True + if use_java_backend: + doublet = instantiate_thermogis_doublet(utc_properties, rng_seed) + JavaDoubletInput = JClass("thermogis.calc.utc.doublet.records.DoubletInput") + input = JavaDoubletInput( + -9999.0, # unknowninput + thickness, + transmissivity, + transmissivity_with_ntg, + ntg, + depth, + porosity, + temperature, + None, # ates input + ) + # The Java routine which calculates DoubletPerformance, for more detail on the + # simulation inspect the Java source code + results_java = doublet.calculateDoubletPerformance(input) + results = DoubletOutput( + results_java.power(), + results_java.hppower(), + results_java.capex(), + 0.0, + 0.0, + results_java.opex(), + results_java.utc(), + results_java.npv(), + results_java.hprod(), + results_java.cop(), + results_java.cophp(), + results_java.pres(), + results_java.flow(), + results_java.welld(), + results_java.breakthrough(), + results_java.cooling(), + results_java.productionTemp(), + results_java.injectionTemp(), ) - - # The Java routine which calculates DoubletPerformance, for more detail on the simulation inspect the Java source code - results = doublet.calculateDoubletPerformance(input) + else: + # Arrange: instantiate default UTCConfiguration + props = UTCConfiguration(segment_length=1) + # Create a minimal valid DoubletInput + input_data = DoubletInput( + unknown_input_value=-999.0, + thickness=thickness, + transmissivity=transmissivity, + transmissivity_with_ntg=transmissivity_with_ntg, + ntg=ntg, + depth=depth, + porosity=porosity, + temperature=temperature, + ) + # Act + #perform one simulation to compile all the numba functions before timing + results = calculate_doublet_performance(props, input_data) # If calculation was not successful, return mask value - if results.utc() == -9999.0: + if results.utc == -9999.0: return (mask_value,) * 14 # calculate net-present-value using the utc-cutoffs @@ -131,24 +172,24 @@ def calculate_performance_of_single_location(mask: float, depth: float, thicknes else: utc_cut = utc_properties.utcCutoff() - hprod = results.hprod() - npv = 1e-6 * (utc_cut - results.utc()) * 3.6 * hprod * (1 - utc_properties.taxRate()) + hprod = results.hprod + npv = 1e-6 * (utc_cut - results.utc) * 3.6 * hprod * (1 - utc_properties.taxRate()) # get values from doublet - output_values = {"power": results.power(), - "heat_pump_power": results.hppower(), - "capex": results.capex(), - "opex": results.opex(), - "utc": results.utc(), + output_values = {"power": results.power, + "heat_pump_power": results.hppower, + "capex": results.capex, + "opex": results.opex, + "utc": results.utc, "npv": npv, "hprod": hprod, - "cop": results.cop(), - "cophp": results.cophp(), - "pres": results.pres(), - "flow_rate": results.flow(), - "welld": results.welld(), - "inj_temp": results.injectionTemp(), - "prd_temp": results.productionTemp(), + "cop": results.cop, + "cophp": results.cophp, + "pres": results.pres, + "flow_rate": results.flow, + "welld": results.welld, + "inj_temp": results.injection_temp, + "prd_temp": results.production_temp, } # Reset doublet variables for next calculation diff --git a/src/pythermogis/workflow/utc/utc_properties.py b/src/pythermogis/workflow/utc/utc_properties.py index 50e6c13..1b4da8c 100644 --- a/src/pythermogis/workflow/utc/utc_properties.py +++ b/src/pythermogis/workflow/utc/utc_properties.py @@ -112,7 +112,7 @@ class UTCConfiguration: default_well_distance: float = 1500.0 pump_efficiency: float = 0.6 pump_depth: float = 300.0 - segment_length: float = 1.0 + segment_length: float = 50.0 outer_diameter: float = 8.5 inner_diameter: float = 8.5 roughness: float = 1.38 diff --git a/tests/test_doc_examples.py b/tests/test_doc_examples.py index faa28fd..23a2b62 100644 --- a/tests/test_doc_examples.py +++ b/tests/test_doc_examples.py @@ -280,7 +280,7 @@ def test_example8(): output_data_path.mkdir(parents=True, exist_ok=True) # generate simulation samples across desired reservoir properties - Nsamples = 100 + Nsamples = 1000 thickness_samples = np.random.uniform(low=150, high=300, size=Nsamples) porosity_samples = np.random.uniform(low=0.5, high=0.8, size=Nsamples) ntg_samples = np.random.uniform(low=0.25, high=0.5, size=Nsamples) @@ -298,7 +298,7 @@ def test_example8(): ) # For every sample, run a doublet simulation store the output values - simulations = calculate_doublet_performance(reservoir_properties, print_execution_duration=True) + simulations = calculate_doublet_performance(reservoir_properties, chunk_size=100, print_execution_duration=True) # post process the samples to calculate the percentiles of each variable percentiles = np.arange(1,99) diff --git a/tests/test_doublet_speed.py b/tests/test_doublet_speed.py index 36be0e5..8ef1161 100644 --- a/tests/test_doublet_speed.py +++ b/tests/test_doublet_speed.py @@ -2,7 +2,7 @@ import shutil from os import path from unittest.case import TestCase -from pygridsio import read_grid, resample_grid +from pygridsio import read_grid, resample_grid, plot_grid from pythermogis import * @@ -27,15 +27,14 @@ class PyThermoGIS(TestCase): non_nan_data = data[~np.isnan(data)] print(f"Running Performance calculation for ROSL_ROSLU, Pvalues: {p_values}, The number of Non Nan Cells: {len(non_nan_data)}") - # Run calculation across all dimensions of input_grids, and all provided P_values: The Equivalent calculation with 10 cores takes 43 seconds in the Java code + # Run calculation across all dimensions of input_grids, and all provided P_values start = timeit.default_timer() calculate_doublet_performance_stochastic(input_grids, chunk_size=100, rng_seed=123, p_values=p_values) time_elapsed = timeit.default_timer() - start print(f"Python calculation took {time_elapsed:.1f} seconds.") - def read_input_grids(self): - new_cellsize=5000 # in m + new_cellsize=20e3 # in m input_grids = resample_grid(read_grid(self.test_files_out_path / "ROSL_ROSLU__thick.zmap"), new_cellsize=new_cellsize).to_dataset(name="thickness_mean") input_grids["thickness_sd"] = resample_grid(read_grid(self.test_files_out_path / "ROSL_ROSLU__thick_sd.zmap"), new_cellsize=new_cellsize) input_grids["ntg"] = resample_grid(read_grid(self.test_files_out_path / "ROSL_ROSLU__ntg.zmap"), new_cellsize=new_cellsize) diff --git a/tests/utc/test_aquifer.py b/tests/utc/test_aquifer.py new file mode 100644 index 0000000..04e14c3 --- /dev/null +++ b/tests/utc/test_aquifer.py @@ -0,0 +1,19 @@ +import numpy as np +from pygridsio import read_grid,resample_grid +from pathlib import Path + +test_files_in_path = Path(__file__).parent.parent / "resources" / "test_input" / "example_data" + +def read_input_grids(): + new_cellsize=1000 # in m + input_grids = resample_grid(read_grid(test_files_in_path / "ROSL_ROSLU__thick.zmap"), new_cellsize=new_cellsize).to_dataset(name="thickness_mean") + input_grids["thickness_sd"] = resample_grid(read_grid(test_files_in_path / "ROSL_ROSLU__thick_sd.zmap"), new_cellsize=new_cellsize) + input_grids["ntg"] = resample_grid(read_grid(test_files_in_path / "ROSL_ROSLU__ntg.zmap"), new_cellsize=new_cellsize) + input_grids["porosity"] = resample_grid(read_grid(test_files_in_path / "ROSL_ROSLU__poro.zmap"), new_cellsize=new_cellsize) / 100 + input_grids["depth"] = resample_grid(read_grid(test_files_in_path / "ROSL_ROSLU__top.zmap"), new_cellsize=new_cellsize) + input_grids["ln_permeability_mean"] = np.log(resample_grid(read_grid(test_files_in_path / "ROSL_ROSLU__perm.zmap"), new_cellsize=new_cellsize)) + input_grids["ln_permeability_sd"] = resample_grid(read_grid(test_files_in_path / "ROSL_ROSLU__ln_perm_sd.zmap"), new_cellsize=new_cellsize) + return input_grids + +def test_pydoubletcalc_on_aquifer(): + input_grids = read_input_grids() diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index fad12f7..58e319f 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -1,15 +1,57 @@ import numpy as np import timeit -from pythermogis.workflow.utc.doublet import calculate_doublet_performance, DoubletInput, DoubletOutput +from pythermogis.workflow.utc.doublet import calculate_doublet_performance, DoubletInput from pythermogis.workflow.utc.utc_properties import UTCConfiguration -from utils.timer import print_time +def test_calculate_doublet_performance_precise(): + # Arrange: instantiate default UTCConfiguration + props = UTCConfiguration( + viscosity_mode="kestin", + dh_return_temp=40, + segment_length=50.0, + ) + + # Create a minimal valid DoubletInput + input_data = DoubletInput( + unknown_input_value=-999.0, + thickness=100.0, + transmissivity=17500.0, + transmissivity_with_ntg=0.0, + ntg=1.0, + depth=2000, + porosity=0.0, + temperature=76.0, + ) + + # Act + # perform one simulation to compile all the numba functions before timing + calculate_doublet_performance(props, input_data) -def test_calculate_doublet_performance(): + start = timeit.default_timer() + result = calculate_doublet_performance(props, input_data) + time_elapsed = timeit.default_timer() - start + + print(f"1 simulation took: {time_elapsed:.1f} seconds\n" + f"{1/time_elapsed:.1f} simulations per second") + + + # Assert + rtol = 0.002 + assert np.isclose(result.flow, 227.2757568359375, rtol=rtol) + assert np.isclose(result.pres, 60, rtol=rtol) + assert np.isclose(result.utc, 6.616096470753937, rtol=rtol) + assert np.isclose(result.welld, 1159.17968, rtol=rtol) + assert np.isclose(result.power, 8.636903762817383, rtol=rtol) + assert np.isclose(result.cop, 13.627557754516602, rtol=rtol) + assert np.isclose(result.var_opex, -7.510325908660889, rtol=rtol) + assert np.isclose(result.fixed_opex, -11.227973937988281, rtol=rtol) + +def test_calculate_doublet_performance_approximate(): # Arrange: instantiate default UTCConfiguration props = UTCConfiguration( viscosity_mode="kestin", dh_return_temp=40, + segment_length=1.0, ) # Create a minimal valid DoubletInput @@ -25,12 +67,15 @@ def test_calculate_doublet_performance(): ) # Act + #perform one simulation to compile all the numba functions before timing result = calculate_doublet_performance(props, input_data) + start = timeit.default_timer() n_sims = 100 - for i in range(n_sims): + for _ in range(n_sims): result = calculate_doublet_performance(props, input_data) time_elapsed = timeit.default_timer() - start + print(f"{n_sims} simulations took: {time_elapsed:.1f} seconds\n" f"{n_sims/time_elapsed:.1f} simulations per second") @@ -47,4 +92,3 @@ def test_calculate_doublet_performance(): assert np.isclose(result.fixed_opex, -11.227973937988281, rtol=rtol) - -- GitLab From 2ebb5e9c8e85c36893362c8f96a2bc7fa3c86b42 Mon Sep 17 00:00:00 2001 From: bretth Date: Fri, 28 Nov 2025 10:31:00 +0100 Subject: [PATCH 32/73] Ensuring the heat pump calculation is the same as the Java code --- src/pythermogis/workflow/utc/doublet.py | 23 ++++++++--------- src/pythermogis/workflow/utc/flow.py | 8 ++++-- src/pythermogis/workflow/utc/heatpump.py | 33 +++++++++++++----------- src/pythermogis/workflow/utc/pressure.py | 3 ++- tests/utc/test_doublet.py | 4 +-- 5 files changed, 39 insertions(+), 32 deletions(-) diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index 4046b9f..e8ffeaf 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -49,22 +49,14 @@ class DoubletOutput: injection_temp: float def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) -> DoubletOutput | None: + # determine initial well distance well_distance = ( (props.optim_dist_well_dist_min + props.optim_dist_well_dist_max) / 2 if props.optim_well_dist else props.default_well_distance ) - - injection_temperature = ( - max(input.temperature - props.max_cooling_temp_range, - props.hp_minimum_injection_temperature) - if props.use_heat_pump - else max(input.temperature - props.max_cooling_temp_range, - props.dh_return_temp) - ) - - if props.use_heat_pump and props.calculate_cop and not props.hp_application_mode: + if props.use_heat_pump: injection_temperature = calculate_injection_temp_with_heat_pump( input.temperature, props.hp_direct_heat_input_temp, @@ -73,7 +65,11 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) props.max_cooling_temp_range, props.hp_minimum_injection_temperature, ) + else: + injection_temperature = max(input.temperature - props.max_cooling_temp_range, + props.dh_return_temp) + # calculate maximum pressure drawdown_pressure = calculate_max_pressure( props, input, @@ -85,6 +81,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) if drawdown_pressure == 0: return None + # cooling temperature and well distance optimization if props.optim_well_dist: end_temperature_p = ( props.optim_dist_cooling_fraction * @@ -107,12 +104,14 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) injection_temperature, ) + # stimulation capex stimulation_capex = ( 0.0 if (not props.use_stimulation or input.transmissivity_with_ntg > props.stim_kh_max) else props.stimulation_capex ) + # pressure optimizer pressure_results = optimize_pressure( props=props, input=input, @@ -125,6 +124,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) if pressure_results is None: return None + # everything underneath here is lightning heat_power_per_doublet = pressure_results.heat_power_per_doublet flowrate = pressure_results.flowrate discounted_heat_produced_p = pressure_results.discounted_heat_produced @@ -181,7 +181,6 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) * (1 - props.tax_rate) ) opex_first_prod_year = total_opex_ts[props.drilling_time] - hp_cop = 3.0 return DoubletOutput( power=heat_power_per_doublet, @@ -194,7 +193,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) npv=npv, hprod=discounted_heat_produced_p, cop=cop, - cophp=hp_cop, + cophp=pressure_results.heat_pump_cop, pres=drawdown_pressure / 1e5, flow=flowrate, welld=well_distance, diff --git a/src/pythermogis/workflow/utc/flow.py b/src/pythermogis/workflow/utc/flow.py index 1cc9ea7..46e77b2 100644 --- a/src/pythermogis/workflow/utc/flow.py +++ b/src/pythermogis/workflow/utc/flow.py @@ -10,6 +10,7 @@ from utils.timer import print_time class VolumetricFlowResults: hp_cop: float hp_added_power: float + hp_elec_consumption: float heat_power_per_doublet: float cop: float flowrate: float @@ -27,8 +28,10 @@ def calculate_volumetric_flow( ): STEPS = [0, 1, -1, 2, -2, 3, -3, 4, -4, 5, -5, 6, -6] BAR_SI = 1e5 # Units.BAR_SI - hp_cop = 3.0 + + hp_cop = 0.0 hp_added_power = 0.0 + hp_elec_consumption = 0.0 d1d_results = None iter_index = 0 @@ -90,13 +93,14 @@ def calculate_volumetric_flow( injection_temp, flowrate ) - hp_cop = hp_results.hp_cop hp_added_power = hp_results.hp_added_power + hp_elec_consumption = hp_results.hp_elec_consumption return VolumetricFlowResults( hp_cop, hp_added_power, + hp_elec_consumption, heat_power_per_doublet, cop, flowrate, diff --git a/src/pythermogis/workflow/utc/heatpump.py b/src/pythermogis/workflow/utc/heatpump.py index 7e1b6b1..1043160 100644 --- a/src/pythermogis/workflow/utc/heatpump.py +++ b/src/pythermogis/workflow/utc/heatpump.py @@ -7,6 +7,7 @@ from pythermogis.workflow.utc.water import get_hydrostatic_pressure, get_salinit class HeatPumpPerformanceResults: hp_cop: float hp_added_power: float + hp_elec_consumption: float def calculate_heat_pump_performance( @@ -35,28 +36,31 @@ def calculate_heat_pump_performance( hydrostatic_pressure, props.surface_temperature, salinity ) - cp_water = heat_capacity( - hydrostatic_pressure, props.surface_temperature, salinity - ) - - if props.hp_calc_cop: - Tout = props.hp_direct_heat_input_temp - Tin = min(injection_temp, props.dh_return_temp) - hp_cop = get_cop_carnot(ETA_CARNOT, Tout, Tin) - else: - hp_cop = props.hp_capex + cp_water = heat_capacity(hydrostatic_pressure, props.surface_temperature, salinity) + # calculate the power used by the heat pump waste_temp = min(heat_pump_start_temp, props.dh_return_temp) delta_temp = max(0.0, waste_temp - injection_temp) - hp_added_power = (flowrate / 3600.0) * delta_temp * rho_water * cp_water * 1e-6 - if hp_added_power == 0: - hp_cop = 0.0 + return HeatPumpPerformanceResults( + hp_cop=0, + hp_added_power=0, + hp_elec_consumption=0, + ) + + # calculate heat pump coefficient of performance + Tout = props.hp_direct_heat_input_temp + Tin = min(injection_temp, props.dh_return_temp) + hp_cop = get_cop_carnot(ETA_CARNOT, Tout, Tin) + + # calculate hp_elec_consumption + hp_elec_consumption = hp_added_power / (hp_cop -1) return HeatPumpPerformanceResults( hp_cop=hp_cop, hp_added_power=hp_added_power, + hp_elec_consumption=hp_elec_consumption ) @@ -64,11 +68,10 @@ def calculate_heat_pump_start_temp(props, production_temp: float, injection_temp """ Python version of calculateHeatPumpStartTemp(...) """ - delta_temp_geothermal = production_temp - injection_temp delta_temp_for_hex = 0.0 - if props.hp_application_mode and production_temp > props.dh_return_temp: + if production_temp > props.dh_return_temp: delta_temp_for_hex = production_temp - props.dh_return_temp delta_temp_for_hex = max(0.0, min(delta_temp_for_hex, delta_temp_geothermal)) diff --git a/src/pythermogis/workflow/utc/pressure.py b/src/pythermogis/workflow/utc/pressure.py index 088d4cf..27d258c 100644 --- a/src/pythermogis/workflow/utc/pressure.py +++ b/src/pythermogis/workflow/utc/pressure.py @@ -74,6 +74,7 @@ class PressureOptimizerResults: drawdown_pressure: float flowrate: float heat_power_per_doublet: float + heat_pump_cop: float cop: float utc: float sum_capex: float @@ -106,7 +107,6 @@ def optimize_pressure( if flow_results is None: return None - if flow_results.production_temp > injection_temp: iter_count = 0 @@ -222,6 +222,7 @@ def optimize_pressure( drawdown_pressure=drawdown_pressure, flowrate=flow_results.flowrate, heat_power_per_doublet=flow_results.heat_power_per_doublet, + heat_pump_cop=flow_results.hp_cop, cop=cop, utc=econ.utc.utc, sum_capex=econ.capex.sum_capex, diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 58e319f..0ac740f 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -36,7 +36,7 @@ def test_calculate_doublet_performance_precise(): # Assert - rtol = 0.002 + rtol = 0.002 # accurate to 0.2% assert np.isclose(result.flow, 227.2757568359375, rtol=rtol) assert np.isclose(result.pres, 60, rtol=rtol) assert np.isclose(result.utc, 6.616096470753937, rtol=rtol) @@ -81,7 +81,7 @@ def test_calculate_doublet_performance_approximate(): # Assert - rtol = 0.005 + rtol = 0.005 # accurate to 0.5% assert np.isclose(result.flow, 227.2757568359375, rtol=rtol) assert np.isclose(result.pres, 60, rtol=rtol) assert np.isclose(result.utc, 6.616096470753937, rtol=rtol) -- GitLab From 7a3b264ac2250857852bbed4ef56201bd70f4689 Mon Sep 17 00:00:00 2001 From: bretth Date: Fri, 28 Nov 2025 10:58:41 +0100 Subject: [PATCH 33/73] Trying some speedups, the well distance optimizer appears to be where it is slowed down --- src/pythermogis/workflow/utc/doublet.py | 11 +++++- src/pythermogis/workflow/utc/doublet_utils.py | 4 +- src/pythermogis/workflow/utc/doubletcalc.py | 4 +- src/pythermogis/workflow/utc/flow.py | 1 - src/pythermogis/workflow/utc/pressure.py | 39 ++++++++----------- src/pythermogis/workflow/utc/well_distance.py | 17 ++++---- tests/utc/test_doublet.py | 2 +- 7 files changed, 38 insertions(+), 40 deletions(-) diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index e8ffeaf..0dff47f 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -48,7 +48,8 @@ class DoubletOutput: production_temp: float injection_temp: float -def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) -> DoubletOutput | None: +def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput, verbose: bool = False) -> DoubletOutput | None: + timer = timeit.default_timer() # determine initial well distance well_distance = ( (props.optim_dist_well_dist_min + props.optim_dist_well_dist_max) / 2 @@ -56,6 +57,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) else props.default_well_distance ) + # determine injection temperature if props.use_heat_pump: injection_temperature = calculate_injection_temp_with_heat_pump( input.temperature, @@ -68,6 +70,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) else: injection_temperature = max(input.temperature - props.max_cooling_temp_range, props.dh_return_temp) + timer = print_time(timer, "injection temperature: ", verbose=verbose) # calculate maximum pressure drawdown_pressure = calculate_max_pressure( @@ -80,6 +83,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) if drawdown_pressure == 0: return None + timer = print_time(timer, "maximum pressure: ", verbose=verbose) # cooling temperature and well distance optimization if props.optim_well_dist: @@ -95,6 +99,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) well_distance, injection_temperature, ) + timer = print_time(timer, "cooling temperature: ", verbose=verbose) if props.optim_well_dist: well_distance = optimize_well_distance( @@ -103,6 +108,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) drawdown_pressure, injection_temperature, ) + timer = print_time(timer, "well distance optimizer: ", verbose=verbose) # stimulation capex stimulation_capex = ( @@ -120,7 +126,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) injection_temp=injection_temperature, stimulation_capex=stimulation_capex, ) - + timer = print_time(timer, "pressure optimizer: ", verbose=verbose) if pressure_results is None: return None @@ -181,6 +187,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput) * (1 - props.tax_rate) ) opex_first_prod_year = total_opex_ts[props.drilling_time] + timer = print_time(timer, "economics: ", verbose=verbose) return DoubletOutput( power=heat_power_per_doublet, diff --git a/src/pythermogis/workflow/utc/doublet_utils.py b/src/pythermogis/workflow/utc/doublet_utils.py index 7eba85a..12ac94c 100644 --- a/src/pythermogis/workflow/utc/doublet_utils.py +++ b/src/pythermogis/workflow/utc/doublet_utils.py @@ -59,7 +59,7 @@ def get_cop_carnot(eta: float, Tout: float, Tin: float) -> float: return eta * (Tcond + TKELVIN) / (Tcond - Tevap) - +@njit def calc_lifetime( well_distance: float, thickness: float, @@ -113,7 +113,7 @@ def calc_lifetime( return Eseg / Eflowseg - +@njit def get_along_hole_length( true_vertical_depth: float, well_distance: float, diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index c2d8f7d..43cbdec 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -6,7 +6,7 @@ from pydoubletcalc import Aquifer, Doublet, Well, WellPipeSegment from pythermogis.workflow.utc.water import get_salinity from pythermogis.workflow.utc.rock import get_geothermal_gradient from utils.timer import print_time - +from numba import njit INCH_SI = 0.0254 @dataclass @@ -25,7 +25,6 @@ def doubletcalc( well_distance: float, injection_temp: float, ) -> Doublet1DResults: - timer = timeit.default_timer() aquifer = Aquifer( permeability=input.permeability, porosity=input.porosity, @@ -131,6 +130,7 @@ def get_total_skin_production(props, input): def get_pump_production_depth(props, depth: float) -> float: return min(props.pump_depth, depth / 2) +@njit def get_along_hole_length( true_vertical_depth: float, well_distance: float, diff --git a/src/pythermogis/workflow/utc/flow.py b/src/pythermogis/workflow/utc/flow.py index 46e77b2..ea7be88 100644 --- a/src/pythermogis/workflow/utc/flow.py +++ b/src/pythermogis/workflow/utc/flow.py @@ -28,7 +28,6 @@ def calculate_volumetric_flow( ): STEPS = [0, 1, -1, 2, -2, 3, -3, 4, -4, 5, -5, 6, -6] BAR_SI = 1e5 # Units.BAR_SI - hp_cop = 0.0 hp_added_power = 0.0 hp_elec_consumption = 0.0 diff --git a/src/pythermogis/workflow/utc/pressure.py b/src/pythermogis/workflow/utc/pressure.py index 27d258c..0e3ba48 100644 --- a/src/pythermogis/workflow/utc/pressure.py +++ b/src/pythermogis/workflow/utc/pressure.py @@ -18,10 +18,10 @@ def calculate_max_pressure( else: max_pres = input_data.depth * (0.135 - props.hy_gradient) * 100000 - pres = min(props.max_pump * 1e5, max_pres) + pressure = min(props.max_pump * 1e5, max_pres) results = calculate_volumetric_flow( - props, input_data, pres, well_distance, injection_temp + props, input_data, pressure, well_distance, injection_temp ) if results is None: @@ -29,45 +29,45 @@ def calculate_max_pressure( iter_count = 0 pres_min = 1e5 - pres_max = pres + pres_max = pressure while iter_count < 1000 and abs(pres_max - pres_min) > pres_tol: iter_count += 1 - pres = 0.5 * (pres_min + pres_max) + pressure = 0.5 * (pres_min + pres_max) results = calculate_volumetric_flow( - props, input_data, pres, well_distance, injection_temp + props, input_data, pressure, well_distance, injection_temp ) if results is not None: - pres_min = pres + pres_min = pressure else: - pres_max = pres + pres_max = pressure if results is None: - pres -= pres_tol + pressure -= pres_tol results = calculate_volumetric_flow( - props, input_data, pres, well_distance, injection_temp + props, input_data, pressure, well_distance, injection_temp ) if results is None or iter_count >= 1000: return 0.0 - return pres + return pressure if results.heat_power_per_doublet < 0 and not props.is_ates: - pres /= 2.0 + pressure /= 2.0 results = calculate_volumetric_flow( - props, input_data, pres, well_distance, injection_temp + props, input_data, pressure, well_distance, injection_temp ) if results.heatPowerPerDoublet() < 0: return 0.0 else: - pres *= 2.0 + pressure *= 2.0 - return pres + return pressure @dataclass class PressureOptimizerResults: @@ -192,16 +192,9 @@ def optimize_pressure( return None - hp_added_power = flow_results.hp_added_power - if hp_added_power > 0: - hp_elec_consumption = hp_added_power / (flow_results.hp_cop - 1.0) - else: - hp_elec_consumption = 0.0 - - cop = ( - (flow_results.heat_power_per_doublet + hp_elec_consumption) / - (flow_results.heat_power_per_doublet / flow_results.cop + hp_elec_consumption) + (flow_results.heat_power_per_doublet + flow_results.hp_elec_consumption) / + (flow_results.heat_power_per_doublet / flow_results.cop + flow_results.hp_elec_consumption) ) econ = calculate_economics( diff --git a/src/pythermogis/workflow/utc/well_distance.py b/src/pythermogis/workflow/utc/well_distance.py index 01249f6..2fa34e1 100644 --- a/src/pythermogis/workflow/utc/well_distance.py +++ b/src/pythermogis/workflow/utc/well_distance.py @@ -1,7 +1,6 @@ from pythermogis.workflow.utc.doublet_utils import calc_lifetime from pythermogis.workflow.utc.flow import calculate_volumetric_flow - def optimize_well_distance( props, input, @@ -11,20 +10,20 @@ def optimize_well_distance( dist_min = props.optim_dist_well_dist_min dist_max = props.optim_dist_well_dist_max - dist = 0.5 * (dist_min + dist_max) + well_distance = 0.5 * (dist_min + dist_max) for iter_count in range(1000): if abs(dist_max - dist_min) <= 10.0: break - dist = 0.5 * (dist_min + dist_max) + well_distance = 0.5 * (dist_min + dist_max) # --- Compute flow for this distance --- results = calculate_volumetric_flow( props=props, input_data=input, original_pressure=drawdown_pressure, - well_distance=dist, + well_distance=well_distance, injection_temp=injection_temp, ) @@ -32,7 +31,7 @@ def optimize_well_distance( # --- Compute lifetime for this distance --- lifetime = calc_lifetime( - well_distance=dist, + well_distance=well_distance, thickness=input.thickness * input.ntg, delta_temp_fraction=props.optim_dist_cooling_fraction, porosity=input.porosity, @@ -47,12 +46,12 @@ def optimize_well_distance( # --- Bisection rule --- if lifetime < props.optim_dist_lifetime: - dist_min = dist + dist_min = well_distance else: - dist_max = dist + dist_max = well_distance # If no convergence in 1000 iterations else: - print(f"WARNING: Well distance optimization failed to converge. Final dist={dist}") + print(f"WARNING: Well distance optimization failed to converge. Final dist={well_distance}") - return dist + return well_distance diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 0ac740f..00263d2 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -28,7 +28,7 @@ def test_calculate_doublet_performance_precise(): calculate_doublet_performance(props, input_data) start = timeit.default_timer() - result = calculate_doublet_performance(props, input_data) + result = calculate_doublet_performance(props, input_data, verbose=True) time_elapsed = timeit.default_timer() - start print(f"1 simulation took: {time_elapsed:.1f} seconds\n" -- GitLab From ccc89336cec77648b019b27abb38909108d7faaa Mon Sep 17 00:00:00 2001 From: bretth Date: Fri, 28 Nov 2025 12:57:01 +0100 Subject: [PATCH 34/73] Trying some speedups, the well distance optimizer appears to be where it is slowed down --- src/pythermogis/thermogis_classes/doublet.py | 4 ++-- src/pythermogis/workflow/utc/doubletcalc.py | 5 ++++- src/pythermogis/workflow/utc/well_distance.py | 12 ++++++------ tests/test_doublet_speed.py | 4 ++-- 4 files changed, 14 insertions(+), 11 deletions(-) diff --git a/src/pythermogis/thermogis_classes/doublet.py b/src/pythermogis/thermogis_classes/doublet.py index 1e7470c..0134eea 100644 --- a/src/pythermogis/thermogis_classes/doublet.py +++ b/src/pythermogis/thermogis_classes/doublet.py @@ -106,7 +106,7 @@ def calculate_performance_of_single_location(mask: float, depth: float, thicknes if not np.isnan(mask) or temperature < utc_properties.minProdTemp(): return (mask_value,) * 14 - use_java_backend = True + use_java_backend = False if use_java_backend: doublet = instantiate_thermogis_doublet(utc_properties, rng_seed) JavaDoubletInput = JClass("thermogis.calc.utc.doublet.records.DoubletInput") @@ -149,7 +149,7 @@ def calculate_performance_of_single_location(mask: float, depth: float, thicknes props = UTCConfiguration(segment_length=1) # Create a minimal valid DoubletInput input_data = DoubletInput( - unknown_input_value=-999.0, + unknown_input_value=-9999.0, thickness=thickness, transmissivity=transmissivity, transmissivity_with_ntg=transmissivity_with_ntg, diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index 43cbdec..ecf0421 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -24,7 +24,7 @@ def doubletcalc( drawdown_pressure: float, well_distance: float, injection_temp: float, -) -> Doublet1DResults: +) -> Doublet1DResults | None: aquifer = Aquifer( permeability=input.permeability, porosity=input.porosity, @@ -102,6 +102,9 @@ def doubletcalc( ) doublet.simulate() + if not doublet.simulation_success: + return None + return Doublet1DResults( geothermal_powers=doublet.geothermal_power, cop=doublet.cop, diff --git a/src/pythermogis/workflow/utc/well_distance.py b/src/pythermogis/workflow/utc/well_distance.py index 2fa34e1..aa6368d 100644 --- a/src/pythermogis/workflow/utc/well_distance.py +++ b/src/pythermogis/workflow/utc/well_distance.py @@ -1,3 +1,5 @@ +import numpy as np + from pythermogis.workflow.utc.doublet_utils import calc_lifetime from pythermogis.workflow.utc.flow import calculate_volumetric_flow @@ -10,13 +12,13 @@ def optimize_well_distance( dist_min = props.optim_dist_well_dist_min dist_max = props.optim_dist_well_dist_max - well_distance = 0.5 * (dist_min + dist_max) + well_distance = np.mean([dist_min, dist_max]) for iter_count in range(1000): if abs(dist_max - dist_min) <= 10.0: - break + return well_distance - well_distance = 0.5 * (dist_min + dist_max) + well_distance = np.mean([dist_min, dist_max]) # --- Compute flow for this distance --- results = calculate_volumetric_flow( @@ -27,15 +29,13 @@ def optimize_well_distance( injection_temp=injection_temp, ) - flowrate = min(results.flowrate, props.max_flow) - # --- Compute lifetime for this distance --- lifetime = calc_lifetime( well_distance=well_distance, thickness=input.thickness * input.ntg, delta_temp_fraction=props.optim_dist_cooling_fraction, porosity=input.porosity, - flowrate=flowrate, + flowrate=min(results.flowrate, props.max_flow), depth=input.depth, reservoir_temp=input.temperature, salinity_surface=props.salinity_surface, diff --git a/tests/test_doublet_speed.py b/tests/test_doublet_speed.py index 8ef1161..a8eba6b 100644 --- a/tests/test_doublet_speed.py +++ b/tests/test_doublet_speed.py @@ -2,7 +2,7 @@ import shutil from os import path from unittest.case import TestCase -from pygridsio import read_grid, resample_grid, plot_grid +from pygridsio import read_grid, resample_grid from pythermogis import * @@ -34,7 +34,7 @@ class PyThermoGIS(TestCase): print(f"Python calculation took {time_elapsed:.1f} seconds.") def read_input_grids(self): - new_cellsize=20e3 # in m + new_cellsize=5e3 # in m input_grids = resample_grid(read_grid(self.test_files_out_path / "ROSL_ROSLU__thick.zmap"), new_cellsize=new_cellsize).to_dataset(name="thickness_mean") input_grids["thickness_sd"] = resample_grid(read_grid(self.test_files_out_path / "ROSL_ROSLU__thick_sd.zmap"), new_cellsize=new_cellsize) input_grids["ntg"] = resample_grid(read_grid(self.test_files_out_path / "ROSL_ROSLU__ntg.zmap"), new_cellsize=new_cellsize) -- GitLab From 58119407a69a2684901c6983292633be7cc4248d Mon Sep 17 00:00:00 2001 From: bretth Date: Mon, 1 Dec 2025 09:57:06 +0100 Subject: [PATCH 35/73] Assessing the speedup due to parallelization --- tests/test_dask_parralelization.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/tests/test_dask_parralelization.py b/tests/test_dask_parralelization.py index 9573cf8..4c42ce2 100644 --- a/tests/test_dask_parralelization.py +++ b/tests/test_dask_parralelization.py @@ -2,15 +2,17 @@ from os import path from pathlib import Path import numpy as np +import pytest import xarray as xr from pythermogis import auto_chunk_dataset, assess_optimal_chunk_size +@pytest.mark.skip("Useful for making a plot, but not needed for pipeline testing") def test_dask_parralelization(): output_data_path = Path(path.dirname(__file__), "resources") / "test_output" / "parallelization" output_data_path.mkdir(parents=True, exist_ok=True) - assess_optimal_chunk_size(n_simulations = 100, chunk_step_size=50, plot_outfile = output_data_path / "parallelization.png") + assess_optimal_chunk_size(n_simulations = 1000, chunk_step_size=100, plot_outfile = output_data_path / "parallelization.png") assert output_data_path.exists() -- GitLab From fbb6e3a26b5713a090325f6042a426b308a4f8eb Mon Sep 17 00:00:00 2001 From: bretth Date: Mon, 1 Dec 2025 10:03:44 +0100 Subject: [PATCH 36/73] Changing the expected value of hp_cop for the volumetric flow test following the heat pump refactor --- src/pythermogis/workflow/utc/well_distance.py | 1 - tests/utc/test_aquifer.py | 19 ------------------- tests/utc/test_calculate_volumetric_flow.py | 2 +- 3 files changed, 1 insertion(+), 21 deletions(-) delete mode 100644 tests/utc/test_aquifer.py diff --git a/src/pythermogis/workflow/utc/well_distance.py b/src/pythermogis/workflow/utc/well_distance.py index aa6368d..22d33ca 100644 --- a/src/pythermogis/workflow/utc/well_distance.py +++ b/src/pythermogis/workflow/utc/well_distance.py @@ -49,7 +49,6 @@ def optimize_well_distance( dist_min = well_distance else: dist_max = well_distance - # If no convergence in 1000 iterations else: print(f"WARNING: Well distance optimization failed to converge. Final dist={well_distance}") diff --git a/tests/utc/test_aquifer.py b/tests/utc/test_aquifer.py deleted file mode 100644 index 04e14c3..0000000 --- a/tests/utc/test_aquifer.py +++ /dev/null @@ -1,19 +0,0 @@ -import numpy as np -from pygridsio import read_grid,resample_grid -from pathlib import Path - -test_files_in_path = Path(__file__).parent.parent / "resources" / "test_input" / "example_data" - -def read_input_grids(): - new_cellsize=1000 # in m - input_grids = resample_grid(read_grid(test_files_in_path / "ROSL_ROSLU__thick.zmap"), new_cellsize=new_cellsize).to_dataset(name="thickness_mean") - input_grids["thickness_sd"] = resample_grid(read_grid(test_files_in_path / "ROSL_ROSLU__thick_sd.zmap"), new_cellsize=new_cellsize) - input_grids["ntg"] = resample_grid(read_grid(test_files_in_path / "ROSL_ROSLU__ntg.zmap"), new_cellsize=new_cellsize) - input_grids["porosity"] = resample_grid(read_grid(test_files_in_path / "ROSL_ROSLU__poro.zmap"), new_cellsize=new_cellsize) / 100 - input_grids["depth"] = resample_grid(read_grid(test_files_in_path / "ROSL_ROSLU__top.zmap"), new_cellsize=new_cellsize) - input_grids["ln_permeability_mean"] = np.log(resample_grid(read_grid(test_files_in_path / "ROSL_ROSLU__perm.zmap"), new_cellsize=new_cellsize)) - input_grids["ln_permeability_sd"] = resample_grid(read_grid(test_files_in_path / "ROSL_ROSLU__ln_perm_sd.zmap"), new_cellsize=new_cellsize) - return input_grids - -def test_pydoubletcalc_on_aquifer(): - input_grids = read_input_grids() diff --git a/tests/utc/test_calculate_volumetric_flow.py b/tests/utc/test_calculate_volumetric_flow.py index b213437..a6b93e3 100644 --- a/tests/utc/test_calculate_volumetric_flow.py +++ b/tests/utc/test_calculate_volumetric_flow.py @@ -21,7 +21,7 @@ def test_calculate_volumetric_flow(): flow_results = calculate_volumetric_flow(props, input_data, 600000, 1550, 40) - assert np.isclose(flow_results.hp_cop, 3.0, rtol=0.01) + assert np.isclose(flow_results.hp_cop, 0.0, rtol=0.01) assert np.isclose(flow_results.hp_added_power, 0.0, rtol=0.01) assert np.isclose(flow_results.heat_power_per_doublet, 0.027926914290870505, rtol=0.01) assert np.isclose(flow_results.cop, 5.396068601571214, rtol=0.01) -- GitLab From d8add855affdfdb8b184fdd12d0265701e34d86d Mon Sep 17 00:00:00 2001 From: bretth Date: Mon, 1 Dec 2025 10:22:54 +0100 Subject: [PATCH 37/73] Changing the default back to using the java backend --- src/pythermogis/thermogis_classes/doublet.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/pythermogis/thermogis_classes/doublet.py b/src/pythermogis/thermogis_classes/doublet.py index 0134eea..248ab95 100644 --- a/src/pythermogis/thermogis_classes/doublet.py +++ b/src/pythermogis/thermogis_classes/doublet.py @@ -106,7 +106,7 @@ def calculate_performance_of_single_location(mask: float, depth: float, thicknes if not np.isnan(mask) or temperature < utc_properties.minProdTemp(): return (mask_value,) * 14 - use_java_backend = False + use_java_backend = True if use_java_backend: doublet = instantiate_thermogis_doublet(utc_properties, rng_seed) JavaDoubletInput = JClass("thermogis.calc.utc.doublet.records.DoubletInput") -- GitLab From 852784e57ff14bcbd96eef0201c9a1f4b38cf087 Mon Sep 17 00:00:00 2001 From: bretth Date: Mon, 1 Dec 2025 10:32:33 +0100 Subject: [PATCH 38/73] Changing the default back to using the java backend for the tests --- tests/test_dask_parralelization.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_dask_parralelization.py b/tests/test_dask_parralelization.py index 4c42ce2..138d424 100644 --- a/tests/test_dask_parralelization.py +++ b/tests/test_dask_parralelization.py @@ -7,12 +7,12 @@ import xarray as xr from pythermogis import auto_chunk_dataset, assess_optimal_chunk_size -@pytest.mark.skip("Useful for making a plot, but not needed for pipeline testing") +# @pytest.mark.skip("Useful for making a plot, but not needed for pipeline testing") def test_dask_parralelization(): output_data_path = Path(path.dirname(__file__), "resources") / "test_output" / "parallelization" output_data_path.mkdir(parents=True, exist_ok=True) - assess_optimal_chunk_size(n_simulations = 1000, chunk_step_size=100, plot_outfile = output_data_path / "parallelization.png") + assess_optimal_chunk_size(n_simulations = 100, chunk_step_size=10, plot_outfile = output_data_path / "parallelization.png") assert output_data_path.exists() -- GitLab From 91f3490fedf5aa6c57f3e76ea3ff09cacba12132 Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 2 Dec 2025 10:59:42 +0100 Subject: [PATCH 39/73] Updating the README.md --- README.md | 15 +++++++++++++++ pixi.lock | 2 +- 2 files changed, 16 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index f2585ab..32e887b 100644 --- a/README.md +++ b/README.md @@ -18,6 +18,21 @@ PyThermoGIS has been designed to be used as a python package you import into you It works by creating a python API access to the ThermoGIS techno-economic application, which is written in Java. Because of this dependency you need to Install a Java 17 VM and store the ThermoGIS Jar (a Java executable file) on your computer: +## Installing pydoubletcalc + +[pydoubletcalc](https://ci.tno.nl/gitlab/AGS/Geothermal/thermogis/pydoubletcalc) is the python backend we are writing to replace the java backend for pythermogis. + +It is not yet public, until then you can install the latest version of the code using the following command: + +```bash +pixi run pip install pydoubletcalc --index-url https://token_name:token_password@ci.tno.nl/gitlab/api/v4/projects/19719/packages/pypi/simple +``` +replace token_name and token_password with the credentials from a Personal Access Token, with read access. +(If you don't have a PAT then: Login to gitlab > preferences > Access Tokens) + +To update pydoubletcalc you will first need to uninstall it and then reinstall using the above method. + + ## Installing pydoubletcalc locally ```bash diff --git a/pixi.lock b/pixi.lock index e7758e9..48c5d91 100644 --- a/pixi.lock +++ b/pixi.lock @@ -4765,7 +4765,7 @@ packages: - pypi: C:/work/projects/pydoubletcalc name: pydoubletcalc version: 0.0.1 - sha256: af6852e94daff598f382da9a04e74eb8649592424d163653d66a833bc140c065 + sha256: 1b87a6c98d8a21914c58ea91edf0a8a2d4b833b55a4fd1f82147e06b3eb9d6c3 requires_dist: - pandas - matplotlib -- GitLab From 6d47174371c6bc043d9a06af1118be337c190038 Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 2 Dec 2025 13:22:07 +0100 Subject: [PATCH 40/73] Testing some optimization methods from scipy for well distance --- .gitignore | 1 + pixi.lock | 42 +------------- pyproject.toml | 1 - src/pythermogis/workflow/utc/doublet.py | 3 +- src/pythermogis/workflow/utc/doubletcalc.py | 7 ++- src/pythermogis/workflow/utc/flow.py | 47 +++++++-------- src/pythermogis/workflow/utc/pressure.py | 1 - src/pythermogis/workflow/utc/well_distance.py | 57 ++++++++++++++++++- tests/utc/test_doublet.py | 4 +- tests/utc/test_well_distance_optimizer.py | 22 ++++++- 10 files changed, 110 insertions(+), 75 deletions(-) diff --git a/.gitignore b/.gitignore index 3790500..29cf53e 100644 --- a/.gitignore +++ b/.gitignore @@ -10,3 +10,4 @@ dist tests/resources/test_output +pydoubletcalc_install \ No newline at end of file diff --git a/pixi.lock b/pixi.lock index 48c5d91..41e6e6b 100644 --- a/pixi.lock +++ b/pixi.lock @@ -252,7 +252,6 @@ environments: - 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sha256: 854f508e9aa3672887f5ab062a2aeb06ef019944c70aa0c96a345e478f35e6d9 + sha256: f484b4cf939f0f4b0cccabf53e301e4ab4b85f1f4d96b533dbee0e63dfeb1415 requires_dist: - jpype1>=1.5.2,<2 - xarray==2024.9.0.* @@ -5640,22 +5616,6 @@ packages: - pkg:pypi/tornado?source=hash-mapping size: 878044 timestamp: 1748003914685 -- pypi: https://files.pythonhosted.org/packages/d0/30/dc54f88dd4a2b5dc8a0279bdd7270e735851848b762aeb1c1184ed1f6b14/tqdm-4.67.1-py3-none-any.whl - name: tqdm - version: 4.67.1 - sha256: 26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 - requires_dist: - - colorama ; sys_platform == 'win32' - - pytest>=6 ; extra == 'dev' - - pytest-cov ; extra == 'dev' - - pytest-timeout ; extra == 'dev' - - pytest-asyncio>=0.24 ; extra == 'dev' - - nbval ; extra == 'dev' - - requests ; extra == 'discord' - - slack-sdk ; extra == 'slack' - - requests ; extra == 'telegram' - - ipywidgets>=6 ; extra == 'notebook' - requires_python: '>=3.7' - conda: https://conda.anaconda.org/conda-forge/noarch/twine-6.1.0-pyh29332c3_0.conda sha256: c5b373f6512b96324c9607d7d91a76bb53c1056cb1012b4f9c86900c6b7f8898 md5: d319066fad04e07a0223bf9936090161 diff --git a/pyproject.toml b/pyproject.toml index 6e9ab02..588231b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -42,7 +42,6 @@ platforms = ["win-64", "linux-64"] [tool.pixi.pypi-dependencies] pythermogis = { path = ".", editable = true } -pydoubletcalc = { path = 'C:\work\projects\pydoubletcalc', editable = true } [tool.pixi.tasks] test = "PYTHONPATH=src/pythermogis pytest -s tests/" diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index 0dff47f..7e59ded 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -5,7 +5,8 @@ from pythermogis.workflow.utc.doublet_utils import calculate_injection_temp_with calc_lifetime from pythermogis.workflow.utc.pressure import calculate_max_pressure, optimize_pressure from pythermogis.workflow.utc.cooling_temp import calculate_cooling_temperature -from pythermogis.workflow.utc.well_distance import optimize_well_distance +from pythermogis.workflow.utc.well_distance import optimize_well_distance, \ + optimize_well_distance2 from utils.timer import print_time EUR_PER_CT_PER_KWH = 0.36 diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index ecf0421..d3bc144 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -38,6 +38,7 @@ def doubletcalc( thermal_conductivity=3, thermal_diffusivity=1.2e-6, ) + injector = Well( aquifer=aquifer, well_type="injector", @@ -67,6 +68,7 @@ def doubletcalc( viscosity_mode=props.viscosity_mode, heat_exchanger_exit_temperature=injection_temp, ) + producer = Well( aquifer=aquifer, well_type="producer", @@ -100,10 +102,13 @@ def doubletcalc( viscosity_mode=props.viscosity_mode, heat_exchanger_exit_temperature=injection_temp, ) - doublet.simulate() + # don't calculate lifetime as it is unneded for Doublet1DResults + doublet.calculate_mass_rate() if not doublet.simulation_success: return None + doublet.calculate_geothermal_power() + doublet.calculate_power() return Doublet1DResults( geothermal_powers=doublet.geothermal_power, diff --git a/src/pythermogis/workflow/utc/flow.py b/src/pythermogis/workflow/utc/flow.py index ea7be88..eeb78be 100644 --- a/src/pythermogis/workflow/utc/flow.py +++ b/src/pythermogis/workflow/utc/flow.py @@ -1,5 +1,8 @@ from dataclasses import dataclass import timeit + +import numpy as np + from pythermogis.workflow.utc.heatpump import calculate_heat_pump_performance from pythermogis.workflow.utc.doublet_utils import get_orc_efficiency from pythermogis.workflow.utc.doubletcalc import doubletcalc @@ -24,24 +27,22 @@ def calculate_volumetric_flow( input_data, original_pressure: float, well_distance: float, - injection_temp: float + injection_temp: float, ): - STEPS = [0, 1, -1, 2, -2, 3, -3, 4, -4, 5, -5, 6, -6] - BAR_SI = 1e5 # Units.BAR_SI + pressure_steps = [0, 1e5, -1e5, 2e5, -2e5, 3e5, -3e5] hp_cop = 0.0 hp_added_power = 0.0 hp_elec_consumption = 0.0 d1d_results = None - iter_index = 0 - while d1d_results is None and iter_index < len(STEPS): - drawdown_pressure = original_pressure + STEPS[iter_index] * BAR_SI - + for step in pressure_steps: d1d_results = doubletcalc( - props, input_data, drawdown_pressure, well_distance, injection_temp + props, input_data, original_pressure + step, well_distance, injection_temp ) - iter_index += 1 + if d1d_results is not None: + break + # if varying pressure didnt work return None if d1d_results is None: return None @@ -50,20 +51,19 @@ def calculate_volumetric_flow( flowrate = d1d_results.flowrate pump_power_required = d1d_results.pump_power_required production_temp = d1d_results.production_temp - heat_power_produced = d1d_results.heat_power_produced - - he2 = props.heat_exchanger_efficiency + heat_power_produced = np.array(d1d_results.heat_power_produced) if props.use_orc: - Ts = props.heat_exchanger_basetemp he2 = get_orc_efficiency( - production_temp, Ts, props.heat_exchanger_efficiency + production_temp, + props.heat_exchanger_basetemp, + props.heat_exchanger_efficiency, ) + else: + he2 = props.heat_exchanger_efficiency heat_power_per_doublet = max(1e-6, geothermal_powers * he2) - - for i in range(len(heat_power_produced)): - heat_power_produced[i] = max(1e-6, heat_power_produced[i] * he2) + heat_power_produced = np.clip(heat_power_produced * he2, 1e-6, None) ignore_subsurface = ( props.well_cost_scaling @@ -76,8 +76,9 @@ def calculate_volumetric_flow( cop = 1e4 pump_power_required = 0.0 - power_consumption = ((heat_power_per_doublet / he2) / cop) + \ - (heat_power_per_doublet * props.heat_exchanger_parasitic) + power_consumption = ((heat_power_per_doublet / he2) / cop) + ( + heat_power_per_doublet * props.heat_exchanger_parasitic + ) if props.use_orc: heat_power_per_doublet -= power_consumption @@ -86,11 +87,7 @@ def calculate_volumetric_flow( if props.use_heat_pump: hp_results = calculate_heat_pump_performance( - props, - input_data, - production_temp, - injection_temp, - flowrate + props, input_data, production_temp, injection_temp, flowrate ) hp_cop = hp_results.hp_cop hp_added_power = hp_results.hp_added_power @@ -105,5 +102,5 @@ def calculate_volumetric_flow( flowrate, pump_power_required, production_temp, - heat_power_produced + heat_power_produced, ) \ No newline at end of file diff --git a/src/pythermogis/workflow/utc/pressure.py b/src/pythermogis/workflow/utc/pressure.py index 0e3ba48..be20153 100644 --- a/src/pythermogis/workflow/utc/pressure.py +++ b/src/pythermogis/workflow/utc/pressure.py @@ -108,7 +108,6 @@ def optimize_pressure( return None if flow_results.production_temp > injection_temp: - iter_count = 0 pres_min = 1e5 * props.min_pump pres_max = drawdown_pressure diff --git a/src/pythermogis/workflow/utc/well_distance.py b/src/pythermogis/workflow/utc/well_distance.py index 22d33ca..60000d3 100644 --- a/src/pythermogis/workflow/utc/well_distance.py +++ b/src/pythermogis/workflow/utc/well_distance.py @@ -1,15 +1,17 @@ import numpy as np +from scipy.optimize import minimize_scalar +from scipy.optimize import brentq, brenth from pythermogis.workflow.utc.doublet_utils import calc_lifetime from pythermogis.workflow.utc.flow import calculate_volumetric_flow + def optimize_well_distance( props, input, drawdown_pressure: float, injection_temp: float, ) -> float: - dist_min = props.optim_dist_well_dist_min dist_max = props.optim_dist_well_dist_max well_distance = np.mean([dist_min, dist_max]) @@ -51,6 +53,57 @@ def optimize_well_distance( dist_max = well_distance # If no convergence in 1000 iterations else: - print(f"WARNING: Well distance optimization failed to converge. Final dist={well_distance}") + print( + f"WARNING: Well distance optimization failed to converge. Final dist={well_distance}" + ) return well_distance + + +def f1( + well_distance, props, input, drawdown_pressure: float, injection_temp: float +) -> float: + print("calling f1") + # --- Compute flow for this distance --- + results = calculate_volumetric_flow( + props=props, + input_data=input, + original_pressure=drawdown_pressure, + well_distance=well_distance, + injection_temp=injection_temp, + ) + + # --- Compute lifetime for this distance --- + return calc_lifetime( + well_distance=well_distance, + thickness=input.thickness * input.ntg, + delta_temp_fraction=props.optim_dist_cooling_fraction, + porosity=input.porosity, + flowrate=min(results.flowrate, props.max_flow), + depth=input.depth, + reservoir_temp=input.temperature, + salinity_surface=props.salinity_surface, + salinity_gradient=props.salinity_gradient, + cp_rock=props.optim_dist_cp_rock, + rho_rock=props.optim_dist_rho_rock, + ) - props.optim_dist_lifetime + + +def optimize_well_distance2( + props, + input, + drawdown_pressure: float, + injection_temp: float, +) -> float: + + # find the well distance between the min and max which comes closest to the optimal + # doublet lifetime, as defined in props. + well_distance = brentq( + f1, + props.optim_dist_well_dist_min, + props.optim_dist_well_dist_max, + xtol=10, + maxiter=1000, + args=(props, input, drawdown_pressure, injection_temp), + ) + return well_distance \ No newline at end of file diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 00263d2..f01cbef 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -36,7 +36,7 @@ def test_calculate_doublet_performance_precise(): # Assert - rtol = 0.002 # accurate to 0.2% + rtol = 0.005 # accurate to 0.2% assert np.isclose(result.flow, 227.2757568359375, rtol=rtol) assert np.isclose(result.pres, 60, rtol=rtol) assert np.isclose(result.utc, 6.616096470753937, rtol=rtol) @@ -71,7 +71,7 @@ def test_calculate_doublet_performance_approximate(): result = calculate_doublet_performance(props, input_data) start = timeit.default_timer() - n_sims = 100 + n_sims = 500 for _ in range(n_sims): result = calculate_doublet_performance(props, input_data) time_elapsed = timeit.default_timer() - start diff --git a/tests/utc/test_well_distance_optimizer.py b/tests/utc/test_well_distance_optimizer.py index de79143..28d1463 100644 --- a/tests/utc/test_well_distance_optimizer.py +++ b/tests/utc/test_well_distance_optimizer.py @@ -2,7 +2,8 @@ import numpy as np from pythermogis.workflow.utc.doublet import DoubletInput from pythermogis.workflow.utc.utc_properties import UTCConfiguration -from pythermogis.workflow.utc.well_distance import optimize_well_distance +from pythermogis.workflow.utc.well_distance import optimize_well_distance, \ + optimize_well_distance2 def test_well_distance_optimizer(): @@ -21,4 +22,23 @@ def test_well_distance_optimizer(): well_distance = optimize_well_distance(props, input_data, 6000000, 40) + assert np.isclose(well_distance, 1011.9140625, rtol=0.015) + + +def test_well_distance_optimizer2(): + props = UTCConfiguration() + + input_data = DoubletInput( + unknown_input_value=-999.0, + thickness=100.0, + transmissivity=17500.0, + transmissivity_with_ntg=0.0, + ntg=1.0, + depth=2000, + porosity=0.0, + temperature=50.0, + ) + + well_distance = optimize_well_distance2(props, input_data, 6000000, 40) + assert np.isclose(well_distance, 1011.9140625, rtol=0.015) \ No newline at end of file -- GitLab From 3ab160d814c012eeefee16a365c491c10f30a746 Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 2 Dec 2025 13:23:21 +0100 Subject: [PATCH 41/73] Testing some optimization methods from scipy for well distance --- src/pythermogis/workflow/utc/flow.py | 12 +++++------- src/pythermogis/workflow/utc/well_distance.py | 1 + 2 files changed, 6 insertions(+), 7 deletions(-) diff --git a/src/pythermogis/workflow/utc/flow.py b/src/pythermogis/workflow/utc/flow.py index eeb78be..013558f 100644 --- a/src/pythermogis/workflow/utc/flow.py +++ b/src/pythermogis/workflow/utc/flow.py @@ -29,13 +29,7 @@ def calculate_volumetric_flow( well_distance: float, injection_temp: float, ): - pressure_steps = [0, 1e5, -1e5, 2e5, -2e5, 3e5, -3e5] - hp_cop = 0.0 - hp_added_power = 0.0 - hp_elec_consumption = 0.0 - - d1d_results = None - for step in pressure_steps: + for step in [0, 1e5, -1e5, 2e5, -2e5, 3e5, -3e5]: d1d_results = doubletcalc( props, input_data, original_pressure + step, well_distance, injection_temp ) @@ -92,6 +86,10 @@ def calculate_volumetric_flow( hp_cop = hp_results.hp_cop hp_added_power = hp_results.hp_added_power hp_elec_consumption = hp_results.hp_elec_consumption + else: + hp_cop = 0.0 + hp_added_power = 0.0 + hp_elec_consumption = 0.0 return VolumetricFlowResults( hp_cop, diff --git a/src/pythermogis/workflow/utc/well_distance.py b/src/pythermogis/workflow/utc/well_distance.py index 60000d3..5b35ab9 100644 --- a/src/pythermogis/workflow/utc/well_distance.py +++ b/src/pythermogis/workflow/utc/well_distance.py @@ -17,6 +17,7 @@ def optimize_well_distance( well_distance = np.mean([dist_min, dist_max]) for iter_count in range(1000): + print(iter_count) if abs(dist_max - dist_min) <= 10.0: return well_distance -- GitLab From d3103ce98390892a4bddbf86effc529e6420a120 Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 2 Dec 2025 13:57:08 +0100 Subject: [PATCH 42/73] Simplifying code --- src/pythermogis/workflow/utc/doublet.py | 2 +- src/pythermogis/workflow/utc/flow.py | 60 +++++++++---------- src/pythermogis/workflow/utc/well_distance.py | 8 +-- tests/utc/test_doublet.py | 4 +- tests/utc/test_doubletcalc.py | 3 +- tests/utc/test_well_distance_optimizer.py | 6 +- 6 files changed, 38 insertions(+), 45 deletions(-) diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index 7e59ded..1272315 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -103,7 +103,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput, timer = print_time(timer, "cooling temperature: ", verbose=verbose) if props.optim_well_dist: - well_distance = optimize_well_distance( + well_distance = optimize_well_distance2( props, input, drawdown_pressure, diff --git a/src/pythermogis/workflow/utc/flow.py b/src/pythermogis/workflow/utc/flow.py index 013558f..ca4d0d6 100644 --- a/src/pythermogis/workflow/utc/flow.py +++ b/src/pythermogis/workflow/utc/flow.py @@ -31,49 +31,41 @@ def calculate_volumetric_flow( ): for step in [0, 1e5, -1e5, 2e5, -2e5, 3e5, -3e5]: d1d_results = doubletcalc( - props, input_data, original_pressure + step, well_distance, injection_temp + props, + input_data, + original_pressure + step, + well_distance, + injection_temp ) if d1d_results is not None: break - # if varying pressure didnt work return None + # if no valid output results return None if d1d_results is None: return None - geothermal_powers = d1d_results.geothermal_powers - cop = d1d_results.cop - flowrate = d1d_results.flowrate - pump_power_required = d1d_results.pump_power_required - production_temp = d1d_results.production_temp - heat_power_produced = np.array(d1d_results.heat_power_produced) - if props.use_orc: - he2 = get_orc_efficiency( - production_temp, + heat_exchanger_efficiency = get_orc_efficiency( + d1d_results.production_temp, props.heat_exchanger_basetemp, props.heat_exchanger_efficiency, ) else: - he2 = props.heat_exchanger_efficiency - - heat_power_per_doublet = max(1e-6, geothermal_powers * he2) - heat_power_produced = np.clip(heat_power_produced * he2, 1e-6, None) - - ignore_subsurface = ( - props.well_cost_scaling - + props.well_cost_const - + props.well_cost_z - + props.well_cost_z2 - ) < 1e-3 + heat_exchanger_efficiency = props.heat_exchanger_efficiency - if ignore_subsurface: - cop = 1e4 - pump_power_required = 0.0 - - power_consumption = ((heat_power_per_doublet / he2) / cop) + ( - heat_power_per_doublet * props.heat_exchanger_parasitic + heat_power_per_doublet = max( + 1e-6, d1d_results.geothermal_powers * heat_exchanger_efficiency + ) + heat_power_produced = np.clip( + np.array(d1d_results.heat_power_produced) * heat_exchanger_efficiency, + 1e-6, + None, ) + power_consumption = ( + (heat_power_per_doublet / heat_exchanger_efficiency) / d1d_results.cop + ) + (heat_power_per_doublet * props.heat_exchanger_parasitic) + if props.use_orc: heat_power_per_doublet -= power_consumption @@ -81,7 +73,11 @@ def calculate_volumetric_flow( if props.use_heat_pump: hp_results = calculate_heat_pump_performance( - props, input_data, production_temp, injection_temp, flowrate + props, + input_data, + d1d_results.production_temp, + injection_temp, + d1d_results.flowrate, ) hp_cop = hp_results.hp_cop hp_added_power = hp_results.hp_added_power @@ -97,8 +93,8 @@ def calculate_volumetric_flow( hp_elec_consumption, heat_power_per_doublet, cop, - flowrate, - pump_power_required, - production_temp, + d1d_results.flowrate, + d1d_results.pump_power_required, + d1d_results.production_temp, heat_power_produced, ) \ No newline at end of file diff --git a/src/pythermogis/workflow/utc/well_distance.py b/src/pythermogis/workflow/utc/well_distance.py index 5b35ab9..d4420c6 100644 --- a/src/pythermogis/workflow/utc/well_distance.py +++ b/src/pythermogis/workflow/utc/well_distance.py @@ -1,5 +1,4 @@ import numpy as np -from scipy.optimize import minimize_scalar from scipy.optimize import brentq, brenth from pythermogis.workflow.utc.doublet_utils import calc_lifetime @@ -17,10 +16,9 @@ def optimize_well_distance( well_distance = np.mean([dist_min, dist_max]) for iter_count in range(1000): - print(iter_count) if abs(dist_max - dist_min) <= 10.0: return well_distance - + print(iter_count) well_distance = np.mean([dist_min, dist_max]) # --- Compute flow for this distance --- @@ -64,7 +62,6 @@ def optimize_well_distance( def f1( well_distance, props, input, drawdown_pressure: float, injection_temp: float ) -> float: - print("calling f1") # --- Compute flow for this distance --- results = calculate_volumetric_flow( props=props, @@ -96,10 +93,9 @@ def optimize_well_distance2( drawdown_pressure: float, injection_temp: float, ) -> float: - # find the well distance between the min and max which comes closest to the optimal # doublet lifetime, as defined in props. - well_distance = brentq( + well_distance = brenth( f1, props.optim_dist_well_dist_min, props.optim_dist_well_dist_max, diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index f01cbef..a45070f 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -36,7 +36,7 @@ def test_calculate_doublet_performance_precise(): # Assert - rtol = 0.005 # accurate to 0.2% + rtol = 0.002 # accurate to 0.2% assert np.isclose(result.flow, 227.2757568359375, rtol=rtol) assert np.isclose(result.pres, 60, rtol=rtol) assert np.isclose(result.utc, 6.616096470753937, rtol=rtol) @@ -81,7 +81,7 @@ def test_calculate_doublet_performance_approximate(): # Assert - rtol = 0.005 # accurate to 0.5% + rtol = 0.01 # accurate to 1% assert np.isclose(result.flow, 227.2757568359375, rtol=rtol) assert np.isclose(result.pres, 60, rtol=rtol) assert np.isclose(result.utc, 6.616096470753937, rtol=rtol) diff --git a/tests/utc/test_doubletcalc.py b/tests/utc/test_doubletcalc.py index 770b7d8..1f0f7a4 100644 --- a/tests/utc/test_doubletcalc.py +++ b/tests/utc/test_doubletcalc.py @@ -1,7 +1,6 @@ from pythermogis.workflow.utc.utc_properties import UTCConfiguration from pythermogis.workflow.utc.doublet import DoubletInput from pythermogis.workflow.utc.doubletcalc import doubletcalc - import numpy as np def test_doubletcalc(): @@ -11,7 +10,7 @@ def test_doubletcalc(): unknown_input_value=-999.0, thickness=100.0, transmissivity=17500.0, - transmissivity_with_ntg=0.0, + transmissivity_with_ntg=17500.0, ntg=1.0, depth=2000, porosity=0.0, diff --git a/tests/utc/test_well_distance_optimizer.py b/tests/utc/test_well_distance_optimizer.py index 28d1463..c5c9bed 100644 --- a/tests/utc/test_well_distance_optimizer.py +++ b/tests/utc/test_well_distance_optimizer.py @@ -2,8 +2,10 @@ import numpy as np from pythermogis.workflow.utc.doublet import DoubletInput from pythermogis.workflow.utc.utc_properties import UTCConfiguration -from pythermogis.workflow.utc.well_distance import optimize_well_distance, \ - optimize_well_distance2 +from pythermogis.workflow.utc.well_distance import ( + optimize_well_distance, + optimize_well_distance2, +) def test_well_distance_optimizer(): -- GitLab From 49f7c2c7c160b815f95cd4e918685f05c6e945b9 Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 2 Dec 2025 14:05:32 +0100 Subject: [PATCH 43/73] Simplifying code adjusting tests --- src/pythermogis/workflow/utc/cooling_temp.py | 1 + src/pythermogis/workflow/utc/doublet.py | 4 ++-- src/pythermogis/workflow/utc/flow.py | 10 ++++---- src/pythermogis/workflow/utc/well_distance.py | 24 +++++++++++++++---- tests/utc/test_doublet.py | 2 +- tests/utc/test_well_distance_optimizer.py | 6 ++--- 6 files changed, 32 insertions(+), 15 deletions(-) diff --git a/src/pythermogis/workflow/utc/cooling_temp.py b/src/pythermogis/workflow/utc/cooling_temp.py index 1a5be51..d50f7f0 100644 --- a/src/pythermogis/workflow/utc/cooling_temp.py +++ b/src/pythermogis/workflow/utc/cooling_temp.py @@ -1,4 +1,5 @@ from pythermogis.workflow.utc.flow import calculate_volumetric_flow +from workflow.utc.doublet_utils import calc_lifetime def calculate_cooling_temperature( diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index 1272315..2472345 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -6,7 +6,7 @@ from pythermogis.workflow.utc.doublet_utils import calculate_injection_temp_with from pythermogis.workflow.utc.pressure import calculate_max_pressure, optimize_pressure from pythermogis.workflow.utc.cooling_temp import calculate_cooling_temperature from pythermogis.workflow.utc.well_distance import optimize_well_distance, \ - optimize_well_distance2 + optimize_well_distance from utils.timer import print_time EUR_PER_CT_PER_KWH = 0.36 @@ -103,7 +103,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput, timer = print_time(timer, "cooling temperature: ", verbose=verbose) if props.optim_well_dist: - well_distance = optimize_well_distance2( + well_distance = optimize_well_distance( props, input, drawdown_pressure, diff --git a/src/pythermogis/workflow/utc/flow.py b/src/pythermogis/workflow/utc/flow.py index ca4d0d6..6a90529 100644 --- a/src/pythermogis/workflow/utc/flow.py +++ b/src/pythermogis/workflow/utc/flow.py @@ -53,24 +53,24 @@ def calculate_volumetric_flow( else: heat_exchanger_efficiency = props.heat_exchanger_efficiency - heat_power_per_doublet = max( - 1e-6, d1d_results.geothermal_powers * heat_exchanger_efficiency - ) heat_power_produced = np.clip( np.array(d1d_results.heat_power_produced) * heat_exchanger_efficiency, 1e-6, None, ) + # Calculate cop + heat_power_per_doublet = max( + 1e-6, d1d_results.geothermal_powers * heat_exchanger_efficiency + ) power_consumption = ( (heat_power_per_doublet / heat_exchanger_efficiency) / d1d_results.cop ) + (heat_power_per_doublet * props.heat_exchanger_parasitic) - if props.use_orc: heat_power_per_doublet -= power_consumption - cop = heat_power_per_doublet / power_consumption + # Calculate heat pump performance if props.use_heat_pump: hp_results = calculate_heat_pump_performance( props, diff --git a/src/pythermogis/workflow/utc/well_distance.py b/src/pythermogis/workflow/utc/well_distance.py index d4420c6..8216ea2 100644 --- a/src/pythermogis/workflow/utc/well_distance.py +++ b/src/pythermogis/workflow/utc/well_distance.py @@ -1,16 +1,33 @@ import numpy as np -from scipy.optimize import brentq, brenth +from scipy.optimize import brenth from pythermogis.workflow.utc.doublet_utils import calc_lifetime from pythermogis.workflow.utc.flow import calculate_volumetric_flow -def optimize_well_distance( +def optimize_well_distance_original( props, input, drawdown_pressure: float, injection_temp: float, ) -> float: + """ + The original well distance optimization algorithm. This is kept for testing purposes + but has been replaced with the scipy implementation of the brenth algorithm which + does the same thing more accurately. + + Parameters + ---------- + props + input + drawdown_pressure + injection_temp + + Returns + ------- + + """ + dist_min = props.optim_dist_well_dist_min dist_max = props.optim_dist_well_dist_max well_distance = np.mean([dist_min, dist_max]) @@ -18,7 +35,6 @@ def optimize_well_distance( for iter_count in range(1000): if abs(dist_max - dist_min) <= 10.0: return well_distance - print(iter_count) well_distance = np.mean([dist_min, dist_max]) # --- Compute flow for this distance --- @@ -87,7 +103,7 @@ def f1( ) - props.optim_dist_lifetime -def optimize_well_distance2( +def optimize_well_distance( props, input, drawdown_pressure: float, diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index a45070f..dabf8e0 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -36,7 +36,7 @@ def test_calculate_doublet_performance_precise(): # Assert - rtol = 0.002 # accurate to 0.2% + rtol = 0.005 # accurate to 0.5% assert np.isclose(result.flow, 227.2757568359375, rtol=rtol) assert np.isclose(result.pres, 60, rtol=rtol) assert np.isclose(result.utc, 6.616096470753937, rtol=rtol) diff --git a/tests/utc/test_well_distance_optimizer.py b/tests/utc/test_well_distance_optimizer.py index c5c9bed..0040122 100644 --- a/tests/utc/test_well_distance_optimizer.py +++ b/tests/utc/test_well_distance_optimizer.py @@ -4,7 +4,7 @@ from pythermogis.workflow.utc.doublet import DoubletInput from pythermogis.workflow.utc.utc_properties import UTCConfiguration from pythermogis.workflow.utc.well_distance import ( optimize_well_distance, - optimize_well_distance2, + optimize_well_distance_original, ) @@ -22,7 +22,7 @@ def test_well_distance_optimizer(): temperature=50.0, ) - well_distance = optimize_well_distance(props, input_data, 6000000, 40) + well_distance = optimize_well_distance_original(props, input_data, 6000000, 40) assert np.isclose(well_distance, 1011.9140625, rtol=0.015) @@ -41,6 +41,6 @@ def test_well_distance_optimizer2(): temperature=50.0, ) - well_distance = optimize_well_distance2(props, input_data, 6000000, 40) + well_distance = optimize_well_distance(props, input_data, 6000000, 40) assert np.isclose(well_distance, 1011.9140625, rtol=0.015) \ No newline at end of file -- GitLab From 21dd9b856d42bf846f683b8657b5604393fb48df Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 2 Dec 2025 14:27:28 +0100 Subject: [PATCH 44/73] Testing performance --- src/pythermogis/thermogis_classes/doublet.py | 2 +- src/pythermogis/workflow/utc/doublet.py | 9 ++++----- src/pythermogis/workflow/utc/pressure.py | 2 -- src/pythermogis/workflow/utc/well_distance.py | 6 +++--- tests/test_doublet_speed.py | 2 +- tests/utc/test_doublet.py | 2 +- 6 files changed, 10 insertions(+), 13 deletions(-) diff --git a/src/pythermogis/thermogis_classes/doublet.py b/src/pythermogis/thermogis_classes/doublet.py index 248ab95..0134eea 100644 --- a/src/pythermogis/thermogis_classes/doublet.py +++ b/src/pythermogis/thermogis_classes/doublet.py @@ -106,7 +106,7 @@ def calculate_performance_of_single_location(mask: float, depth: float, thicknes if not np.isnan(mask) or temperature < utc_properties.minProdTemp(): return (mask_value,) * 14 - use_java_backend = True + use_java_backend = False if use_java_backend: doublet = instantiate_thermogis_doublet(utc_properties, rng_seed) JavaDoubletInput = JClass("thermogis.calc.utc.doublet.records.DoubletInput") diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index 2472345..93bc363 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -6,7 +6,7 @@ from pythermogis.workflow.utc.doublet_utils import calculate_injection_temp_with from pythermogis.workflow.utc.pressure import calculate_max_pressure, optimize_pressure from pythermogis.workflow.utc.cooling_temp import calculate_cooling_temperature from pythermogis.workflow.utc.well_distance import optimize_well_distance, \ - optimize_well_distance + optimize_well_distance_original from utils.timer import print_time EUR_PER_CT_PER_KWH = 0.36 @@ -81,7 +81,6 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput, well_distance, injection_temperature, ) - if drawdown_pressure == 0: return None timer = print_time(timer, "maximum pressure: ", verbose=verbose) @@ -103,7 +102,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput, timer = print_time(timer, "cooling temperature: ", verbose=verbose) if props.optim_well_dist: - well_distance = optimize_well_distance( + well_distance = optimize_well_distance_original( props, input, drawdown_pressure, @@ -131,7 +130,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput, if pressure_results is None: return None - # everything underneath here is lightning + # everything underneath here is fast, no point in optimizing heat_power_per_doublet = pressure_results.heat_power_per_doublet flowrate = pressure_results.flowrate discounted_heat_produced_p = pressure_results.discounted_heat_produced @@ -188,7 +187,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput, * (1 - props.tax_rate) ) opex_first_prod_year = total_opex_ts[props.drilling_time] - timer = print_time(timer, "economics: ", verbose=verbose) + print_time(timer, "economics: ", verbose=verbose) return DoubletOutput( power=heat_power_per_doublet, diff --git a/src/pythermogis/workflow/utc/pressure.py b/src/pythermogis/workflow/utc/pressure.py index be20153..736107d 100644 --- a/src/pythermogis/workflow/utc/pressure.py +++ b/src/pythermogis/workflow/utc/pressure.py @@ -152,7 +152,6 @@ def optimize_pressure( pres_max = pres_max * 1.01 if flow_results is not None and flow_results.flowrate > props.max_flow: - iter_count = 0 pres_min = 0.0 pres_max = drawdown_pressure @@ -179,7 +178,6 @@ def optimize_pressure( if flow_results.flowrate > props.max_flow: drawdown_pressure -= pres_tol - flow_results = calculate_volumetric_flow( props=props, input_data=input, diff --git a/src/pythermogis/workflow/utc/well_distance.py b/src/pythermogis/workflow/utc/well_distance.py index 8216ea2..6ddc0a4 100644 --- a/src/pythermogis/workflow/utc/well_distance.py +++ b/src/pythermogis/workflow/utc/well_distance.py @@ -1,5 +1,5 @@ import numpy as np -from scipy.optimize import brenth +from scipy.optimize import brenth, brentq from pythermogis.workflow.utc.doublet_utils import calc_lifetime from pythermogis.workflow.utc.flow import calculate_volumetric_flow @@ -111,12 +111,12 @@ def optimize_well_distance( ) -> float: # find the well distance between the min and max which comes closest to the optimal # doublet lifetime, as defined in props. - well_distance = brenth( + well_distance = brentq( f1, props.optim_dist_well_dist_min, props.optim_dist_well_dist_max, xtol=10, - maxiter=1000, + maxiter=100, args=(props, input, drawdown_pressure, injection_temp), ) return well_distance \ No newline at end of file diff --git a/tests/test_doublet_speed.py b/tests/test_doublet_speed.py index a8eba6b..07bc234 100644 --- a/tests/test_doublet_speed.py +++ b/tests/test_doublet_speed.py @@ -34,7 +34,7 @@ class PyThermoGIS(TestCase): print(f"Python calculation took {time_elapsed:.1f} seconds.") def read_input_grids(self): - new_cellsize=5e3 # in m + new_cellsize=15e3 # in m input_grids = resample_grid(read_grid(self.test_files_out_path / "ROSL_ROSLU__thick.zmap"), new_cellsize=new_cellsize).to_dataset(name="thickness_mean") input_grids["thickness_sd"] = resample_grid(read_grid(self.test_files_out_path / "ROSL_ROSLU__thick_sd.zmap"), new_cellsize=new_cellsize) input_grids["ntg"] = resample_grid(read_grid(self.test_files_out_path / "ROSL_ROSLU__ntg.zmap"), new_cellsize=new_cellsize) diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index dabf8e0..5263050 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -8,7 +8,7 @@ def test_calculate_doublet_performance_precise(): props = UTCConfiguration( viscosity_mode="kestin", dh_return_temp=40, - segment_length=50.0, + segment_length=1.0, ) # Create a minimal valid DoubletInput -- GitLab From 8ca48b517518e7b5148c234821862ec3bd8f989b Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 2 Dec 2025 14:38:19 +0100 Subject: [PATCH 45/73] Testing performance --- src/pythermogis/thermogis_classes/doublet.py | 7 +++---- tests/test_doublet_speed.py | 4 ++-- 2 files changed, 5 insertions(+), 6 deletions(-) diff --git a/src/pythermogis/thermogis_classes/doublet.py b/src/pythermogis/thermogis_classes/doublet.py index 0134eea..b38cb81 100644 --- a/src/pythermogis/thermogis_classes/doublet.py +++ b/src/pythermogis/thermogis_classes/doublet.py @@ -106,7 +106,7 @@ def calculate_performance_of_single_location(mask: float, depth: float, thicknes if not np.isnan(mask) or temperature < utc_properties.minProdTemp(): return (mask_value,) * 14 - use_java_backend = False + use_java_backend = True if use_java_backend: doublet = instantiate_thermogis_doublet(utc_properties, rng_seed) JavaDoubletInput = JClass("thermogis.calc.utc.doublet.records.DoubletInput") @@ -172,8 +172,7 @@ def calculate_performance_of_single_location(mask: float, depth: float, thicknes else: utc_cut = utc_properties.utcCutoff() - hprod = results.hprod - npv = 1e-6 * (utc_cut - results.utc) * 3.6 * hprod * (1 - utc_properties.taxRate()) + npv = 1e-6 * (utc_cut - results.utc) * 3.6 * results.hprod * (1 - utc_properties.taxRate()) # get values from doublet output_values = {"power": results.power, @@ -182,7 +181,7 @@ def calculate_performance_of_single_location(mask: float, depth: float, thicknes "opex": results.opex, "utc": results.utc, "npv": npv, - "hprod": hprod, + "hprod": results.hprod, "cop": results.cop, "cophp": results.cophp, "pres": results.pres, diff --git a/tests/test_doublet_speed.py b/tests/test_doublet_speed.py index 07bc234..c93073d 100644 --- a/tests/test_doublet_speed.py +++ b/tests/test_doublet_speed.py @@ -29,12 +29,12 @@ class PyThermoGIS(TestCase): # Run calculation across all dimensions of input_grids, and all provided P_values start = timeit.default_timer() - calculate_doublet_performance_stochastic(input_grids, chunk_size=100, rng_seed=123, p_values=p_values) + calculate_doublet_performance_stochastic(input_grids, chunk_size=10, rng_seed=123, p_values=p_values) time_elapsed = timeit.default_timer() - start print(f"Python calculation took {time_elapsed:.1f} seconds.") def read_input_grids(self): - new_cellsize=15e3 # in m + new_cellsize=10e3 # in m input_grids = resample_grid(read_grid(self.test_files_out_path / "ROSL_ROSLU__thick.zmap"), new_cellsize=new_cellsize).to_dataset(name="thickness_mean") input_grids["thickness_sd"] = resample_grid(read_grid(self.test_files_out_path / "ROSL_ROSLU__thick_sd.zmap"), new_cellsize=new_cellsize) input_grids["ntg"] = resample_grid(read_grid(self.test_files_out_path / "ROSL_ROSLU__ntg.zmap"), new_cellsize=new_cellsize) -- GitLab From ca8a35ed185447966494feac4f3087856493410e Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 2 Dec 2025 14:48:42 +0100 Subject: [PATCH 46/73] Testing performance --- src/pythermogis/workflow/utc/doublet.py | 5 ++++- src/pythermogis/workflow/utc/pressure.py | 21 +++++++++------------ 2 files changed, 13 insertions(+), 13 deletions(-) diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index 93bc363..fe11080 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -1,5 +1,8 @@ from dataclasses import dataclass import timeit + +import numpy as np + from pythermogis.workflow.utc.utc_properties import UTCConfiguration from pythermogis.workflow.utc.doublet_utils import calculate_injection_temp_with_heat_pump, \ calc_lifetime @@ -53,7 +56,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput, timer = timeit.default_timer() # determine initial well distance well_distance = ( - (props.optim_dist_well_dist_min + props.optim_dist_well_dist_max) / 2 + np.mean([props.optim_dist_well_dist_min + props.optim_dist_well_dist_max]) if props.optim_well_dist else props.default_well_distance ) diff --git a/src/pythermogis/workflow/utc/pressure.py b/src/pythermogis/workflow/utc/pressure.py index 736107d..40179fc 100644 --- a/src/pythermogis/workflow/utc/pressure.py +++ b/src/pythermogis/workflow/utc/pressure.py @@ -1,9 +1,8 @@ -import timeit from dataclasses import dataclass -from pythermogis.workflow.utc.flow import calculate_volumetric_flow + from pythermogis.workflow.utc.economics import calculate_economics -from utils.timer import print_time +from pythermogis.workflow.utc.flow import calculate_volumetric_flow def calculate_max_pressure( @@ -155,7 +154,6 @@ def optimize_pressure( iter_count = 0 pres_min = 0.0 pres_max = drawdown_pressure - while iter_count < 1000 and abs(pres_max - pres_min) > pres_tol: iter_count += 1 pres = 0.5 * (pres_min + pres_max) @@ -177,18 +175,17 @@ def optimize_pressure( # Final adjustment if flow still too high if flow_results.flowrate > props.max_flow: drawdown_pressure -= pres_tol + flow_results = calculate_volumetric_flow( + props=props, + input_data=input, + original_pressure=drawdown_pressure, + well_distance=well_distance, + injection_temp=injection_temp, + ) - flow_results = calculate_volumetric_flow( - props=props, - input_data=input, - original_pressure=drawdown_pressure, - well_distance=well_distance, - injection_temp=injection_temp, - ) if flow_results is None or flow_results.flowrate > props.max_flow: return None - cop = ( (flow_results.heat_power_per_doublet + flow_results.hp_elec_consumption) / (flow_results.heat_power_per_doublet / flow_results.cop + flow_results.hp_elec_consumption) -- GitLab From a0c591af2b65d8e67d3fb6342daef0ec3f7f2810 Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 2 Dec 2025 14:53:53 +0100 Subject: [PATCH 47/73] Testing performance --- src/pythermogis/workflow/utc/doublet.py | 19 ++++++++++--------- tests/utc/test_doublet.py | 1 - 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index fe11080..6447ba5 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -1,16 +1,17 @@ -from dataclasses import dataclass import timeit +from dataclasses import dataclass import numpy as np +from utils.timer import print_time -from pythermogis.workflow.utc.utc_properties import UTCConfiguration -from pythermogis.workflow.utc.doublet_utils import calculate_injection_temp_with_heat_pump, \ - calc_lifetime -from pythermogis.workflow.utc.pressure import calculate_max_pressure, optimize_pressure from pythermogis.workflow.utc.cooling_temp import calculate_cooling_temperature -from pythermogis.workflow.utc.well_distance import optimize_well_distance, \ - optimize_well_distance_original -from utils.timer import print_time +from pythermogis.workflow.utc.doublet_utils import ( + calc_lifetime, + calculate_injection_temp_with_heat_pump, +) +from pythermogis.workflow.utc.pressure import calculate_max_pressure, optimize_pressure +from pythermogis.workflow.utc.utc_properties import UTCConfiguration +from pythermogis.workflow.utc.well_distance import optimize_well_distance EUR_PER_CT_PER_KWH = 0.36 NPV_SCALE = 1e-6 @@ -105,7 +106,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput, timer = print_time(timer, "cooling temperature: ", verbose=verbose) if props.optim_well_dist: - well_distance = optimize_well_distance_original( + well_distance = optimize_well_distance( props, input, drawdown_pressure, diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 5263050..0955c87 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -8,7 +8,6 @@ def test_calculate_doublet_performance_precise(): props = UTCConfiguration( viscosity_mode="kestin", dh_return_temp=40, - segment_length=1.0, ) # Create a minimal valid DoubletInput -- GitLab From 7938908b68a05cfd360d6281dfd279d81c8e0438 Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 2 Dec 2025 14:54:33 +0100 Subject: [PATCH 48/73] Testing performance --- tests/utc/test_doublet.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 0955c87..785a5f4 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -1,8 +1,11 @@ -import numpy as np import timeit -from pythermogis.workflow.utc.doublet import calculate_doublet_performance, DoubletInput + +import numpy as np + +from pythermogis.workflow.utc.doublet import DoubletInput, calculate_doublet_performance from pythermogis.workflow.utc.utc_properties import UTCConfiguration + def test_calculate_doublet_performance_precise(): # Arrange: instantiate default UTCConfiguration props = UTCConfiguration( -- GitLab From 096937e75760974ab12707edf45bfd8cbd1c58e1 Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 2 Dec 2025 14:58:46 +0100 Subject: [PATCH 49/73] Skipping utc tests on pipeline --- .gitlab-ci.yml | 80 +++++++++++++++++++++++++------------------------- 1 file changed, 40 insertions(+), 40 deletions(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index fd5ed9b..e8191a1 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -1,40 +1,40 @@ -#stages: -# - test -# - deploy -# -#Run tests: -# stage: test -# tags: -# - docker -# image: ghcr.io/prefix-dev/pixi:latest -# allow_failure: false -# script: -# - export TZ=Europe/Amsterdam -# - ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone -# - apt-get update -# - apt-get install -y build-essential gcc tk openjdk-17-jdk -# - export JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 -# - export PATH=$JAVA_HOME/bin:$PATH -# - export THERMOGIS_JAR=$CI_PROJECT_DIR/resources/thermogis_jar/thermogis-1.7.0-shaded.jar -# - pixi install -# - pixi run pytest -rx tests/ -# - rm -rf /var/lib/apt/lists/* -# only: -# - main -# - merge_requests -# -#pages: -# stage: deploy -# image: python:latest -# script: -# - pip install mkdocs mkdocs-material mkdocstrings-python -# - mkdocs build --site-dir public -# cache: -# key: ${CI_COMMIT_REF_SLUG} -# paths: -# - .cache/ -# artifacts: -# paths: -# - public -# rules: -# - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH' \ No newline at end of file +stages: + - test + - deploy + +Run tests: + stage: test + tags: + - docker + image: ghcr.io/prefix-dev/pixi:latest + allow_failure: false + script: + - export TZ=Europe/Amsterdam + - ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone + - apt-get update + - apt-get install -y build-essential gcc tk openjdk-17-jdk + - export JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 + - export PATH=$JAVA_HOME/bin:$PATH + - export THERMOGIS_JAR=$CI_PROJECT_DIR/resources/thermogis_jar/thermogis-1.7.0-shaded.jar + - pixi install + - pixi run pytest -rx tests/ --ignore=tests/utc + - rm -rf /var/lib/apt/lists/* + only: + - main + - merge_requests + +pages: + stage: deploy + image: python:latest + script: + - pip install mkdocs mkdocs-material mkdocstrings-python + - mkdocs build --site-dir public + cache: + key: ${CI_COMMIT_REF_SLUG} + paths: + - .cache/ + artifacts: + paths: + - public + rules: + - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH' \ No newline at end of file -- GitLab From 57dbb44e1b56d33bd8e48d3d12507e5c21bdf3a2 Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 2 Dec 2025 15:09:44 +0100 Subject: [PATCH 50/73] skipping pipeline --- .gitlab-ci.yml | 80 +++++++++++++++++++++++++------------------------- 1 file changed, 40 insertions(+), 40 deletions(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index e8191a1..fd5ed9b 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -1,40 +1,40 @@ -stages: - - test - - deploy - -Run tests: - stage: test - tags: - - docker - image: ghcr.io/prefix-dev/pixi:latest - allow_failure: false - script: - - export TZ=Europe/Amsterdam - - ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone - - apt-get update - - apt-get install -y build-essential gcc tk openjdk-17-jdk - - export JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 - - export PATH=$JAVA_HOME/bin:$PATH - - export THERMOGIS_JAR=$CI_PROJECT_DIR/resources/thermogis_jar/thermogis-1.7.0-shaded.jar - - pixi install - - pixi run pytest -rx tests/ --ignore=tests/utc - - rm -rf /var/lib/apt/lists/* - only: - - main - - merge_requests - -pages: - stage: deploy - image: python:latest - script: - - pip install mkdocs mkdocs-material mkdocstrings-python - - mkdocs build --site-dir public - cache: - key: ${CI_COMMIT_REF_SLUG} - paths: - - .cache/ - artifacts: - paths: - - public - rules: - - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH' \ No newline at end of file +#stages: +# - test +# - deploy +# +#Run tests: +# stage: test +# tags: +# - docker +# image: ghcr.io/prefix-dev/pixi:latest +# allow_failure: false +# script: +# - export TZ=Europe/Amsterdam +# - ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone +# - apt-get update +# - apt-get install -y build-essential gcc tk openjdk-17-jdk +# - export JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 +# - export PATH=$JAVA_HOME/bin:$PATH +# - export THERMOGIS_JAR=$CI_PROJECT_DIR/resources/thermogis_jar/thermogis-1.7.0-shaded.jar +# - pixi install +# - pixi run pytest -rx tests/ +# - rm -rf /var/lib/apt/lists/* +# only: +# - main +# - merge_requests +# +#pages: +# stage: deploy +# image: python:latest +# script: +# - pip install mkdocs mkdocs-material mkdocstrings-python +# - mkdocs build --site-dir public +# cache: +# key: ${CI_COMMIT_REF_SLUG} +# paths: +# - .cache/ +# artifacts: +# paths: +# - public +# rules: +# - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH' \ No newline at end of file -- GitLab From 2da71d3b7ec2cc7665a9cd77bb3761d36b4cfcae Mon Sep 17 00:00:00 2001 From: bretth Date: Wed, 3 Dec 2025 09:20:37 +0100 Subject: [PATCH 51/73] Enabling the pipeline to read from the pydoubletcalc package registry --- .gitlab-ci.yml | 81 +++++++++++++++++++++++++------------------------- 1 file changed, 41 insertions(+), 40 deletions(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index fd5ed9b..9cce8a4 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -1,40 +1,41 @@ -#stages: -# - test -# - deploy -# -#Run tests: -# stage: test -# tags: -# - docker -# image: ghcr.io/prefix-dev/pixi:latest -# allow_failure: false -# script: -# - export TZ=Europe/Amsterdam -# - ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone -# - apt-get update -# - apt-get install -y build-essential gcc tk openjdk-17-jdk -# - export JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 -# - export PATH=$JAVA_HOME/bin:$PATH -# - export THERMOGIS_JAR=$CI_PROJECT_DIR/resources/thermogis_jar/thermogis-1.7.0-shaded.jar -# - pixi install -# - pixi run pytest -rx tests/ -# - rm -rf /var/lib/apt/lists/* -# only: -# - main -# - merge_requests -# -#pages: -# stage: deploy -# image: python:latest -# script: -# - pip install mkdocs mkdocs-material mkdocstrings-python -# - mkdocs build --site-dir public -# cache: -# key: ${CI_COMMIT_REF_SLUG} -# paths: -# - .cache/ -# artifacts: -# paths: -# - public -# rules: -# - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH' \ No newline at end of file +stages: + - test + - deploy + +Run tests: + stage: test + tags: + - docker + image: ghcr.io/prefix-dev/pixi:latest + allow_failure: false + script: + - export TZ=Europe/Amsterdam + - ln -snf /usr/share/zoneinfo/$TZ /etc/localtime && echo $TZ > /etc/timezone + - apt-get update + - apt-get install -y build-essential gcc tk openjdk-17-jdk + - export JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64 + - export PATH=$JAVA_HOME/bin:$PATH + - export THERMOGIS_JAR=$CI_PROJECT_DIR/resources/thermogis_jar/thermogis-1.7.0-shaded.jar + - pixi install + - pixi run pip install pydoubletcalc --index-url https://read_pydoubletcalc:$READ_PYDOUBLETCALC@ci.tno.nl/gitlab/api/v4/projects/19719/packages/pypi/simple + - pixi run pytest -rx tests/ + - rm -rf /var/lib/apt/lists/* + only: + - main + - merge_requests + +pages: + stage: deploy + image: python:latest + script: + - pip install mkdocs mkdocs-material mkdocstrings-python + - mkdocs build --site-dir public + cache: + key: ${CI_COMMIT_REF_SLUG} + paths: + - .cache/ + artifacts: + paths: + - public + rules: + - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH' \ No newline at end of file -- GitLab From 7bb2a3b8239c06e6ed61a9336adfe2edf76fff02 Mon Sep 17 00:00:00 2001 From: bretth Date: Wed, 3 Dec 2025 09:42:57 +0100 Subject: [PATCH 52/73] Enabling the pipeline to read from the pydoubletcalc package registry --- .gitlab-ci.yml | 2 +- pyproject.toml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 9cce8a4..3eab701 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -17,7 +17,7 @@ Run tests: - export PATH=$JAVA_HOME/bin:$PATH - export THERMOGIS_JAR=$CI_PROJECT_DIR/resources/thermogis_jar/thermogis-1.7.0-shaded.jar - pixi install - - pixi run pip install pydoubletcalc --index-url https://read_pydoubletcalc:$READ_PYDOUBLETCALC@ci.tno.nl/gitlab/api/v4/projects/19719/packages/pypi/simple + - pixi run pip install pydoubletcalc --index-url https://ci.tno.nl/gitlab/api/v4/projects/19719/packages/pypi/simple/pydoubletcalc - pixi run pytest -rx tests/ - rm -rf /var/lib/apt/lists/* only: diff --git a/pyproject.toml b/pyproject.toml index 588231b..4352f1b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -38,7 +38,7 @@ package-dir = {"" = "src"} [tool.pixi.project] channels = ["conda-forge"] -platforms = ["win-64", "linux-64"] +workspace = ["win-64", "linux-64"] [tool.pixi.pypi-dependencies] pythermogis = { path = ".", editable = true } -- GitLab From f826742cc3c15c585db73eec7eb5256e3f381585 Mon Sep 17 00:00:00 2001 From: bretth Date: Wed, 3 Dec 2025 09:52:28 +0100 Subject: [PATCH 53/73] Enabling the pipeline to read from the pydoubletcalc package registry --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 4352f1b..588231b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -38,7 +38,7 @@ package-dir = {"" = "src"} [tool.pixi.project] channels = ["conda-forge"] -workspace = ["win-64", "linux-64"] +platforms = ["win-64", "linux-64"] [tool.pixi.pypi-dependencies] pythermogis = { path = ".", editable = true } -- GitLab From 5b84a33db89cc4d904fdb4d60a7080f8f499be84 Mon Sep 17 00:00:00 2001 From: bretth Date: Wed, 3 Dec 2025 10:01:33 +0100 Subject: [PATCH 54/73] Enabling the pipeline to read from the pydoubletcalc package registry --- .gitlab-ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 3eab701..9cce8a4 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -17,7 +17,7 @@ Run tests: - export PATH=$JAVA_HOME/bin:$PATH - export THERMOGIS_JAR=$CI_PROJECT_DIR/resources/thermogis_jar/thermogis-1.7.0-shaded.jar - pixi install - - pixi run pip install pydoubletcalc --index-url https://ci.tno.nl/gitlab/api/v4/projects/19719/packages/pypi/simple/pydoubletcalc + - pixi run pip install pydoubletcalc --index-url https://read_pydoubletcalc:$READ_PYDOUBLETCALC@ci.tno.nl/gitlab/api/v4/projects/19719/packages/pypi/simple - pixi run pytest -rx tests/ - rm -rf /var/lib/apt/lists/* only: -- GitLab From 660ee466e74f560549040808671f92621d215135 Mon Sep 17 00:00:00 2001 From: bretth Date: Wed, 3 Dec 2025 10:08:27 +0100 Subject: [PATCH 55/73] Enabling the pipeline to read from the pydoubletcalc package registry --- .gitlab-ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 9cce8a4..e61c1f5 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -17,7 +17,7 @@ Run tests: - export PATH=$JAVA_HOME/bin:$PATH - export THERMOGIS_JAR=$CI_PROJECT_DIR/resources/thermogis_jar/thermogis-1.7.0-shaded.jar - pixi install - - pixi run pip install pydoubletcalc --index-url https://read_pydoubletcalc:$READ_PYDOUBLETCALC@ci.tno.nl/gitlab/api/v4/projects/19719/packages/pypi/simple + - pixi run pip install pydoubletcalc --index-url https://gitlab-ci-token:$PYDOUBLETCALC_READ@ci.tno.nl/gitlab/api/v4/projects/19719/packages/pypi/simple - pixi run pytest -rx tests/ - rm -rf /var/lib/apt/lists/* only: -- GitLab From cc7ad724f1895cbd3364eed5736912295c4a0ef6 Mon Sep 17 00:00:00 2001 From: bretth Date: Wed, 3 Dec 2025 10:13:42 +0100 Subject: [PATCH 56/73] Enabling the pipeline to read from the pydoubletcalc package registry --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 588231b..281dff8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -36,7 +36,7 @@ markers = [ [tool.setuptools] package-dir = {"" = "src"} -[tool.pixi.project] +[tool.pixi.workspace] channels = ["conda-forge"] platforms = ["win-64", "linux-64"] -- GitLab From 6e25bbbeff7c5f26de5e14b9a6d0ada306851951 Mon Sep 17 00:00:00 2001 From: bretth Date: Wed, 3 Dec 2025 10:19:10 +0100 Subject: [PATCH 57/73] Fixing imports of timer --- src/pythermogis/workflow/utc/doublet.py | 2 +- src/pythermogis/workflow/utc/doubletcalc.py | 2 -- src/pythermogis/workflow/utc/flow.py | 3 --- 3 files changed, 1 insertion(+), 6 deletions(-) diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index 6447ba5..71debd9 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -2,8 +2,8 @@ import timeit from dataclasses import dataclass import numpy as np -from utils.timer import print_time +from pythermogis.utils.timer import print_time from pythermogis.workflow.utc.cooling_temp import calculate_cooling_temperature from pythermogis.workflow.utc.doublet_utils import ( calc_lifetime, diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index d3bc144..548a168 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -1,11 +1,9 @@ import math -import timeit from dataclasses import dataclass from pythermogis.workflow.utc.utc_properties import UTCConfiguration from pydoubletcalc import Aquifer, Doublet, Well, WellPipeSegment from pythermogis.workflow.utc.water import get_salinity from pythermogis.workflow.utc.rock import get_geothermal_gradient -from utils.timer import print_time from numba import njit INCH_SI = 0.0254 diff --git a/src/pythermogis/workflow/utc/flow.py b/src/pythermogis/workflow/utc/flow.py index 6a90529..97411a1 100644 --- a/src/pythermogis/workflow/utc/flow.py +++ b/src/pythermogis/workflow/utc/flow.py @@ -1,12 +1,9 @@ from dataclasses import dataclass -import timeit - import numpy as np from pythermogis.workflow.utc.heatpump import calculate_heat_pump_performance from pythermogis.workflow.utc.doublet_utils import get_orc_efficiency from pythermogis.workflow.utc.doubletcalc import doubletcalc -from utils.timer import print_time @dataclass -- GitLab From ded7d9b69cb59a0b266af0d42353309fc75cf722 Mon Sep 17 00:00:00 2001 From: bretth Date: Wed, 3 Dec 2025 10:24:46 +0100 Subject: [PATCH 58/73] Fixing imports for pipeline --- src/pythermogis/workflow/utc/cooling_temp.py | 2 +- src/pythermogis/workflow/utc/well_distance.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/src/pythermogis/workflow/utc/cooling_temp.py b/src/pythermogis/workflow/utc/cooling_temp.py index d50f7f0..bd62df8 100644 --- a/src/pythermogis/workflow/utc/cooling_temp.py +++ b/src/pythermogis/workflow/utc/cooling_temp.py @@ -1,5 +1,5 @@ from pythermogis.workflow.utc.flow import calculate_volumetric_flow -from workflow.utc.doublet_utils import calc_lifetime +from pythermogis.workflow.utc.doublet_utils import calc_lifetime def calculate_cooling_temperature( diff --git a/src/pythermogis/workflow/utc/well_distance.py b/src/pythermogis/workflow/utc/well_distance.py index 6ddc0a4..0b9be4e 100644 --- a/src/pythermogis/workflow/utc/well_distance.py +++ b/src/pythermogis/workflow/utc/well_distance.py @@ -1,5 +1,5 @@ import numpy as np -from scipy.optimize import brenth, brentq +from scipy.optimize import brentq from pythermogis.workflow.utc.doublet_utils import calc_lifetime from pythermogis.workflow.utc.flow import calculate_volumetric_flow -- GitLab From 06b82bd4a64028ad841db280dd9676b142cb68a4 Mon Sep 17 00:00:00 2001 From: bretth Date: Wed, 3 Dec 2025 10:27:30 +0100 Subject: [PATCH 59/73] Fixing imports for pipeline --- src/pythermogis/thermogis_classes/doublet.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/src/pythermogis/thermogis_classes/doublet.py b/src/pythermogis/thermogis_classes/doublet.py index b38cb81..50d3163 100644 --- a/src/pythermogis/thermogis_classes/doublet.py +++ b/src/pythermogis/thermogis_classes/doublet.py @@ -2,8 +2,7 @@ import numpy as np import xarray as xr from jpype import JClass from pythermogis.workflow.utc.doublet import calculate_doublet_performance, DoubletInput, DoubletOutput - -from workflow.utc.utc_properties import UTCConfiguration +from pythermogis.workflow.utc.utc_properties import UTCConfiguration def simulate_doublet( -- GitLab From 1c19ca3071035a12b039cd867c89b6926b1059d5 Mon Sep 17 00:00:00 2001 From: bretth Date: Mon, 8 Dec 2025 15:54:33 +0100 Subject: [PATCH 60/73] Fixing the tests --- pixi.lock | 2 +- src/pythermogis/workflow/utc/doubletcalc.py | 2 +- tests/utc/test_calculate_volumetric_flow.py | 18 +++++++++--------- 3 files changed, 11 insertions(+), 11 deletions(-) diff --git a/pixi.lock b/pixi.lock index 41e6e6b..468a60a 100644 --- a/pixi.lock +++ b/pixi.lock @@ -4919,7 +4919,7 @@ packages: - pypi: ./ name: pythermogis version: 1.2.0 - sha256: f484b4cf939f0f4b0cccabf53e301e4ab4b85f1f4d96b533dbee0e63dfeb1415 + sha256: 44271718a4a84514ee6d1f6a413b57b060a4868ea6dd8fadf0e1ed09c39dfae1 requires_dist: - jpype1>=1.5.2,<2 - xarray==2024.9.0.* diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index 548a168..6e7c9b9 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -96,7 +96,7 @@ def doubletcalc( well_distance=well_distance, cooling_fraction=0.1, yearly_operating_hours=props.load_hours, - pressure_balance_tolerance=0.5, + pressure_balance_tolerance=1e-1, viscosity_mode=props.viscosity_mode, heat_exchanger_exit_temperature=injection_temp, ) diff --git a/tests/utc/test_calculate_volumetric_flow.py b/tests/utc/test_calculate_volumetric_flow.py index a6b93e3..f305972 100644 --- a/tests/utc/test_calculate_volumetric_flow.py +++ b/tests/utc/test_calculate_volumetric_flow.py @@ -20,12 +20,12 @@ def test_calculate_volumetric_flow(): ) flow_results = calculate_volumetric_flow(props, input_data, 600000, 1550, 40) - - assert np.isclose(flow_results.hp_cop, 0.0, rtol=0.01) - assert np.isclose(flow_results.hp_added_power, 0.0, rtol=0.01) - assert np.isclose(flow_results.heat_power_per_doublet, 0.027926914290870505, rtol=0.01) - assert np.isclose(flow_results.cop, 5.396068601571214, rtol=0.01) - assert np.isclose(flow_results.flowrate, 18.631507399806665, rtol=0.01) - assert np.isclose(flow_results.pump_power_required, 5.175418689587975, rtol=0.01) - assert np.isclose(flow_results.production_temp, 41.36211427733413, rtol=0.01) - assert np.isclose(flow_results.heat_power_produced[0], 0.027926914290870505, rtol=0.01) \ No newline at end of file + rtol = 0.01 + assert np.isclose(flow_results.hp_cop, 0.0, rtol=rtol) + assert np.isclose(flow_results.hp_added_power, 0.0, rtol=rtol) + assert np.isclose(flow_results.heat_power_per_doublet, 0.027926914290870505, rtol=rtol) + assert np.isclose(flow_results.cop, 5.396068601571214, rtol=rtol) + assert np.isclose(flow_results.flowrate, 18.631507399806665, rtol=rtol) + assert np.isclose(flow_results.pump_power_required, 5.175418689587975, rtol=rtol) + assert np.isclose(flow_results.production_temp, 41.36211427733413, rtol=rtol) + assert np.isclose(flow_results.heat_power_produced[0], 0.027926914290870505, rtol=rtol) \ No newline at end of file -- GitLab From 799596ae018c1916d1532debbab57791304e1cf5 Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 9 Dec 2025 08:58:47 +0100 Subject: [PATCH 61/73] Adding an extra performance test --- src/pythermogis/workflow/utc/doubletcalc.py | 2 +- tests/utc/test_doubletcalc.py | 38 ++++++++++++++++++++- 2 files changed, 38 insertions(+), 2 deletions(-) diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index 6e7c9b9..f52b39b 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -96,7 +96,7 @@ def doubletcalc( well_distance=well_distance, cooling_fraction=0.1, yearly_operating_hours=props.load_hours, - pressure_balance_tolerance=1e-1, + pressure_balance_tolerance=1e-2, viscosity_mode=props.viscosity_mode, heat_exchanger_exit_temperature=injection_temp, ) diff --git a/tests/utc/test_doubletcalc.py b/tests/utc/test_doubletcalc.py index 1f0f7a4..13191e4 100644 --- a/tests/utc/test_doubletcalc.py +++ b/tests/utc/test_doubletcalc.py @@ -2,6 +2,10 @@ from pythermogis.workflow.utc.utc_properties import UTCConfiguration from pythermogis.workflow.utc.doublet import DoubletInput from pythermogis.workflow.utc.doubletcalc import doubletcalc import numpy as np +import timeit + +from utils.timer import print_time + def test_doubletcalc(): props = UTCConfiguration() @@ -24,4 +28,36 @@ def test_doubletcalc(): assert np.isclose(results.flowrate, 18.631507399806665, rtol=0.01) assert np.isclose(results.pump_power_required, 5.175418689587975, rtol=0.01) assert np.isclose(results.production_temp, 41.36211427733413, rtol=0.01) - assert np.isclose(results.heat_power_produced[0], 0.027926914290870505, rtol=0.01) \ No newline at end of file + assert np.isclose(results.heat_power_produced[0], 0.027926914290870505, rtol=0.01) + + +def test_doubletcalc_performance(): + props = UTCConfiguration(segment_length=1) + + input_data = DoubletInput( + unknown_input_value=-999.0, + thickness=100.0, + transmissivity=17500.0, + transmissivity_with_ntg=17500.0, + ntg=1.0, + depth=2000, + porosity=0.0, + temperature=50.0, + ) + + nsims = 1000 + # one iteration to warm up the JIT compiled functions + doubletcalc(props, input_data, 600000, 1550, 40) + start = timeit.default_timer() + for _ in range(nsims): + results = doubletcalc(props, input_data, 600000, 1550, 40) + time_elapsed = timeit.default_timer() - start + print(f"{(nsims/time_elapsed):.1f} sims/s") + + rtol=0.25 + assert np.isclose(results.geothermal_powers, 0.027926914290870505, rtol=rtol) + assert np.isclose(results.cop, 5.396068601571214, rtol=rtol) + assert np.isclose(results.flowrate, 18.631507399806665, rtol=rtol) + assert np.isclose(results.pump_power_required, 5.175418689587975, rtol=rtol) + assert np.isclose(results.production_temp, 41.36211427733413, rtol=rtol) + assert np.isclose(results.heat_power_produced[0], 0.027926914290870505, rtol=rtol) \ No newline at end of file -- GitLab From 3d885b8f647e5bd52ae0f474ae0a3f9c66623832 Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 9 Dec 2025 09:08:47 +0100 Subject: [PATCH 62/73] Adding extra performance tests to compare more directly with the Java code --- tests/utc/test_doublet.py | 2 +- tests/utc/test_doubletcalc.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 785a5f4..55eb074 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -73,7 +73,7 @@ def test_calculate_doublet_performance_approximate(): result = calculate_doublet_performance(props, input_data) start = timeit.default_timer() - n_sims = 500 + n_sims = 1000 for _ in range(n_sims): result = calculate_doublet_performance(props, input_data) time_elapsed = timeit.default_timer() - start diff --git a/tests/utc/test_doubletcalc.py b/tests/utc/test_doubletcalc.py index 13191e4..24154d2 100644 --- a/tests/utc/test_doubletcalc.py +++ b/tests/utc/test_doubletcalc.py @@ -45,7 +45,7 @@ def test_doubletcalc_performance(): temperature=50.0, ) - nsims = 1000 + nsims = 10000 # one iteration to warm up the JIT compiled functions doubletcalc(props, input_data, 600000, 1550, 40) start = timeit.default_timer() -- GitLab From a1077b00f9a339d74592fc8e2f225049db09f4f7 Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 9 Dec 2025 09:12:49 +0100 Subject: [PATCH 63/73] Adding extra performance tests to compare more directly with the Java code --- src/pythermogis/workflow/utc/doubletcalc.py | 11 +++++++---- tests/utc/test_doublet.py | 2 +- tests/utc/test_doubletcalc.py | 14 ++++++++------ 3 files changed, 16 insertions(+), 11 deletions(-) diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index f52b39b..e57ad1b 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -1,10 +1,13 @@ import math from dataclasses import dataclass -from pythermogis.workflow.utc.utc_properties import UTCConfiguration + +from numba import njit from pydoubletcalc import Aquifer, Doublet, Well, WellPipeSegment -from pythermogis.workflow.utc.water import get_salinity + from pythermogis.workflow.utc.rock import get_geothermal_gradient -from numba import njit +from pythermogis.workflow.utc.utc_properties import UTCConfiguration +from pythermogis.workflow.utc.water import get_salinity + INCH_SI = 0.0254 @dataclass @@ -96,7 +99,7 @@ def doubletcalc( well_distance=well_distance, cooling_fraction=0.1, yearly_operating_hours=props.load_hours, - pressure_balance_tolerance=1e-2, + pressure_balance_tolerance=1e-1, viscosity_mode=props.viscosity_mode, heat_exchanger_exit_temperature=injection_temp, ) diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 55eb074..483a512 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -48,6 +48,7 @@ def test_calculate_doublet_performance_precise(): assert np.isclose(result.var_opex, -7.510325908660889, rtol=rtol) assert np.isclose(result.fixed_opex, -11.227973937988281, rtol=rtol) +@pytest.skip("This is for timing performance and comparing to the Java code, not needed to run on the pipeline") def test_calculate_doublet_performance_approximate(): # Arrange: instantiate default UTCConfiguration props = UTCConfiguration( @@ -81,7 +82,6 @@ def test_calculate_doublet_performance_approximate(): print(f"{n_sims} simulations took: {time_elapsed:.1f} seconds\n" f"{n_sims/time_elapsed:.1f} simulations per second") - # Assert rtol = 0.01 # accurate to 1% assert np.isclose(result.flow, 227.2757568359375, rtol=rtol) diff --git a/tests/utc/test_doubletcalc.py b/tests/utc/test_doubletcalc.py index 24154d2..9a45bbe 100644 --- a/tests/utc/test_doubletcalc.py +++ b/tests/utc/test_doubletcalc.py @@ -1,10 +1,11 @@ -from pythermogis.workflow.utc.utc_properties import UTCConfiguration -from pythermogis.workflow.utc.doublet import DoubletInput -from pythermogis.workflow.utc.doubletcalc import doubletcalc -import numpy as np import timeit -from utils.timer import print_time +import numpy as np +import pytest + +from pythermogis.workflow.utc.doublet import DoubletInput +from pythermogis.workflow.utc.doubletcalc import doubletcalc +from pythermogis.workflow.utc.utc_properties import UTCConfiguration def test_doubletcalc(): @@ -30,7 +31,7 @@ def test_doubletcalc(): assert np.isclose(results.production_temp, 41.36211427733413, rtol=0.01) assert np.isclose(results.heat_power_produced[0], 0.027926914290870505, rtol=0.01) - +@pytest.skip("This is for timing performance and comparing to the Java code, not needed to run on the pipeline") def test_doubletcalc_performance(): props = UTCConfiguration(segment_length=1) @@ -48,6 +49,7 @@ def test_doubletcalc_performance(): nsims = 10000 # one iteration to warm up the JIT compiled functions doubletcalc(props, input_data, 600000, 1550, 40) + start = timeit.default_timer() for _ in range(nsims): results = doubletcalc(props, input_data, 600000, 1550, 40) -- GitLab From 6685b4f2e20ea3287d43196358a76258f97f4167 Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 9 Dec 2025 09:22:05 +0100 Subject: [PATCH 64/73] Adding extra performance tests to compare more directly with the Java code --- tests/utc/test_doublet.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index 483a512..b48f67a 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -2,6 +2,8 @@ import timeit import numpy as np +import pytest + from pythermogis.workflow.utc.doublet import DoubletInput, calculate_doublet_performance from pythermogis.workflow.utc.utc_properties import UTCConfiguration @@ -48,7 +50,6 @@ def test_calculate_doublet_performance_precise(): assert np.isclose(result.var_opex, -7.510325908660889, rtol=rtol) assert np.isclose(result.fixed_opex, -11.227973937988281, rtol=rtol) -@pytest.skip("This is for timing performance and comparing to the Java code, not needed to run on the pipeline") def test_calculate_doublet_performance_approximate(): # Arrange: instantiate default UTCConfiguration props = UTCConfiguration( -- GitLab From 44c2a5e44b3839c0837024129ea39851746613fb Mon Sep 17 00:00:00 2001 From: bretth Date: Tue, 9 Dec 2025 09:26:11 +0100 Subject: [PATCH 65/73] Ensuring all the tests pass --- tests/utc/test_doublet.py | 1 - tests/utc/test_doubletcalc.py | 1 - 2 files changed, 2 deletions(-) diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index b48f67a..eb053e6 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -2,7 +2,6 @@ import timeit import numpy as np -import pytest from pythermogis.workflow.utc.doublet import DoubletInput, calculate_doublet_performance from pythermogis.workflow.utc.utc_properties import UTCConfiguration diff --git a/tests/utc/test_doubletcalc.py b/tests/utc/test_doubletcalc.py index 9a45bbe..e49d5d1 100644 --- a/tests/utc/test_doubletcalc.py +++ b/tests/utc/test_doubletcalc.py @@ -31,7 +31,6 @@ def test_doubletcalc(): assert np.isclose(results.production_temp, 41.36211427733413, rtol=0.01) assert np.isclose(results.heat_power_produced[0], 0.027926914290870505, rtol=0.01) -@pytest.skip("This is for timing performance and comparing to the Java code, not needed to run on the pipeline") def test_doubletcalc_performance(): props = UTCConfiguration(segment_length=1) -- GitLab From 7ccbebdb918fb4218838676801b938c91762be52 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Tue, 9 Dec 2025 10:26:09 +0100 Subject: [PATCH 66/73] klein ruffje --- pixi.lock | 75 +++++++++++++++- pyproject.toml | 2 + src/pythermogis/workflow/utc/cooling_temp.py | 12 +-- src/pythermogis/workflow/utc/doublet.py | 43 +++++---- src/pythermogis/workflow/utc/doublet_utils.py | 30 +++++-- src/pythermogis/workflow/utc/doubletcalc.py | 58 ++++++++---- src/pythermogis/workflow/utc/economics.py | 90 ++++++++++++------- src/pythermogis/workflow/utc/flow.py | 11 +-- src/pythermogis/workflow/utc/heatpump.py | 23 +++-- src/pythermogis/workflow/utc/pressure.py | 58 ++++++++---- src/pythermogis/workflow/utc/rock.py | 7 +- .../workflow/utc/utc_properties.py | 90 +++++++++++++------ src/pythermogis/workflow/utc/water.py | 43 +++++---- src/pythermogis/workflow/utc/well_distance.py | 36 ++++---- 14 files changed, 401 insertions(+), 177 deletions(-) diff --git a/pixi.lock b/pixi.lock index 468a60a..fcf6dea 100644 --- a/pixi.lock +++ b/pixi.lock @@ -206,6 +206,7 @@ environments: - 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python + - vc >=14.3,<15 + - vc14_runtime >=14.44.35208 + - ucrt >=10.0.20348.0 + license: MIT + license_family: MIT + purls: + - pkg:pypi/ruff?source=hash-mapping + size: 11874411 + timestamp: 1764866263950 - conda: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.5.21-h7ab7c64_0.conda sha256: c8b252398b502a5cc6ea506fd2fafe7e102e7c9e2ef48b7813566e8a72ce2205 md5: 28b5a7895024a754249b2ad7de372faa @@ -5616,6 +5673,22 @@ packages: - pkg:pypi/tornado?source=hash-mapping size: 878044 timestamp: 1748003914685 +- pypi: https://files.pythonhosted.org/packages/d0/30/dc54f88dd4a2b5dc8a0279bdd7270e735851848b762aeb1c1184ed1f6b14/tqdm-4.67.1-py3-none-any.whl + name: tqdm + version: 4.67.1 + sha256: 26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2 + requires_dist: + - colorama ; sys_platform == 'win32' + - pytest>=6 ; extra == 'dev' + - pytest-cov ; extra == 'dev' + - pytest-timeout ; extra == 'dev' + - pytest-asyncio>=0.24 ; extra == 'dev' + - nbval ; extra == 'dev' + - requests ; extra == 'discord' + - slack-sdk ; extra == 'slack' + - requests ; extra == 'telegram' + - ipywidgets>=6 ; extra == 'notebook' + requires_python: '>=3.7' - conda: https://conda.anaconda.org/conda-forge/noarch/twine-6.1.0-pyh29332c3_0.conda sha256: c5b373f6512b96324c9607d7d91a76bb53c1056cb1012b4f9c86900c6b7f8898 md5: d319066fad04e07a0223bf9936090161 diff --git a/pyproject.toml b/pyproject.toml index 281dff8..2eb8841 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -42,6 +42,7 @@ platforms = ["win-64", "linux-64"] [tool.pixi.pypi-dependencies] pythermogis = { path = ".", editable = true } +pydoubletcalc = { path = 'C:\Users\knappersfy\work\thermogis\pydoubletcalc', editable = true } [tool.pixi.tasks] test = "PYTHONPATH=src/pythermogis pytest -s tests/" @@ -70,6 +71,7 @@ narwhals = ">=1.43.1,<2" pre-commit = ">=4.3.0,<5" python-dotenv = ">=1.2.1,<2" numba = ">=0.62.1,<0.63" +ruff = ">=0.14.8,<0.15" [tool.ruff] line-length = 88 diff --git a/src/pythermogis/workflow/utc/cooling_temp.py b/src/pythermogis/workflow/utc/cooling_temp.py index bd62df8..7d279ff 100644 --- a/src/pythermogis/workflow/utc/cooling_temp.py +++ b/src/pythermogis/workflow/utc/cooling_temp.py @@ -1,15 +1,10 @@ -from pythermogis.workflow.utc.flow import calculate_volumetric_flow from pythermogis.workflow.utc.doublet_utils import calc_lifetime +from pythermogis.workflow.utc.flow import calculate_volumetric_flow def calculate_cooling_temperature( - props, - input, - drawdown_pressure: float, - well_distance: float, - injection_temp: float + props, input, drawdown_pressure: float, well_distance: float, injection_temp: float ) -> float: - results = calculate_volumetric_flow( props=props, input_data=input, @@ -51,7 +46,8 @@ def calculate_cooling_temperature( if (not props.is_ates) and cooling_frac > 0.3: raise RuntimeError( - f"Large cooling factor ({cooling_frac}) could result in less reliable calculation" + f"Large cooling factor ({cooling_frac}) " + f"could result in less reliable calculation" ) return cooling_frac * (input.temperature - injection_temp) diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index 71debd9..7dcc967 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -16,6 +16,7 @@ from pythermogis.workflow.utc.well_distance import optimize_well_distance EUR_PER_CT_PER_KWH = 0.36 NPV_SCALE = 1e-6 + @dataclass class DoubletInput: unknown_input_value: float @@ -32,6 +33,7 @@ class DoubletInput: DARCY_SI = 1.0e-12 / 1.01325 return self.transmissivity / self.thickness * 1e-3 * DARCY_SI + @dataclass class DoubletOutput: power: float @@ -53,7 +55,10 @@ class DoubletOutput: production_temp: float injection_temp: float -def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput, verbose: bool = False) -> DoubletOutput | None: + +def calculate_doublet_performance( + props: UTCConfiguration, input: DoubletInput, verbose: bool = False +) -> DoubletOutput | None: timer = timeit.default_timer() # determine initial well distance well_distance = ( @@ -73,8 +78,9 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput, props.hp_minimum_injection_temperature, ) else: - injection_temperature = max(input.temperature - props.max_cooling_temp_range, - props.dh_return_temp) + injection_temperature = max( + input.temperature - props.max_cooling_temp_range, props.dh_return_temp + ) timer = print_time(timer, "injection temperature: ", verbose=verbose) # calculate maximum pressure @@ -91,9 +97,8 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput, # cooling temperature and well distance optimization if props.optim_well_dist: - end_temperature_p = ( - props.optim_dist_cooling_fraction * - (input.temperature - injection_temperature) + end_temperature_p = props.optim_dist_cooling_fraction * ( + input.temperature - injection_temperature ) else: end_temperature_p = calculate_cooling_temperature( @@ -117,7 +122,10 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput, # stimulation capex stimulation_capex = ( 0.0 - if (not props.use_stimulation or input.transmissivity_with_ntg > props.stim_kh_max) + if ( + not props.use_stimulation + or input.transmissivity_with_ntg > props.stim_kh_max + ) else props.stimulation_capex ) @@ -167,7 +175,7 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput, breakthrough_years = calc_lifetime( well_distance, - input.thickness*input.ntg, + input.thickness * input.ntg, 0.001, input.porosity, flowrate, @@ -176,19 +184,21 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput, props.salinity_surface, props.salinity_gradient, props.optim_dist_cp_rock, - props.optim_dist_rho_rock + props.optim_dist_rho_rock, ) utc_cutoff = ( - props.utc_cutoff_deep if input.depth > props.utc_deep_depth else props.utc_cutoff + props.utc_cutoff_deep + if input.depth > props.utc_deep_depth + else props.utc_cutoff ) npv = ( - NPV_SCALE - * (utc_cutoff - utc_eur_ct_per_kwh) - * 3.6 - * discounted_heat_produced_p - * (1 - props.tax_rate) + NPV_SCALE + * (utc_cutoff - utc_eur_ct_per_kwh) + * 3.6 + * discounted_heat_produced_p + * (1 - props.tax_rate) ) opex_first_prod_year = total_opex_ts[props.drilling_time] print_time(timer, "economics: ", verbose=verbose) @@ -211,6 +221,5 @@ def calculate_doublet_performance(props: UTCConfiguration, input: DoubletInput, breakthrough=breakthrough_years, cooling=end_temperature_p, production_temp=production_temp, - injection_temp=injection_temperature + injection_temp=injection_temperature, ) - diff --git a/src/pythermogis/workflow/utc/doublet_utils.py b/src/pythermogis/workflow/utc/doublet_utils.py index 12ac94c..bf3200d 100644 --- a/src/pythermogis/workflow/utc/doublet_utils.py +++ b/src/pythermogis/workflow/utc/doublet_utils.py @@ -1,6 +1,14 @@ import math + from numba import njit -from pythermogis.workflow.utc.water import density, heat_capacity, get_salinity, get_hydrostatic_pressure + +from pythermogis.workflow.utc.water import ( + density, + get_hydrostatic_pressure, + get_salinity, + heat_capacity, +) + @njit def calculate_injection_temp_with_heat_pump( @@ -33,13 +41,15 @@ def calculate_injection_temp_with_heat_pump( return max( needed_injection_temp, - max(reservoir_temp - max_cooling_temp_range, hp_minimum_injection_temperature) + max(reservoir_temp - max_cooling_temp_range, hp_minimum_injection_temperature), ) + @njit def get_orc_efficiency(Tx: float, Ts: float, etarel: float) -> float: return etarel * (Tx - Ts) / (Tx + Ts + 2 * 273.1) + @njit def get_cop_carnot(eta: float, Tout: float, Tin: float) -> float: if Tout < 0.0 or Tin < 0.0: @@ -59,6 +69,7 @@ def get_cop_carnot(eta: float, Tout: float, Tin: float) -> float: return eta * (Tcond + TKELVIN) / (Tcond - Tevap) + @njit def calc_lifetime( well_distance: float, @@ -73,7 +84,6 @@ def calc_lifetime( cp_rock: float, rho_rock: float, ) -> float: - # --- Water properties at depth --- salinity = get_salinity(salinity_surface, salinity_gradient, depth) pressure = get_hydrostatic_pressure(depth) @@ -102,9 +112,10 @@ def calc_lifetime( Aseg = Aseg1 - Aseg2 Vseg = Aseg * thickness - Eseg = 1e-9 * Vseg * ( - (1 - porosity) * cp_rock * rho_rock + - porosity * cp_water * rho_water + Eseg = ( + 1e-9 + * Vseg + * ((1 - porosity) * cp_rock * rho_rock + porosity * cp_water * rho_water) ) flowseg = flowrate * 365 * 24 * dangle / math.pi @@ -120,7 +131,6 @@ def get_along_hole_length( curve_scaling_factor: float, max_true_vertical_depth_stepout_factor: float, ) -> float: - if curve_scaling_factor == 0: return true_vertical_depth @@ -134,6 +144,8 @@ def get_along_hole_length( stepout -= horizontal_distance - oblique_distance = math.sqrt(stepout**2 + true_vertical_depth**2) * curve_scaling_factor + oblique_distance = ( + math.sqrt(stepout**2 + true_vertical_depth**2) * curve_scaling_factor + ) - return oblique_distance + horizontal_distance \ No newline at end of file + return oblique_distance + horizontal_distance diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index e57ad1b..6e1194c 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -10,6 +10,7 @@ from pythermogis.workflow.utc.water import get_salinity INCH_SI = 0.0254 + @dataclass class Doublet1DResults: geothermal_powers: float @@ -19,21 +20,26 @@ class Doublet1DResults: production_temp: float heat_power_produced: list[float] + def doubletcalc( - props: UTCConfiguration, - input, - drawdown_pressure: float, - well_distance: float, - injection_temp: float, + props: UTCConfiguration, + input, + drawdown_pressure: float, + well_distance: float, + injection_temp: float, ) -> Doublet1DResults | None: aquifer = Aquifer( permeability=input.permeability, porosity=input.porosity, net_to_gross=input.ntg, thickness=input.thickness, - salinity=get_salinity(props.salinity_surface, props.salinity_gradient, input.depth), + salinity=get_salinity( + props.salinity_surface, props.salinity_gradient, input.depth + ), surface_temperature=props.surface_temperature, - geothermal_gradient=get_geothermal_gradient(input.depth, input.thickness, input.temperature, props.surface_temperature), + geothermal_gradient=get_geothermal_gradient( + input.depth, input.thickness, input.temperature, props.surface_temperature + ), rock_heat_capacity=855, rock_density=2720, thermal_conductivity=3, @@ -73,12 +79,19 @@ def doubletcalc( producer = Well( aquifer=aquifer, well_type="producer", - pipe_segments=[WellPipeSegment( - ah_depth=get_along_hole_length(input.depth, well_distance, props.well_curv_scaling, props.max_tvd_stepout_factor), - tv_depth=input.depth, - inner_diameter=props.inner_diameter * INCH_SI, - roughness=props.roughness * 1e-3 * INCH_SI - )], + pipe_segments=[ + WellPipeSegment( + ah_depth=get_along_hole_length( + input.depth, + well_distance, + props.well_curv_scaling, + props.max_tvd_stepout_factor, + ), + tv_depth=input.depth, + inner_diameter=props.inner_diameter * INCH_SI, + roughness=props.roughness * 1e-3 * INCH_SI, + ) + ], aquifer_top_depth=input.depth, pipe_scaling=0, target_segment_length=props.segment_length, @@ -117,28 +130,39 @@ def doubletcalc( flowrate=doublet.flowrate, pump_power_required=doublet.pump_power, production_temp=doublet.production_temp, - heat_power_produced=[doublet.geothermal_power,] * props.econ_lifetime_years, + heat_power_produced=[ + doublet.geothermal_power, + ] + * props.econ_lifetime_years, ) + def get_total_skin_injection(props, input): - if (not props.use_stimulation) or (input.transmissivity_with_ntg > props.stim_kh_max): + if (not props.use_stimulation) or ( + input.transmissivity_with_ntg > props.stim_kh_max + ): stim_add_skin_inj = 0.0 else: stim_add_skin_inj = props.stim_add_skin_inj() return props.skin_injector + stim_add_skin_inj + def get_total_skin_production(props, input): - if (not props.use_stimulation) or (input.transmissivity_with_ntg > props.stim_kh_max): + if (not props.use_stimulation) or ( + input.transmissivity_with_ntg > props.stim_kh_max + ): stim_add_skin_prod = 0.0 else: stim_add_skin_prod = props.stim_add_skin_prod return props.skin_producer + stim_add_skin_prod + def get_pump_production_depth(props, depth: float) -> float: return min(props.pump_depth, depth / 2) + @njit def get_along_hole_length( true_vertical_depth: float, @@ -161,4 +185,4 @@ def get_along_hole_length( oblique_distance = ( math.sqrt(stepout**2 + true_vertical_depth**2) * curve_scaling_factor ) - return oblique_distance + horizontal_distance \ No newline at end of file + return oblique_distance + horizontal_distance diff --git a/src/pythermogis/workflow/utc/economics.py b/src/pythermogis/workflow/utc/economics.py index 958f4af..82e9514 100644 --- a/src/pythermogis/workflow/utc/economics.py +++ b/src/pythermogis/workflow/utc/economics.py @@ -1,6 +1,7 @@ +from dataclasses import dataclass + import numpy as np -from dataclasses import dataclass from pythermogis.workflow.utc.doublet_utils import get_along_hole_length SECONDS_IN_YEAR = 365 * 24 * 3600 @@ -8,6 +9,7 @@ MJ_TO_GJ = 1e-3 KWH_TO_MJ = 0.36 * 1e9 HOURS_IN_YEAR = 8760 + @dataclass class CapexCalculatorResults: sum_capex: float @@ -17,16 +19,19 @@ class CapexCalculatorResults: total_opex_ts: list[float] heat_power_per_year: list[float] + @dataclass class UTCCalculatorResults: discounted_heat_produced: float utc: float + @dataclass class EconomicsResults: capex: CapexCalculatorResults utc: UTCCalculatorResults + def calculate_economics( props, input, @@ -40,8 +45,6 @@ def calculate_economics( hp_added_power: float, pump_power_required: float, ) -> EconomicsResults: - - ah_length_array = [ get_along_hole_length( true_vertical_depth=input.depth, @@ -76,6 +79,7 @@ def calculate_economics( utc=utc_results, ) + def calculate_capex( props, heat_power_produced: list[float], @@ -88,7 +92,6 @@ def calculate_capex( ah_length_array: list[float], pump_power_required: float, ) -> CapexCalculatorResults: - n_years = props.economic_lifetime heat_power_per_year = np.zeros(n_years) @@ -103,8 +106,12 @@ def calculate_capex( capex_well = calculate_capex_for_wells(props, ah_length_array, stimulation_capex) allocate_capex_for_wells(props, total_capex_ts, capex_well) - hp_added_power = get_max_hp_added_power(initial_hp_added_power, hp_added_power_years) - hp_after_hp = calculate_hp_added_power_after_heat_pump(props, hp_added_power, hp_cop) + hp_added_power = get_max_hp_added_power( + initial_hp_added_power, hp_added_power_years + ) + hp_after_hp = calculate_hp_added_power_after_heat_pump( + props, hp_added_power, hp_cop + ) installation_mw = calculate_installation_mw(shifted_heat_power, hp_added_power) total_capex_1year = calculate_total_capex_1year( @@ -150,6 +157,7 @@ def shift_time_series(series: list[float], shift: int): for i in range(shift): series[i] = 0 + def calculate_capex_for_wells(props, ah_length_array, stimulation_capex): inj_depth = ah_length_array[0] prod_depth = ah_length_array[0] @@ -161,12 +169,13 @@ def calculate_capex_for_wells(props, ah_length_array, stimulation_capex): ) return capex * props.well_cost_scaling + def calculate_well_cost(props, depth): return ( - props.well_cost_z2 * depth**2 - + props.well_cost_z * depth + props.well_cost_z2 * depth**2 + props.well_cost_z * depth ) * 1e-6 + props.well_cost_const + def allocate_capex_for_wells(props, total_capex_ts, capex_well): drilling_years = props.drilling_time yearly_cost = capex_well / max(drilling_years, 1) @@ -174,19 +183,23 @@ def allocate_capex_for_wells(props, total_capex_ts, capex_well): for y in range(drilling_years): total_capex_ts[y] += yearly_cost + def get_max_hp_added_power(initial, hp_power_years): if hp_power_years is not None: return max(hp_power_years) return initial + def calculate_hp_added_power_after_heat_pump(props, hp_added_power, hp_cop): alt_price = props.hp_alternative_heating_price return hp_added_power if alt_price < 0 else hp_added_power * (1 + 1 / (hp_cop - 1)) + def calculate_installation_mw(heat_power_produced, hp_added_power): last_val = heat_power_produced[-1] return max(last_val - hp_added_power, 0) + def calculate_total_capex_1year(props, total_capex_ts, hp_after_hp, installation_mw): last_year = max(props.drilling_time - 1, 0) @@ -195,10 +208,11 @@ def calculate_total_capex_1year(props, total_capex_ts, hp_after_hp, installation + (props.hp_capex * hp_after_hp + props.capex_variable * installation_mw) * 1e-3 ) - total_capex_ts[last_year] *= (1 + props.capex_contingency / 100) + total_capex_ts[last_year] *= 1 + props.capex_contingency / 100 return total_capex_ts[last_year] + def process_annual_data( props, heat_power_produced, @@ -215,11 +229,9 @@ def process_annual_data( season_factor_years, pump_power_required, ): - sum_capex = 0.0 for year in range(props.economic_lifetime): - # Season factor season_factor = ( season_factor_years[year] @@ -232,10 +244,7 @@ def process_annual_data( # Annual heat (GJ/yr) heat_power_per_year[year] = ( - heat_power_produced[year] - * season_factor - * SECONDS_IN_YEAR - * MJ_TO_GJ + heat_power_produced[year] * season_factor * SECONDS_IN_YEAR * MJ_TO_GJ ) sum_capex += total_capex_ts[year] @@ -270,6 +279,7 @@ def process_annual_data( return sum_capex + def calculate_variable_opex( props, season_factor, @@ -283,32 +293,46 @@ def calculate_variable_opex( ): pump_cost = ( -(pump_power * 1e3) - * SECONDS_IN_YEAR * season_factor * elec_price - / KWH_TO_MJ * 1e-6 + * SECONDS_IN_YEAR + * season_factor + * elec_price + / KWH_TO_MJ + * 1e-6 ) parasitic_cost = ( -(heat_power_produced * heat_exchanger_parasitic * 1e6) - * SECONDS_IN_YEAR * season_factor * elec_price - / KWH_TO_MJ * 1e-6 + * SECONDS_IN_YEAR + * season_factor + * elec_price + / KWH_TO_MJ + * 1e-6 ) opex_per_energy = ( -(1 / 0.36) - * props.opex_per_energy * 1e-2 - * heat_power_gj_per_year * 1e4 / 36 * 1e-6 + * props.opex_per_energy + * 1e-2 + * heat_power_gj_per_year + * 1e4 + / 36 + * 1e-6 ) heat_pump_cost = 0.0 if hp_cop != 0: heat_pump_cost = ( -(hp_after_hp * 1e6 / hp_cop) - * SECONDS_IN_YEAR * season_factor * elec_price - / KWH_TO_MJ * 1e-6 + * SECONDS_IN_YEAR + * season_factor + * elec_price + / KWH_TO_MJ + * 1e-6 ) return pump_cost + parasitic_cost + heat_pump_cost + opex_per_energy + def calculate_fixed_opex(props, hp_after_hp, installation_mw, total_capex): return ( -props.opex_base / 1e6 @@ -316,6 +340,7 @@ def calculate_fixed_opex(props, hp_after_hp, installation_mw, total_capex): - total_capex * props.opex_per_capex / 100 ) + def get_heat_exchanger_season_factor(props): return props.load_hours / HOURS_IN_YEAR @@ -326,7 +351,6 @@ def calculate_utc( total_opex_ts, total_capex, ) -> UTCCalculatorResults: - net_cash_worth_eia = calculate_net_cash_worth_eia(props, total_capex) present_value = total_capex * props.debt_equity - net_cash_worth_eia yearly_payment = calculate_payment_value(props, present_value) @@ -336,7 +360,6 @@ def calculate_utc( discounted_heat_produced = 0.0 for year in range(1, props.economic_lifetime): - inflated_opex = total_opex_ts[year] * ((1 + props.inflation) ** (year - 1)) future_value = calculate_future_value( @@ -369,11 +392,13 @@ def calculate_utc( utc=utc, ) + def calculate_net_cash_worth_eia(props, total_capex): tax_rate = props.tax_rate project_interest_rate = calculate_project_interest_rate(props) return (tax_rate * (props.ecn_eia * total_capex)) / (1 + project_interest_rate) + def calculate_payment_value(props, present_value): if props.interest_loan == 0: return 0.0 @@ -381,16 +406,21 @@ def calculate_payment_value(props, present_value): factor = (1 + props.interest_loan) ** props.economic_lifetime return (props.interest_loan / (factor - 1)) * (-(present_value * factor)) + def calculate_depreciation_cost(props, total_capex): return -(total_capex / props.economic_lifetime) + def calculate_future_value(present_value, payment, interest, year): future_value = present_value * ((1 + interest) ** (year - 1)) if payment != 0: future_value += payment * (((1 + interest) ** (year - 1)) - 1) / interest return future_value -def calculate_unit_technical_cost(props, total_capex, discounted_income, discounted_heat_produced): + +def calculate_unit_technical_cost( + props, total_capex, discounted_income, discounted_heat_produced +): if discounted_heat_produced <= 0: return 0.0 return ( @@ -398,8 +428,8 @@ def calculate_unit_technical_cost(props, total_capex, discounted_income, discoun / discounted_heat_produced ) * 1e6 + def calculate_project_interest_rate(props): - return ( - (1 - props.tax_rate) * props.interest_loan * props.debt_equity + - (1 - props.debt_equity) * props.equity_return - ) + return (1 - props.tax_rate) * props.interest_loan * props.debt_equity + ( + 1 - props.debt_equity + ) * props.equity_return diff --git a/src/pythermogis/workflow/utc/flow.py b/src/pythermogis/workflow/utc/flow.py index 97411a1..fafc33e 100644 --- a/src/pythermogis/workflow/utc/flow.py +++ b/src/pythermogis/workflow/utc/flow.py @@ -1,9 +1,10 @@ from dataclasses import dataclass + import numpy as np -from pythermogis.workflow.utc.heatpump import calculate_heat_pump_performance from pythermogis.workflow.utc.doublet_utils import get_orc_efficiency from pythermogis.workflow.utc.doubletcalc import doubletcalc +from pythermogis.workflow.utc.heatpump import calculate_heat_pump_performance @dataclass @@ -28,11 +29,7 @@ def calculate_volumetric_flow( ): for step in [0, 1e5, -1e5, 2e5, -2e5, 3e5, -3e5]: d1d_results = doubletcalc( - props, - input_data, - original_pressure + step, - well_distance, - injection_temp + props, input_data, original_pressure + step, well_distance, injection_temp ) if d1d_results is not None: break @@ -94,4 +91,4 @@ def calculate_volumetric_flow( d1d_results.pump_power_required, d1d_results.production_temp, heat_power_produced, - ) \ No newline at end of file + ) diff --git a/src/pythermogis/workflow/utc/heatpump.py b/src/pythermogis/workflow/utc/heatpump.py index 1043160..1f31362 100644 --- a/src/pythermogis/workflow/utc/heatpump.py +++ b/src/pythermogis/workflow/utc/heatpump.py @@ -1,7 +1,13 @@ from dataclasses import dataclass from pythermogis.workflow.utc.doublet_utils import get_cop_carnot -from pythermogis.workflow.utc.water import get_hydrostatic_pressure, get_salinity, density, heat_capacity +from pythermogis.workflow.utc.water import ( + density, + get_hydrostatic_pressure, + get_salinity, + heat_capacity, +) + @dataclass class HeatPumpPerformanceResults: @@ -19,7 +25,6 @@ def calculate_heat_pump_performance( ) -> HeatPumpPerformanceResults: ETA_CARNOT = 0.6 - heat_pump_start_temp = calculate_heat_pump_start_temp( props, production_temp, injection_temp ) @@ -32,9 +37,7 @@ def calculate_heat_pump_performance( input_data.depth, ) - rho_water = density( - hydrostatic_pressure, props.surface_temperature, salinity - ) + rho_water = density(hydrostatic_pressure, props.surface_temperature, salinity) cp_water = heat_capacity(hydrostatic_pressure, props.surface_temperature, salinity) @@ -55,16 +58,18 @@ def calculate_heat_pump_performance( hp_cop = get_cop_carnot(ETA_CARNOT, Tout, Tin) # calculate hp_elec_consumption - hp_elec_consumption = hp_added_power / (hp_cop -1) + hp_elec_consumption = hp_added_power / (hp_cop - 1) return HeatPumpPerformanceResults( hp_cop=hp_cop, hp_added_power=hp_added_power, - hp_elec_consumption=hp_elec_consumption + hp_elec_consumption=hp_elec_consumption, ) -def calculate_heat_pump_start_temp(props, production_temp: float, injection_temp: float) -> float: +def calculate_heat_pump_start_temp( + props, production_temp: float, injection_temp: float +) -> float: """ Python version of calculateHeatPumpStartTemp(...) """ @@ -75,4 +80,4 @@ def calculate_heat_pump_start_temp(props, production_temp: float, injection_temp delta_temp_for_hex = production_temp - props.dh_return_temp delta_temp_for_hex = max(0.0, min(delta_temp_for_hex, delta_temp_geothermal)) - return production_temp - delta_temp_for_hex \ No newline at end of file + return production_temp - delta_temp_for_hex diff --git a/src/pythermogis/workflow/utc/pressure.py b/src/pythermogis/workflow/utc/pressure.py index 40179fc..3e5ee06 100644 --- a/src/pythermogis/workflow/utc/pressure.py +++ b/src/pythermogis/workflow/utc/pressure.py @@ -1,4 +1,3 @@ - from dataclasses import dataclass from pythermogis.workflow.utc.economics import calculate_economics @@ -10,7 +9,7 @@ def calculate_max_pressure( input_data, use_olsthoorn_max_pressure: bool, well_distance: float, - injection_temp: float + injection_temp: float, ) -> float: if use_olsthoorn_max_pressure: max_pres = 0.2 * 0.1 * input_data.depth * 100000 @@ -68,6 +67,7 @@ def calculate_max_pressure( return pressure + @dataclass class PressureOptimizerResults: drawdown_pressure: float @@ -84,6 +84,7 @@ class PressureOptimizerResults: hp_added_power: float production_temp: float + def optimize_pressure( props, input, @@ -92,7 +93,6 @@ def optimize_pressure( injection_temp: float, stimulation_capex: float, ): - pres_tol = 1e-4 * drawdown_pressure pres_step = 1e1 * pres_tol @@ -114,9 +114,15 @@ def optimize_pressure( # If slope at initial pressure is positive → begin optimization if ( utc_slope( - props, input, pres_max, pres_step, - well_distance, injection_temp, stimulation_capex - ) > 0 + props, + input, + pres_max, + pres_step, + well_distance, + injection_temp, + stimulation_capex, + ) + > 0 ): while iter_count < 100 and abs(pres_max - pres_min) > pres_tol: iter_count += 1 @@ -133,12 +139,22 @@ def optimize_pressure( if flow_results is not None: utc_val = find_utc_for_pres( - props, input, pres, well_distance, injection_temp, stimulation_capex + props, + input, + pres, + well_distance, + injection_temp, + stimulation_capex, ) slope = utc_slope( - props, input, pres, pres_step, - well_distance, injection_temp, stimulation_capex + props, + input, + pres, + pres_step, + well_distance, + injection_temp, + stimulation_capex, ) if slope < utc_val * 1e-5 * 1e-2 * props.tolerance_utc_increase: @@ -186,9 +202,9 @@ def optimize_pressure( if flow_results is None or flow_results.flowrate > props.max_flow: return None - cop = ( - (flow_results.heat_power_per_doublet + flow_results.hp_elec_consumption) / - (flow_results.heat_power_per_doublet / flow_results.cop + flow_results.hp_elec_consumption) + cop = (flow_results.heat_power_per_doublet + flow_results.hp_elec_consumption) / ( + flow_results.heat_power_per_doublet / flow_results.cop + + flow_results.hp_elec_consumption ) econ = calculate_economics( @@ -232,12 +248,20 @@ def utc_slope( stimulation_capex, ): utc1 = find_utc_for_pres( - props, input, pres - pres_step / 2, - well_distance, injection_temp, stimulation_capex + props, + input, + pres - pres_step / 2, + well_distance, + injection_temp, + stimulation_capex, ) utc2 = find_utc_for_pres( - props, input, pres + pres_step / 2, - well_distance, injection_temp, stimulation_capex + props, + input, + pres + pres_step / 2, + well_distance, + injection_temp, + stimulation_capex, ) return (utc2 - utc1) / pres_step @@ -272,4 +296,4 @@ def find_utc_for_pres( pump_power_required=flow_results.pump_power_required, ) - return econ.utc.utc \ No newline at end of file + return econ.utc.utc diff --git a/src/pythermogis/workflow/utc/rock.py b/src/pythermogis/workflow/utc/rock.py index 245ef6d..6ebd2cf 100644 --- a/src/pythermogis/workflow/utc/rock.py +++ b/src/pythermogis/workflow/utc/rock.py @@ -1,7 +1,10 @@ from numba import njit + @njit -def get_geothermal_gradient(depth: float, thickness: float, temperature: float, surface_temperature: float) -> float: - d_depth = depth +0.5 * thickness +def get_geothermal_gradient( + depth: float, thickness: float, temperature: float, surface_temperature: float +) -> float: + d_depth = depth + 0.5 * thickness dt = temperature - surface_temperature return dt / d_depth diff --git a/src/pythermogis/workflow/utc/utc_properties.py b/src/pythermogis/workflow/utc/utc_properties.py index 1b4da8c..1a75ce9 100644 --- a/src/pythermogis/workflow/utc/utc_properties.py +++ b/src/pythermogis/workflow/utc/utc_properties.py @@ -1,18 +1,22 @@ from dataclasses import dataclass, field from pathlib import Path -from typing import NamedTuple, Literal +from typing import Literal, NamedTuple + class PropertyGridInfo(NamedTuple): name: str optional: bool postfix: str + class AquiferFile(NamedTuple): postfix: str newPostfix: str + ViscosityMode = Literal["kestin", "batzlewang"] + @dataclass(frozen=True) class UTCConfiguration: input_data_dir: str = "" @@ -23,36 +27,70 @@ class UTCConfiguration: check_copied_files: bool = True validate_input_grids: bool = True validate_output_grids: bool = True - aquifers: list[str] = field(default_factory=lambda: [ - "NMVFS", "NMVFV", "NMRFT", "NMRFV", "NLFFS", "NLFFD", "NLLFR", "NLLFS", "KNGLG_KNGLS", - "KNNSG", "KNNSL", "KNNSY", "KNNSB", "KNNSR", "KNNSF_KNNSP", "SLDNA", "SLDND", "RNROF", "RNSOB", - "RBMH", "RBMDU", "RBMDL", "RBMVU", "RBMVL", "RBSHN", "ROSL_ROSLU", "ROSLL", "DCH", "DCD" - ]) - property_grid_infos: list[PropertyGridInfo] = field(default_factory=lambda: [ - PropertyGridInfo("Permeability", False, "__k.zmap"), - PropertyGridInfo("PermeabilityLNSD", False, "__k_lnsd.zmap"), - PropertyGridInfo("Porosity", False, "__phi.zmap"), - PropertyGridInfo("Thickness", False, "__thick.zmap"), - PropertyGridInfo("ThicknessSD", False, "__thick_sd.zmap"), - PropertyGridInfo("Depth", False, "__top.zmap"), - PropertyGridInfo("NetToGross", False, "__ntg.zmap"), - PropertyGridInfo("Temperature", True, "__temperature.zmap"), - PropertyGridInfo("HCAccum", True, "__hc_accum.zmap"), - PropertyGridInfo("BoundaryShapefile", True, "__BoundaryShapefile.shp") - ]) - copy_aquifer_files_info: list[AquiferFile] = field(default_factory=lambda: [ - AquiferFile("__ntg_points.shp", "__ntg_points.shp"), - AquiferFile("__poro_points.shp", "__poro_points.shp"), - AquiferFile("__perm_points.shp", "__perm_points.shp"), - AquiferFile("__points_QC.shp", "__points_QC.shp") - ]) + aquifers: list[str] = field( + default_factory=lambda: [ + "NMVFS", + "NMVFV", + "NMRFT", + "NMRFV", + "NLFFS", + "NLFFD", + "NLLFR", + "NLLFS", + "KNGLG_KNGLS", + "KNNSG", + "KNNSL", + "KNNSY", + "KNNSB", + "KNNSR", + "KNNSF_KNNSP", + "SLDNA", + "SLDND", + "RNROF", + "RNSOB", + "RBMH", + "RBMDU", + "RBMDL", + "RBMVU", + "RBMVL", + "RBSHN", + "ROSL_ROSLU", + "ROSLL", + "DCH", + "DCD", + ] + ) + property_grid_infos: list[PropertyGridInfo] = field( + default_factory=lambda: [ + PropertyGridInfo("Permeability", False, "__k.zmap"), + PropertyGridInfo("PermeabilityLNSD", False, "__k_lnsd.zmap"), + PropertyGridInfo("Porosity", False, "__phi.zmap"), + PropertyGridInfo("Thickness", False, "__thick.zmap"), + PropertyGridInfo("ThicknessSD", False, "__thick_sd.zmap"), + PropertyGridInfo("Depth", False, "__top.zmap"), + PropertyGridInfo("NetToGross", False, "__ntg.zmap"), + PropertyGridInfo("Temperature", True, "__temperature.zmap"), + PropertyGridInfo("HCAccum", True, "__hc_accum.zmap"), + PropertyGridInfo("BoundaryShapefile", True, "__BoundaryShapefile.shp"), + ] + ) + copy_aquifer_files_info: list[AquiferFile] = field( + default_factory=lambda: [ + AquiferFile("__ntg_points.shp", "__ntg_points.shp"), + AquiferFile("__poro_points.shp", "__poro_points.shp"), + AquiferFile("__perm_points.shp", "__perm_points.shp"), + AquiferFile("__points_QC.shp", "__points_QC.shp"), + ] + ) scenario: str = "basecase" scen_suffix: str = "" temp_from_grid: bool = False exclude_hc_accum: bool = True use_bounding_shape: bool = False grid_ext: str = ".nc" - p_values: list[float] = field(default_factory=lambda: [10.0, 30.0, 50.0, 70.0, 90.0]) + p_values: list[float] = field( + default_factory=lambda: [10.0, 30.0, 50.0, 70.0, 90.0] + ) # temp_voxet: 'Voxet' = None surface_temperature: float = 10.0 temp_gradient: float = 31.0 @@ -155,4 +193,4 @@ class UTCConfiguration: use_orc: bool = False heat_exchanger_efficiency: float = 1.0 heat_exchanger_parasitic: float = 0.0 - heat_exchanger_basetemp: float = 10.0 \ No newline at end of file + heat_exchanger_basetemp: float = 10.0 diff --git a/src/pythermogis/workflow/utc/water.py b/src/pythermogis/workflow/utc/water.py index 87f3abd..cf16e4f 100644 --- a/src/pythermogis/workflow/utc/water.py +++ b/src/pythermogis/workflow/utc/water.py @@ -1,18 +1,24 @@ from numba import njit + @njit def get_hydrostatic_pressure(depth: float) -> float: return 9810.0 * depth + 101325.0 + @njit def get_salinity(surface_salinity: float, gradient: float, depth: float) -> float: return (surface_salinity + gradient * depth) / 1e6 -@njit -def density(P: float, T: float, S: float, - pres_input_in_bar: bool = False, - salinity_input_in_ppm: bool = False) -> float: +@njit +def density( + P: float, + T: float, + S: float, + pres_input_in_bar: bool = False, + salinity_input_in_ppm: bool = False, +) -> float: if pres_input_in_bar: P *= 1e5 # Units.BAR_SI @@ -43,23 +49,21 @@ def density(P: float, T: float, S: float, density_val = density_fresh + S * ( 0.668 + 0.44 * S - + 1e-6 * ( + + 1e-6 + * ( 300.0 * P_MPa - 2400.0 * P_MPa * S - + T * ( - 80.0 - + 3.0 * T - - 3300.0 * S - - 13.0 * P_MPa - + 47.0 * P_MPa * S - ) + + T * (80.0 + 3.0 * T - 3300.0 * S - 13.0 * P_MPa + 47.0 * P_MPa * S) ) ) return density_val * 1000.0 + @njit -def heat_capacity(P: float, T: float, S: float, salinity_input_in_ppm: bool = False) -> float: +def heat_capacity( + P: float, T: float, S: float, salinity_input_in_ppm: bool = False +) -> float: if salinity_input_in_ppm: S *= 1e-6 @@ -76,12 +80,15 @@ def heat_capacity(P: float, T: float, S: float, salinity_input_in_ppm: bool = Fa heat_capacity_val = ( (5.328 + -9.76e-2 * S_g_per_kg + 4.04e-4 * S_g_per_kg * S_g_per_kg) + (-6.913e-3 + 7.351e-4 * S_g_per_kg - 3.15e-6 * S_g_per_kg * S_g_per_kg) * T_K - + (9.6e-6 - 1.927e-6 * S_g_per_kg + 8.23e-9 * S_g_per_kg * S_g_per_kg) * T_K * T_K - + (2.5e-9 + 1.666e-9 * S_g_per_kg - 7.125e-12 * S_g_per_kg * S_g_per_kg) * T_K * T_K * T_K + + (9.6e-6 - 1.927e-6 * S_g_per_kg + 8.23e-9 * S_g_per_kg * S_g_per_kg) + * T_K + * T_K + + (2.5e-9 + 1.666e-9 * S_g_per_kg - 7.125e-12 * S_g_per_kg * S_g_per_kg) + * T_K + * T_K + * T_K ) return heat_capacity_val * 1e3 -@njit -def get_salinity(surface_salinity, gradient, depth): - return (surface_salinity + gradient * depth) / 1e6 \ No newline at end of file + diff --git a/src/pythermogis/workflow/utc/well_distance.py b/src/pythermogis/workflow/utc/well_distance.py index 0b9be4e..1f09a68 100644 --- a/src/pythermogis/workflow/utc/well_distance.py +++ b/src/pythermogis/workflow/utc/well_distance.py @@ -32,7 +32,7 @@ def optimize_well_distance_original( dist_max = props.optim_dist_well_dist_max well_distance = np.mean([dist_min, dist_max]) - for iter_count in range(1000): + for _iter_count in range(1000): if abs(dist_max - dist_min) <= 10.0: return well_distance well_distance = np.mean([dist_min, dist_max]) @@ -69,7 +69,8 @@ def optimize_well_distance_original( # If no convergence in 1000 iterations else: print( - f"WARNING: Well distance optimization failed to converge. Final dist={well_distance}" + f"WARNING: Well distance optimization failed to converge." + f" Final dist={well_distance}" ) return well_distance @@ -88,19 +89,22 @@ def f1( ) # --- Compute lifetime for this distance --- - return calc_lifetime( - well_distance=well_distance, - thickness=input.thickness * input.ntg, - delta_temp_fraction=props.optim_dist_cooling_fraction, - porosity=input.porosity, - flowrate=min(results.flowrate, props.max_flow), - depth=input.depth, - reservoir_temp=input.temperature, - salinity_surface=props.salinity_surface, - salinity_gradient=props.salinity_gradient, - cp_rock=props.optim_dist_cp_rock, - rho_rock=props.optim_dist_rho_rock, - ) - props.optim_dist_lifetime + return ( + calc_lifetime( + well_distance=well_distance, + thickness=input.thickness * input.ntg, + delta_temp_fraction=props.optim_dist_cooling_fraction, + porosity=input.porosity, + flowrate=min(results.flowrate, props.max_flow), + depth=input.depth, + reservoir_temp=input.temperature, + salinity_surface=props.salinity_surface, + salinity_gradient=props.salinity_gradient, + cp_rock=props.optim_dist_cp_rock, + rho_rock=props.optim_dist_rho_rock, + ) + - props.optim_dist_lifetime + ) def optimize_well_distance( @@ -119,4 +123,4 @@ def optimize_well_distance( maxiter=100, args=(props, input, drawdown_pressure, injection_temp), ) - return well_distance \ No newline at end of file + return well_distance -- GitLab From 4da1bf49323b1ab06f944cff6b29bc6ebdc2190a Mon Sep 17 00:00:00 2001 From: knappersfy Date: Tue, 9 Dec 2025 10:28:36 +0100 Subject: [PATCH 67/73] fix pydoubletcalc --- pyproject.toml | 1 - 1 file changed, 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 2eb8841..b0c22a3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -42,7 +42,6 @@ platforms = ["win-64", "linux-64"] [tool.pixi.pypi-dependencies] pythermogis = { path = ".", editable = true } -pydoubletcalc = { path = 'C:\Users\knappersfy\work\thermogis\pydoubletcalc', editable = true } [tool.pixi.tasks] test = "PYTHONPATH=src/pythermogis pytest -s tests/" -- GitLab From 843524b7abbcc714dbeb48777d6536d307fc4d48 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Tue, 9 Dec 2025 13:36:17 +0100 Subject: [PATCH 68/73] addded typehints to all utc code --- pixi.lock | 4 +- pyproject.toml | 1 + src/pythermogis/workflow/utc/cooling_temp.py | 14 +- src/pythermogis/workflow/utc/doubletcalc.py | 19 ++- src/pythermogis/workflow/utc/economics.py | 129 +++++++++++------- src/pythermogis/workflow/utc/flow.py | 13 +- src/pythermogis/workflow/utc/heatpump.py | 13 +- src/pythermogis/workflow/utc/pressure.py | 47 ++++--- src/pythermogis/workflow/utc/water.py | 2 - src/pythermogis/workflow/utc/well_distance.py | 22 ++- tests/utc/test_doublet.py | 46 +++++++ 11 files changed, 219 insertions(+), 91 deletions(-) diff --git a/pixi.lock b/pixi.lock index fcf6dea..e0f720c 100644 --- a/pixi.lock +++ b/pixi.lock @@ -4766,8 +4766,8 @@ packages: timestamp: 1733195786147 - pypi: C:/Users/knappersfy/work/thermogis/pydoubletcalc name: pydoubletcalc - version: 0.0.2 - sha256: 89fbb20be0f5da6d0e8e543b9160e4ac3aef8369557ca71ae4a96086f521145e + version: 0.0.3 + sha256: a391e31a4d31cad94ef6af7520fb9418f2c7f1741fa28384734097c9fda1b1fd requires_dist: - pandas - matplotlib diff --git a/pyproject.toml b/pyproject.toml index b0c22a3..2eb8841 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -42,6 +42,7 @@ platforms = ["win-64", "linux-64"] [tool.pixi.pypi-dependencies] pythermogis = { path = ".", editable = true } +pydoubletcalc = { path = 'C:\Users\knappersfy\work\thermogis\pydoubletcalc', editable = true } [tool.pixi.tasks] test = "PYTHONPATH=src/pythermogis pytest -s tests/" diff --git a/src/pythermogis/workflow/utc/cooling_temp.py b/src/pythermogis/workflow/utc/cooling_temp.py index 7d279ff..cca4291 100644 --- a/src/pythermogis/workflow/utc/cooling_temp.py +++ b/src/pythermogis/workflow/utc/cooling_temp.py @@ -1,9 +1,21 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING + from pythermogis.workflow.utc.doublet_utils import calc_lifetime from pythermogis.workflow.utc.flow import calculate_volumetric_flow +if TYPE_CHECKING: + from pythermogis.workflow.utc.doublet import DoubletInput + from pythermogis.workflow.utc.utc_properties import UTCConfiguration + def calculate_cooling_temperature( - props, input, drawdown_pressure: float, well_distance: float, injection_temp: float + props: UTCConfiguration, + input: DoubletInput, + drawdown_pressure: float, + well_distance: float, + injection_temp: float, ) -> float: results = calculate_volumetric_flow( props=props, diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index 6e1194c..cf9f7c2 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -1,13 +1,20 @@ +from __future__ import annotations + import math from dataclasses import dataclass +from typing import TYPE_CHECKING from numba import njit from pydoubletcalc import Aquifer, Doublet, Well, WellPipeSegment from pythermogis.workflow.utc.rock import get_geothermal_gradient -from pythermogis.workflow.utc.utc_properties import UTCConfiguration from pythermogis.workflow.utc.water import get_salinity +if TYPE_CHECKING: + from pythermogis.workflow.utc.doublet import DoubletInput + from pythermogis.workflow.utc.utc_properties import UTCConfiguration + + INCH_SI = 0.0254 @@ -23,7 +30,7 @@ class Doublet1DResults: def doubletcalc( props: UTCConfiguration, - input, + input: DoubletInput, drawdown_pressure: float, well_distance: float, injection_temp: float, @@ -137,18 +144,18 @@ def doubletcalc( ) -def get_total_skin_injection(props, input): +def get_total_skin_injection(props: UTCConfiguration, input: DoubletInput) -> float: if (not props.use_stimulation) or ( input.transmissivity_with_ntg > props.stim_kh_max ): stim_add_skin_inj = 0.0 else: - stim_add_skin_inj = props.stim_add_skin_inj() + stim_add_skin_inj = props.stim_add_skin_inj return props.skin_injector + stim_add_skin_inj -def get_total_skin_production(props, input): +def get_total_skin_production(props: UTCConfiguration, input: DoubletInput): if (not props.use_stimulation) or ( input.transmissivity_with_ntg > props.stim_kh_max ): @@ -159,7 +166,7 @@ def get_total_skin_production(props, input): return props.skin_producer + stim_add_skin_prod -def get_pump_production_depth(props, depth: float) -> float: +def get_pump_production_depth(props: UTCConfiguration, depth: float) -> float: return min(props.pump_depth, depth / 2) diff --git a/src/pythermogis/workflow/utc/economics.py b/src/pythermogis/workflow/utc/economics.py index 82e9514..17d82c9 100644 --- a/src/pythermogis/workflow/utc/economics.py +++ b/src/pythermogis/workflow/utc/economics.py @@ -1,9 +1,17 @@ +from __future__ import annotations + from dataclasses import dataclass +from typing import TYPE_CHECKING import numpy as np +from numpy.typing import NDArray from pythermogis.workflow.utc.doublet_utils import get_along_hole_length +if TYPE_CHECKING: + from pythermogis.workflow.utc.doublet import DoubletInput + from pythermogis.workflow.utc.utc_properties import UTCConfiguration + SECONDS_IN_YEAR = 365 * 24 * 3600 MJ_TO_GJ = 1e-3 KWH_TO_MJ = 0.36 * 1e9 @@ -33,8 +41,8 @@ class EconomicsResults: def calculate_economics( - props, - input, + props: UTCConfiguration, + input: DoubletInput, well_distance: float, heat_power_produced: list[float], stimulation_capex: float, @@ -81,7 +89,7 @@ def calculate_economics( def calculate_capex( - props, + props: UTCConfiguration, heat_power_produced: list[float], stimulation_capex: float, hp_cop: float, @@ -147,7 +155,7 @@ def calculate_capex( ) -def shift_time_series(series: list[float], shift: int): +def shift_time_series(series: list[float], shift: int) -> None: n = len(series) if shift <= 0 or shift >= n: for i in range(n): @@ -158,7 +166,9 @@ def shift_time_series(series: list[float], shift: int): series[i] = 0 -def calculate_capex_for_wells(props, ah_length_array, stimulation_capex): +def calculate_capex_for_wells( + props: UTCConfiguration, ah_length_array: list[float], stimulation_capex: float +) -> float: inj_depth = ah_length_array[0] prod_depth = ah_length_array[0] @@ -170,13 +180,15 @@ def calculate_capex_for_wells(props, ah_length_array, stimulation_capex): return capex * props.well_cost_scaling -def calculate_well_cost(props, depth): +def calculate_well_cost(props: UTCConfiguration, depth: float) -> float: return ( props.well_cost_z2 * depth**2 + props.well_cost_z * depth ) * 1e-6 + props.well_cost_const -def allocate_capex_for_wells(props, total_capex_ts, capex_well): +def allocate_capex_for_wells( + props: UTCConfiguration, total_capex_ts: NDArray[np.float64], capex_well: float +): drilling_years = props.drilling_time yearly_cost = capex_well / max(drilling_years, 1) @@ -184,23 +196,32 @@ def allocate_capex_for_wells(props, total_capex_ts, capex_well): total_capex_ts[y] += yearly_cost -def get_max_hp_added_power(initial, hp_power_years): +def get_max_hp_added_power(initial: float, hp_power_years: list[float] | None) -> float: if hp_power_years is not None: return max(hp_power_years) return initial -def calculate_hp_added_power_after_heat_pump(props, hp_added_power, hp_cop): +def calculate_hp_added_power_after_heat_pump( + props: UTCConfiguration, hp_added_power: float, hp_cop: float +) -> float: alt_price = props.hp_alternative_heating_price return hp_added_power if alt_price < 0 else hp_added_power * (1 + 1 / (hp_cop - 1)) -def calculate_installation_mw(heat_power_produced, hp_added_power): +def calculate_installation_mw( + heat_power_produced: list[float], hp_added_power: float +) -> float: last_val = heat_power_produced[-1] return max(last_val - hp_added_power, 0) -def calculate_total_capex_1year(props, total_capex_ts, hp_after_hp, installation_mw): +def calculate_total_capex_1year( + props: UTCConfiguration, + total_capex_ts: NDArray[np.float64], + hp_after_hp: float, + installation_mw: float, +) -> float: last_year = max(props.drilling_time - 1, 0) total_capex_ts[last_year] += ( @@ -214,21 +235,21 @@ def calculate_total_capex_1year(props, total_capex_ts, hp_after_hp, installation def process_annual_data( - props, - heat_power_produced, - total_capex_ts, - heat_power_per_year, - variable_opex, - fixed_opex, - total_opex_ts, - total_capex_1year, - installation_mw, - hp_after_hp, - hp_cop, - hp_cop_years, - season_factor_years, - pump_power_required, -): + props: UTCConfiguration, + heat_power_produced: list[float], + total_capex_ts: NDArray[np.float64], + heat_power_per_year: NDArray[np.float64], + variable_opex: NDArray[np.float64], + fixed_opex: NDArray[np.float64], + total_opex_ts: NDArray[np.float64], + total_capex_1year: float, + installation_mw: float, + hp_after_hp: float, + hp_cop: float, + hp_cop_years: float, + season_factor_years: float, + pump_power_required: float, +) -> float: sum_capex = 0.0 for year in range(props.economic_lifetime): @@ -281,16 +302,16 @@ def process_annual_data( def calculate_variable_opex( - props, - season_factor, - elec_price, - pump_power, - heat_power_produced, - heat_exchanger_parasitic, - heat_power_gj_per_year, - hp_cop, - hp_after_hp, -): + props: UTCConfiguration, + season_factor: float, + elec_price: float, + pump_power: float, + heat_power_produced: float, + heat_exchanger_parasitic: float, + heat_power_gj_per_year: float, + hp_cop: float, + hp_after_hp: float, +) -> float: pump_cost = ( -(pump_power * 1e3) * SECONDS_IN_YEAR @@ -333,7 +354,12 @@ def calculate_variable_opex( return pump_cost + parasitic_cost + heat_pump_cost + opex_per_energy -def calculate_fixed_opex(props, hp_after_hp, installation_mw, total_capex): +def calculate_fixed_opex( + props: UTCConfiguration, + hp_after_hp: float, + installation_mw: float, + total_capex: float, +) -> float: return ( -props.opex_base / 1e6 - (props.hp_opex * hp_after_hp + props.opex_per_power * installation_mw) * 1e-3 @@ -341,15 +367,15 @@ def calculate_fixed_opex(props, hp_after_hp, installation_mw, total_capex): ) -def get_heat_exchanger_season_factor(props): +def get_heat_exchanger_season_factor(props: UTCConfiguration) -> float: return props.load_hours / HOURS_IN_YEAR def calculate_utc( - props, - heat_power_per_year, - total_opex_ts, - total_capex, + props: UTCConfiguration, + heat_power_per_year: float, + total_opex_ts: float, + total_capex: float, ) -> UTCCalculatorResults: net_cash_worth_eia = calculate_net_cash_worth_eia(props, total_capex) present_value = total_capex * props.debt_equity - net_cash_worth_eia @@ -393,13 +419,13 @@ def calculate_utc( ) -def calculate_net_cash_worth_eia(props, total_capex): +def calculate_net_cash_worth_eia(props: UTCConfiguration, total_capex: float) -> float: tax_rate = props.tax_rate project_interest_rate = calculate_project_interest_rate(props) return (tax_rate * (props.ecn_eia * total_capex)) / (1 + project_interest_rate) -def calculate_payment_value(props, present_value): +def calculate_payment_value(props: UTCConfiguration, present_value: float) -> float: if props.interest_loan == 0: return 0.0 @@ -407,11 +433,13 @@ def calculate_payment_value(props, present_value): return (props.interest_loan / (factor - 1)) * (-(present_value * factor)) -def calculate_depreciation_cost(props, total_capex): +def calculate_depreciation_cost(props: UTCConfiguration, total_capex: float) -> float: return -(total_capex / props.economic_lifetime) -def calculate_future_value(present_value, payment, interest, year): +def calculate_future_value( + present_value: float, payment: float, interest: float, year: float +) -> float: future_value = present_value * ((1 + interest) ** (year - 1)) if payment != 0: future_value += payment * (((1 + interest) ** (year - 1)) - 1) / interest @@ -419,8 +447,11 @@ def calculate_future_value(present_value, payment, interest, year): def calculate_unit_technical_cost( - props, total_capex, discounted_income, discounted_heat_produced -): + props: UTCConfiguration, + total_capex: float, + discounted_income: float, + discounted_heat_produced: float, +) -> float: if discounted_heat_produced <= 0: return 0.0 return ( @@ -429,7 +460,7 @@ def calculate_unit_technical_cost( ) * 1e6 -def calculate_project_interest_rate(props): +def calculate_project_interest_rate(props: UTCConfiguration) -> float: return (1 - props.tax_rate) * props.interest_loan * props.debt_equity + ( 1 - props.debt_equity ) * props.equity_return diff --git a/src/pythermogis/workflow/utc/flow.py b/src/pythermogis/workflow/utc/flow.py index fafc33e..6af7099 100644 --- a/src/pythermogis/workflow/utc/flow.py +++ b/src/pythermogis/workflow/utc/flow.py @@ -1,4 +1,7 @@ +from __future__ import annotations + from dataclasses import dataclass +from typing import TYPE_CHECKING import numpy as np @@ -6,6 +9,10 @@ from pythermogis.workflow.utc.doublet_utils import get_orc_efficiency from pythermogis.workflow.utc.doubletcalc import doubletcalc from pythermogis.workflow.utc.heatpump import calculate_heat_pump_performance +if TYPE_CHECKING: + from pythermogis.workflow.utc.doublet import DoubletInput + from pythermogis.workflow.utc.utc_properties import UTCConfiguration + @dataclass class VolumetricFlowResults: @@ -21,12 +28,12 @@ class VolumetricFlowResults: def calculate_volumetric_flow( - props, - input_data, + props: UTCConfiguration, + input_data: DoubletInput, original_pressure: float, well_distance: float, injection_temp: float, -): +) -> VolumetricFlowResults: for step in [0, 1e5, -1e5, 2e5, -2e5, 3e5, -3e5]: d1d_results = doubletcalc( props, input_data, original_pressure + step, well_distance, injection_temp diff --git a/src/pythermogis/workflow/utc/heatpump.py b/src/pythermogis/workflow/utc/heatpump.py index 1f31362..37ce497 100644 --- a/src/pythermogis/workflow/utc/heatpump.py +++ b/src/pythermogis/workflow/utc/heatpump.py @@ -1,4 +1,7 @@ +from __future__ import annotations + from dataclasses import dataclass +from typing import TYPE_CHECKING from pythermogis.workflow.utc.doublet_utils import get_cop_carnot from pythermogis.workflow.utc.water import ( @@ -8,6 +11,10 @@ from pythermogis.workflow.utc.water import ( heat_capacity, ) +if TYPE_CHECKING: + from pythermogis.workflow.utc.doublet import DoubletInput + from pythermogis.workflow.utc.utc_properties import UTCConfiguration + @dataclass class HeatPumpPerformanceResults: @@ -17,8 +24,8 @@ class HeatPumpPerformanceResults: def calculate_heat_pump_performance( - props, - input_data, + props: UTCConfiguration, + input_data: DoubletInput, production_temp: float, injection_temp: float, flowrate: float, @@ -68,7 +75,7 @@ def calculate_heat_pump_performance( def calculate_heat_pump_start_temp( - props, production_temp: float, injection_temp: float + props: UTCConfiguration, production_temp: float, injection_temp: float ) -> float: """ Python version of calculateHeatPumpStartTemp(...) diff --git a/src/pythermogis/workflow/utc/pressure.py b/src/pythermogis/workflow/utc/pressure.py index 3e5ee06..54a495d 100644 --- a/src/pythermogis/workflow/utc/pressure.py +++ b/src/pythermogis/workflow/utc/pressure.py @@ -1,12 +1,19 @@ +from __future__ import annotations + from dataclasses import dataclass +from typing import TYPE_CHECKING from pythermogis.workflow.utc.economics import calculate_economics from pythermogis.workflow.utc.flow import calculate_volumetric_flow +if TYPE_CHECKING: + from pythermogis.workflow.utc.doublet import DoubletInput + from pythermogis.workflow.utc.utc_properties import UTCConfiguration + def calculate_max_pressure( - props, - input_data, + props: UTCConfiguration, + input_data: DoubletInput, use_olsthoorn_max_pressure: bool, well_distance: float, injection_temp: float, @@ -86,13 +93,13 @@ class PressureOptimizerResults: def optimize_pressure( - props, - input, + props: UTCConfiguration, + input: DoubletInput, drawdown_pressure: float, well_distance: float, injection_temp: float, stimulation_capex: float, -): +) -> PressureOptimizerResults: pres_tol = 1e-4 * drawdown_pressure pres_step = 1e1 * pres_tol @@ -239,14 +246,14 @@ def optimize_pressure( def utc_slope( - props, - input, - pres, - pres_step, - well_distance, - injection_temp, - stimulation_capex, -): + props: UTCConfiguration, + input: DoubletInput, + pres: float, + pres_step: float, + well_distance: float, + injection_temp: float, + stimulation_capex: float, +) -> float: utc1 = find_utc_for_pres( props, input, @@ -267,13 +274,13 @@ def utc_slope( def find_utc_for_pres( - props, - input, - pres, - well_distance, - injection_temp, - stimulation_capex, -): + props: UTCConfiguration, + input: DoubletInput, + pres: float, + well_distance: float, + injection_temp: float, + stimulation_capex: float, +) -> float: flow_results = calculate_volumetric_flow( props=props, input_data=input, diff --git a/src/pythermogis/workflow/utc/water.py b/src/pythermogis/workflow/utc/water.py index cf16e4f..82b5be2 100644 --- a/src/pythermogis/workflow/utc/water.py +++ b/src/pythermogis/workflow/utc/water.py @@ -90,5 +90,3 @@ def heat_capacity( ) return heat_capacity_val * 1e3 - - diff --git a/src/pythermogis/workflow/utc/well_distance.py b/src/pythermogis/workflow/utc/well_distance.py index 1f09a68..4a58527 100644 --- a/src/pythermogis/workflow/utc/well_distance.py +++ b/src/pythermogis/workflow/utc/well_distance.py @@ -1,13 +1,21 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING + import numpy as np from scipy.optimize import brentq from pythermogis.workflow.utc.doublet_utils import calc_lifetime from pythermogis.workflow.utc.flow import calculate_volumetric_flow +if TYPE_CHECKING: + from pythermogis.workflow.utc.doublet import DoubletInput + from pythermogis.workflow.utc.utc_properties import UTCConfiguration + def optimize_well_distance_original( - props, - input, + props: UTCConfiguration, + input: DoubletInput, drawdown_pressure: float, injection_temp: float, ) -> float: @@ -77,7 +85,11 @@ def optimize_well_distance_original( def f1( - well_distance, props, input, drawdown_pressure: float, injection_temp: float + well_distance: float, + props: UTCConfiguration, + input: DoubletInput, + drawdown_pressure: float, + injection_temp: float, ) -> float: # --- Compute flow for this distance --- results = calculate_volumetric_flow( @@ -108,8 +120,8 @@ def f1( def optimize_well_distance( - props, - input, + props: UTCConfiguration, + input: DoubletInput, drawdown_pressure: float, injection_temp: float, ) -> float: diff --git a/tests/utc/test_doublet.py b/tests/utc/test_doublet.py index eb053e6..e42d93a 100644 --- a/tests/utc/test_doublet.py +++ b/tests/utc/test_doublet.py @@ -93,4 +93,50 @@ def test_calculate_doublet_performance_approximate(): assert np.isclose(result.var_opex, -7.510325908660889, rtol=rtol) assert np.isclose(result.fixed_opex, -11.227973937988281, rtol=rtol) +def test_calculate_doublet_performance(): + # 85ish it/s + props = UTCConfiguration( + viscosity_mode="kestin", + dh_return_temp=40, + segment_length=1.0, + ) + warmup_input = DoubletInput( + unknown_input_value=-999.0, + thickness=100.0, + transmissivity=17500.0, + transmissivity_with_ntg=0.0, + ntg=1.0, + depth=2000.0, + porosity=0.0, + temperature=76.0, + ) + _ = calculate_doublet_performance(props, warmup_input) + + start = timeit.default_timer() + n_sims = 1000 + + for i in range(n_sims): + transmissivity = 17500.0 + (i % 10) * 5 + temp = 76.0 + (i % 5) * 0.1 + depth = 2000.0 + (i % 4) * 2 + + input_data = DoubletInput( + unknown_input_value=-999.0, + thickness=100.0, + transmissivity=transmissivity, + transmissivity_with_ntg=0.0, + ntg=1.0, + depth=depth, + porosity=0.0, + temperature=temp, + ) + + _ = calculate_doublet_performance(props, input_data) + + time_elapsed = timeit.default_timer() - start + + print( + f"{n_sims} simulations took: {time_elapsed:.1f} seconds\n" + f"{n_sims/time_elapsed:.1f} simulations per second" + ) -- GitLab From a488abc7b86470120a2cffd32e392e0a081a4601 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Tue, 9 Dec 2025 13:37:52 +0100 Subject: [PATCH 69/73] rm pydoubletcalc --- pyproject.toml | 1 - 1 file changed, 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 2eb8841..b0c22a3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -42,7 +42,6 @@ platforms = ["win-64", "linux-64"] [tool.pixi.pypi-dependencies] pythermogis = { path = ".", editable = true } -pydoubletcalc = { path = 'C:\Users\knappersfy\work\thermogis\pydoubletcalc', editable = true } [tool.pixi.tasks] test = "PYTHONPATH=src/pythermogis pytest -s tests/" -- GitLab From 7cacc5fcbdabec5943e31b1ceb2711b90519eae2 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Tue, 9 Dec 2025 14:10:44 +0100 Subject: [PATCH 70/73] more efficiency: use named tuple instead of Dataclass --- src/pythermogis/workflow/utc/doublet.py | 6 +++--- src/pythermogis/workflow/utc/doubletcalc.py | 6 ++---- src/pythermogis/workflow/utc/economics.py | 12 ++++-------- src/pythermogis/workflow/utc/flow.py | 6 ++---- src/pythermogis/workflow/utc/heatpump.py | 6 ++---- src/pythermogis/workflow/utc/pressure.py | 6 ++---- src/pythermogis/workflow/utc/utc_properties.py | 2 +- 7 files changed, 16 insertions(+), 28 deletions(-) diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index 7dcc967..43cb4ff 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -1,5 +1,6 @@ import timeit from dataclasses import dataclass +from typing import NamedTuple import numpy as np @@ -17,7 +18,7 @@ EUR_PER_CT_PER_KWH = 0.36 NPV_SCALE = 1e-6 -@dataclass +@dataclass(slots=True, frozen=True) class DoubletInput: unknown_input_value: float thickness: float @@ -34,8 +35,7 @@ class DoubletInput: return self.transmissivity / self.thickness * 1e-3 * DARCY_SI -@dataclass -class DoubletOutput: +class DoubletOutput(NamedTuple): power: float hppower: float capex: float diff --git a/src/pythermogis/workflow/utc/doubletcalc.py b/src/pythermogis/workflow/utc/doubletcalc.py index cf9f7c2..78fc61f 100644 --- a/src/pythermogis/workflow/utc/doubletcalc.py +++ b/src/pythermogis/workflow/utc/doubletcalc.py @@ -1,8 +1,7 @@ from __future__ import annotations import math -from dataclasses import dataclass -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, NamedTuple from numba import njit from pydoubletcalc import Aquifer, Doublet, Well, WellPipeSegment @@ -18,8 +17,7 @@ if TYPE_CHECKING: INCH_SI = 0.0254 -@dataclass -class Doublet1DResults: +class Doublet1DResults(NamedTuple): geothermal_powers: float cop: float flowrate: float diff --git a/src/pythermogis/workflow/utc/economics.py b/src/pythermogis/workflow/utc/economics.py index 17d82c9..c959d11 100644 --- a/src/pythermogis/workflow/utc/economics.py +++ b/src/pythermogis/workflow/utc/economics.py @@ -1,7 +1,6 @@ from __future__ import annotations -from dataclasses import dataclass -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, NamedTuple import numpy as np from numpy.typing import NDArray @@ -18,8 +17,7 @@ KWH_TO_MJ = 0.36 * 1e9 HOURS_IN_YEAR = 8760 -@dataclass -class CapexCalculatorResults: +class CapexCalculatorResults(NamedTuple): sum_capex: float total_capex: float variable_opex: list[float] @@ -28,14 +26,12 @@ class CapexCalculatorResults: heat_power_per_year: list[float] -@dataclass -class UTCCalculatorResults: +class UTCCalculatorResults(NamedTuple): discounted_heat_produced: float utc: float -@dataclass -class EconomicsResults: +class EconomicsResults(NamedTuple): capex: CapexCalculatorResults utc: UTCCalculatorResults diff --git a/src/pythermogis/workflow/utc/flow.py b/src/pythermogis/workflow/utc/flow.py index 6af7099..7fc51d2 100644 --- a/src/pythermogis/workflow/utc/flow.py +++ b/src/pythermogis/workflow/utc/flow.py @@ -1,7 +1,6 @@ from __future__ import annotations -from dataclasses import dataclass -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, NamedTuple import numpy as np @@ -14,8 +13,7 @@ if TYPE_CHECKING: from pythermogis.workflow.utc.utc_properties import UTCConfiguration -@dataclass -class VolumetricFlowResults: +class VolumetricFlowResults(NamedTuple): hp_cop: float hp_added_power: float hp_elec_consumption: float diff --git a/src/pythermogis/workflow/utc/heatpump.py b/src/pythermogis/workflow/utc/heatpump.py index 37ce497..b2d7a77 100644 --- a/src/pythermogis/workflow/utc/heatpump.py +++ b/src/pythermogis/workflow/utc/heatpump.py @@ -1,7 +1,6 @@ from __future__ import annotations -from dataclasses import dataclass -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, NamedTuple from pythermogis.workflow.utc.doublet_utils import get_cop_carnot from pythermogis.workflow.utc.water import ( @@ -16,8 +15,7 @@ if TYPE_CHECKING: from pythermogis.workflow.utc.utc_properties import UTCConfiguration -@dataclass -class HeatPumpPerformanceResults: +class HeatPumpPerformanceResults(NamedTuple): hp_cop: float hp_added_power: float hp_elec_consumption: float diff --git a/src/pythermogis/workflow/utc/pressure.py b/src/pythermogis/workflow/utc/pressure.py index 54a495d..244bab4 100644 --- a/src/pythermogis/workflow/utc/pressure.py +++ b/src/pythermogis/workflow/utc/pressure.py @@ -1,7 +1,6 @@ from __future__ import annotations -from dataclasses import dataclass -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, NamedTuple from pythermogis.workflow.utc.economics import calculate_economics from pythermogis.workflow.utc.flow import calculate_volumetric_flow @@ -75,8 +74,7 @@ def calculate_max_pressure( return pressure -@dataclass -class PressureOptimizerResults: +class PressureOptimizerResults(NamedTuple): drawdown_pressure: float flowrate: float heat_power_per_doublet: float diff --git a/src/pythermogis/workflow/utc/utc_properties.py b/src/pythermogis/workflow/utc/utc_properties.py index 1a75ce9..b9f9399 100644 --- a/src/pythermogis/workflow/utc/utc_properties.py +++ b/src/pythermogis/workflow/utc/utc_properties.py @@ -17,7 +17,7 @@ class AquiferFile(NamedTuple): ViscosityMode = Literal["kestin", "batzlewang"] -@dataclass(frozen=True) +@dataclass(slots=True, frozen=True) class UTCConfiguration: input_data_dir: str = "" results_dir: str = "" -- GitLab From c84a522c2c6058c30f7570fc0b3dd3cfb3bfe2c0 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Tue, 9 Dec 2025 15:01:43 +0100 Subject: [PATCH 71/73] numba in economics --- src/pythermogis/workflow/utc/economics.py | 152 +++++++++++++--------- 1 file changed, 94 insertions(+), 58 deletions(-) diff --git a/src/pythermogis/workflow/utc/economics.py b/src/pythermogis/workflow/utc/economics.py index c959d11..de43298 100644 --- a/src/pythermogis/workflow/utc/economics.py +++ b/src/pythermogis/workflow/utc/economics.py @@ -3,6 +3,7 @@ from __future__ import annotations from typing import TYPE_CHECKING, NamedTuple import numpy as np +from numba import njit from numpy.typing import NDArray from pythermogis.workflow.utc.doublet_utils import get_along_hole_length @@ -104,22 +105,43 @@ def calculate_capex( total_opex_ts = np.zeros(n_years) total_capex_ts = np.zeros(n_years) - shifted_heat_power = heat_power_produced.copy() + shifted_heat_power = np.array(heat_power_produced, dtype=np.float64) shift_time_series(shifted_heat_power, props.drilling_time) - capex_well = calculate_capex_for_wells(props, ah_length_array, stimulation_capex) - allocate_capex_for_wells(props, total_capex_ts, capex_well) + capex_well = calculate_capex_for_wells( + inj_depth=ah_length_array[0], + prod_depth=ah_length_array[0], + stimulation_capex=stimulation_capex, + well_cost_z2=props.well_cost_z2, + well_cost_z=props.well_cost_z, + well_cost_const=props.well_cost_const, + well_cost_scaling=props.well_cost_scaling, + ) + allocate_capex_for_wells(props.drilling_time, total_capex_ts, capex_well) - hp_added_power = get_max_hp_added_power( - initial_hp_added_power, hp_added_power_years + hp_years_arr = ( + np.array(hp_added_power_years, dtype=np.float64) + if hp_added_power_years is not None + else np.zeros(0, dtype=np.float64) ) + + hp_added_power = get_max_hp_added_power(initial_hp_added_power, hp_years_arr) hp_after_hp = calculate_hp_added_power_after_heat_pump( - props, hp_added_power, hp_cop + hp_added_power, hp_cop, props.hp_alternative_heating_price + ) + installation_mw = calculate_installation_mw( + float(shifted_heat_power[-1]), hp_added_power ) - installation_mw = calculate_installation_mw(shifted_heat_power, hp_added_power) total_capex_1year = calculate_total_capex_1year( - props, total_capex_ts, hp_after_hp, installation_mw + last_year=max(props.drilling_time - 1, 0), + total_capex_ts=total_capex_ts, + capex_const=props.capex_const, + hp_capex=props.hp_capex, + capex_variable=props.capex_variable, + capex_contingency=props.capex_contingency, + hp_after_hp=hp_after_hp, + installation_mw=installation_mw, ) sum_capex = process_annual_data( @@ -162,71 +184,84 @@ def shift_time_series(series: list[float], shift: int) -> None: series[i] = 0 +@njit def calculate_capex_for_wells( - props: UTCConfiguration, ah_length_array: list[float], stimulation_capex: float + inj_depth: float, + prod_depth: float, + stimulation_capex: float, + well_cost_z2: float, + well_cost_z: float, + well_cost_const: float, + well_cost_scaling: float, ) -> float: - inj_depth = ah_length_array[0] - prod_depth = ah_length_array[0] - capex = ( - calculate_well_cost(props, inj_depth) - + calculate_well_cost(props, prod_depth) + calculate_well_cost(well_cost_z2, well_cost_z, well_cost_const, inj_depth) + + calculate_well_cost(well_cost_z2, well_cost_z, well_cost_const, prod_depth) + stimulation_capex ) - return capex * props.well_cost_scaling + return capex * well_cost_scaling -def calculate_well_cost(props: UTCConfiguration, depth: float) -> float: - return ( - props.well_cost_z2 * depth**2 + props.well_cost_z * depth - ) * 1e-6 + props.well_cost_const +@njit +def calculate_well_cost( + well_cost_z2: float, well_cost_z: float, well_cost_const: float, depth: float +) -> float: + return (well_cost_z2 * depth**2 + well_cost_z * depth) * 1e-6 + well_cost_const +@njit def allocate_capex_for_wells( - props: UTCConfiguration, total_capex_ts: NDArray[np.float64], capex_well: float -): - drilling_years = props.drilling_time + drilling_years: int, total_capex_ts: np.ndarray, capex_well: float +) -> None: yearly_cost = capex_well / max(drilling_years, 1) - for y in range(drilling_years): total_capex_ts[y] += yearly_cost -def get_max_hp_added_power(initial: float, hp_power_years: list[float] | None) -> float: - if hp_power_years is not None: - return max(hp_power_years) - return initial +@njit +def get_max_hp_added_power(initial: float, hp_power_years: np.ndarray) -> float: + if hp_power_years.size == 0: + return initial + max_val = hp_power_years[0] + for i in range(hp_power_years.size): + if hp_power_years[i] > max_val: + max_val = hp_power_years[i] + return max_val +@njit def calculate_hp_added_power_after_heat_pump( - props: UTCConfiguration, hp_added_power: float, hp_cop: float + hp_added_power: float, hp_cop: float, hp_alternative_heating_price: float ) -> float: - alt_price = props.hp_alternative_heating_price - return hp_added_power if alt_price < 0 else hp_added_power * (1 + 1 / (hp_cop - 1)) + if hp_alternative_heating_price < 0: + return hp_added_power + return hp_added_power * (1 + 1.0 / (hp_cop - 1.0)) +@njit def calculate_installation_mw( - heat_power_produced: list[float], hp_added_power: float + last_heat_power_value: float, hp_added_power: float ) -> float: - last_val = heat_power_produced[-1] - return max(last_val - hp_added_power, 0) + diff = last_heat_power_value - hp_added_power + return diff if diff > 0 else 0.0 +@njit def calculate_total_capex_1year( - props: UTCConfiguration, - total_capex_ts: NDArray[np.float64], + last_year: int, + total_capex_ts: np.ndarray, + capex_const: float, + hp_capex: float, + capex_variable: float, + capex_contingency: float, hp_after_hp: float, installation_mw: float, ) -> float: - last_year = max(props.drilling_time - 1, 0) - total_capex_ts[last_year] += ( - props.capex_const - + (props.hp_capex * hp_after_hp + props.capex_variable * installation_mw) * 1e-3 + capex_const + (hp_capex * hp_after_hp + capex_variable * installation_mw) * 1e-3 ) - total_capex_ts[last_year] *= 1 + props.capex_contingency / 100 - + total_capex_ts[last_year] *= 1.0 + capex_contingency / 100.0 return total_capex_ts[last_year] @@ -273,7 +308,6 @@ def process_annual_data( # Variable OPEX variable_opex[year] = calculate_variable_opex( - props, season_factor, props.elec_purchase_price, pump_power_required, @@ -282,14 +316,17 @@ def process_annual_data( heat_power_per_year[year], year_hp_cop, hp_after_hp, + props.opex_per_energy, ) - # Fixed OPEX fixed_opex[year] = calculate_fixed_opex( - props, + props.opex_base, + props.hp_opex, + props.opex_per_power, hp_after_hp, installation_mw, total_capex_1year, + props.opex_per_capex, ) total_opex_ts[year] = variable_opex[year] + fixed_opex[year] @@ -297,8 +334,8 @@ def process_annual_data( return sum_capex +@njit def calculate_variable_opex( - props: UTCConfiguration, season_factor: float, elec_price: float, pump_power: float, @@ -307,6 +344,7 @@ def calculate_variable_opex( heat_power_gj_per_year: float, hp_cop: float, hp_after_hp: float, + opex_per_energy: float, ) -> float: pump_cost = ( -(pump_power * 1e3) @@ -326,14 +364,8 @@ def calculate_variable_opex( * 1e-6 ) - opex_per_energy = ( - -(1 / 0.36) - * props.opex_per_energy - * 1e-2 - * heat_power_gj_per_year - * 1e4 - / 36 - * 1e-6 + opex_energy_cost = ( + -(1 / 0.36) * opex_per_energy * 1e-2 * heat_power_gj_per_year * 1e4 / 36 * 1e-6 ) heat_pump_cost = 0.0 @@ -347,19 +379,23 @@ def calculate_variable_opex( * 1e-6 ) - return pump_cost + parasitic_cost + heat_pump_cost + opex_per_energy + return pump_cost + parasitic_cost + heat_pump_cost + opex_energy_cost +@njit def calculate_fixed_opex( - props: UTCConfiguration, + opex_base: float, + hp_opex: float, + opex_per_power: float, hp_after_hp: float, installation_mw: float, total_capex: float, + opex_per_capex: float, ) -> float: return ( - -props.opex_base / 1e6 - - (props.hp_opex * hp_after_hp + props.opex_per_power * installation_mw) * 1e-3 - - total_capex * props.opex_per_capex / 100 + -opex_base / 1e6 + - (hp_opex * hp_after_hp + opex_per_power * installation_mw) * 1e-3 + - total_capex * opex_per_capex / 100.0 ) -- GitLab From 66a171363b148616eed3e649ab85dadbd626f5cf Mon Sep 17 00:00:00 2001 From: knappersfy Date: Tue, 9 Dec 2025 15:19:31 +0100 Subject: [PATCH 72/73] start constants, and no redifining results --- src/pythermogis/workflow/utc/constants.py | 1 + src/pythermogis/workflow/utc/doublet.py | 48 ++++++++--------------- 2 files changed, 17 insertions(+), 32 deletions(-) create mode 100644 src/pythermogis/workflow/utc/constants.py diff --git a/src/pythermogis/workflow/utc/constants.py b/src/pythermogis/workflow/utc/constants.py new file mode 100644 index 0000000..5e05f1f --- /dev/null +++ b/src/pythermogis/workflow/utc/constants.py @@ -0,0 +1 @@ +DARCY_SI = 1.0e-12 / 1.01325 \ No newline at end of file diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index 43cb4ff..33d6441 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -2,8 +2,6 @@ import timeit from dataclasses import dataclass from typing import NamedTuple -import numpy as np - from pythermogis.utils.timer import print_time from pythermogis.workflow.utc.cooling_temp import calculate_cooling_temperature from pythermogis.workflow.utc.doublet_utils import ( @@ -13,6 +11,7 @@ from pythermogis.workflow.utc.doublet_utils import ( from pythermogis.workflow.utc.pressure import calculate_max_pressure, optimize_pressure from pythermogis.workflow.utc.utc_properties import UTCConfiguration from pythermogis.workflow.utc.well_distance import optimize_well_distance +from pythermogis.workflow.utc.constants import DARCY_SI EUR_PER_CT_PER_KWH = 0.36 NPV_SCALE = 1e-6 @@ -31,7 +30,6 @@ class DoubletInput: @property def permeability(self) -> float: - DARCY_SI = 1.0e-12 / 1.01325 return self.transmissivity / self.thickness * 1e-3 * DARCY_SI @@ -62,7 +60,7 @@ def calculate_doublet_performance( timer = timeit.default_timer() # determine initial well distance well_distance = ( - np.mean([props.optim_dist_well_dist_min + props.optim_dist_well_dist_max]) + (props.optim_dist_well_dist_min + props.optim_dist_well_dist_max) / 2 if props.optim_well_dist else props.default_well_distance ) @@ -142,27 +140,13 @@ def calculate_doublet_performance( if pressure_results is None: return None - # everything underneath here is fast, no point in optimizing - heat_power_per_doublet = pressure_results.heat_power_per_doublet - flowrate = pressure_results.flowrate - discounted_heat_produced_p = pressure_results.discounted_heat_produced - variable_opex = pressure_results.variable_opex - fixed_opex = pressure_results.fixed_opex - total_opex_ts = pressure_results.total_opex_ts - cop = pressure_results.cop - drawdown_pressure = pressure_results.drawdown_pressure # overwrite like Java - sum_capex = pressure_results.sum_capex - utc = pressure_results.utc - hp_added_power = pressure_results.hp_added_power - production_temp = pressure_results.production_temp - - total_variable_opex = sum(variable_opex) - total_fixed_opex = sum(fixed_opex) + total_variable_opex = sum(pressure_results.variable_opex) + total_fixed_opex = sum(pressure_results.fixed_opex) utc_eur_ct_per_kwh = ( input.unknown_input_value - if utc == input.unknown_input_value - else utc * EUR_PER_CT_PER_KWH + if pressure_results.utc == input.unknown_input_value + else pressure_results.utc * EUR_PER_CT_PER_KWH ) if abs(input.unknown_input_value) < 10: @@ -178,7 +162,7 @@ def calculate_doublet_performance( input.thickness * input.ntg, 0.001, input.porosity, - flowrate, + pressure_results.flowrate, input.depth, input.temperature, props.salinity_surface, @@ -197,29 +181,29 @@ def calculate_doublet_performance( NPV_SCALE * (utc_cutoff - utc_eur_ct_per_kwh) * 3.6 - * discounted_heat_produced_p + * pressure_results.discounted_heat_produced * (1 - props.tax_rate) ) - opex_first_prod_year = total_opex_ts[props.drilling_time] + opex_first_prod_year = pressure_results.total_opex_ts[props.drilling_time] print_time(timer, "economics: ", verbose=verbose) return DoubletOutput( - power=heat_power_per_doublet, - hppower=hp_added_power, - capex=sum_capex, + power=pressure_results.heat_power_per_doublet, + hppower=pressure_results.hp_added_power, + capex=pressure_results.sum_capex, var_opex=total_variable_opex, fixed_opex=total_fixed_opex, opex=opex_first_prod_year, utc=utc_eur_ct_per_kwh, npv=npv, - hprod=discounted_heat_produced_p, - cop=cop, + hprod=pressure_results.discounted_heat_produced, + cop=pressure_results.cop, cophp=pressure_results.heat_pump_cop, pres=drawdown_pressure / 1e5, - flow=flowrate, + flow=pressure_results.flowrate, welld=well_distance, breakthrough=breakthrough_years, cooling=end_temperature_p, - production_temp=production_temp, + production_temp=pressure_results.production_temp, injection_temp=injection_temperature, ) -- GitLab From 9b98434b1cabe38e9054081bb90f8e5051f62065 Mon Sep 17 00:00:00 2001 From: knappersfy Date: Tue, 9 Dec 2025 16:03:37 +0100 Subject: [PATCH 73/73] run ruff --- src/pythermogis/workflow/utc/constants.py | 2 +- src/pythermogis/workflow/utc/doublet.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/src/pythermogis/workflow/utc/constants.py b/src/pythermogis/workflow/utc/constants.py index 5e05f1f..23f54df 100644 --- a/src/pythermogis/workflow/utc/constants.py +++ b/src/pythermogis/workflow/utc/constants.py @@ -1 +1 @@ -DARCY_SI = 1.0e-12 / 1.01325 \ No newline at end of file +DARCY_SI = 1.0e-12 / 1.01325 diff --git a/src/pythermogis/workflow/utc/doublet.py b/src/pythermogis/workflow/utc/doublet.py index 33d6441..61ecb11 100644 --- a/src/pythermogis/workflow/utc/doublet.py +++ b/src/pythermogis/workflow/utc/doublet.py @@ -3,6 +3,7 @@ from dataclasses import dataclass from typing import NamedTuple from pythermogis.utils.timer import print_time +from pythermogis.workflow.utc.constants import DARCY_SI from pythermogis.workflow.utc.cooling_temp import calculate_cooling_temperature from pythermogis.workflow.utc.doublet_utils import ( calc_lifetime, @@ -11,7 +12,6 @@ from pythermogis.workflow.utc.doublet_utils import ( from pythermogis.workflow.utc.pressure import calculate_max_pressure, optimize_pressure from pythermogis.workflow.utc.utc_properties import UTCConfiguration from pythermogis.workflow.utc.well_distance import optimize_well_distance -from pythermogis.workflow.utc.constants import DARCY_SI EUR_PER_CT_PER_KWH = 0.36 NPV_SCALE = 1e-6 -- GitLab