TNO Intern

Commit 7a3c0da1 authored by Hen Brett's avatar Hen Brett 🐔
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Merge branch 'main' into '59-experiment-with-some-speedups' 

# Conflicts:
#   src/pythermogis/thermogis_classes/doublet.py
#   tests/test_doc_examples.py
parents b2a75d31 fc3142da

.gitlab-ci.yml

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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

docs/images/leapre.jpg

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docs/index.md

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# pyThermoGIS



**pyThermoGIS** is a Python package that provides API access to the [ThermoGIS](https://www.thermogis.nl/en) doublet simulations and economic calculations,  ThermoGIS is developed and maintained by the [Geological Survey of the Netherlands](https://www.geologischedienst.nl/en/) which is part of [TNO](https://www.tno.nl/en/), additionally, pythermogis was also partially developed by and for the [GoForward](https://go-forward-project.eu/) project.

**pyThermoGIS** is a Python package that provides API access to the [ThermoGIS](https://www.thermogis.nl/en) doublet simulations and economic calculations,  ThermoGIS is developed and maintained by the [Geological Survey of the Netherlands](https://www.geologischedienst.nl/en/) which is part of [TNO](https://www.tno.nl/en/).





<div style="display: flex; gap: 10px;">
@@ -8,11 +8,20 @@ 
  <img src="../images/GeologischeDienstlogo.png" alt="Image 1" style="width: 100%; max-width: 600px; height: auto;">

</div>

<div style="display: flex; gap: 10px;">

  <img src="../images/TNOLogo.jpg" alt="Image 1" style="width: 25%; max-width: 600px; height: auto;">

  <img src="images/GO-Forward-gros_transparent.png" style="width: 90%; max-width: 600px; height: auto;">

  <img src="../images/TNOLogo.jpg" alt="Image 1" style="width: 50%; max-width: 600px; height: auto;">

</div>



pythermogis is currently used by the following research programs:



<div style="display: flex; gap: 10px;">

  <img src="images/GO-Forward-gros_transparent.png" style="width: 50%; max-width: 600px; height: auto;">

</div>

<div style="display: flex; gap: 10px;">

  <img src="images/leapre.jpg" alt="Image 1" style="width: 50%; max-width: 600px; height: auto;">

</div>



1. [GoForward](https://go-forward-project.eu/) 

2. [Geothermal Atlas for Africa](https://geothermalatlasforafrica.org/) (which is a part of the [LEAP-RE](https://www.leap-re.eu/) project).





# Usage

src/pythermogis/thermogis_classes/doublet.py

+27 −28
Original line number Diff line number Diff line
@@ -21,7 +21,7 @@ def simulate_doublet(output_data: xr.Dataset, reservoir_properties: xr.Dataset, 
                                        input_core_dims=[[], [], [], [], [], [], [], [],[]],

                                        output_core_dims=[[], [], [], [], [], [], [], [], [], [], [], [], [], []],

                                        vectorize=True,

                                        dask="parallelized")

                                        )



    # Assign output DataArrays to the output_data object

    output_data["power"] = output_data_arrays[0]
@@ -41,8 +41,7 @@ def simulate_doublet(output_data: xr.Dataset, reservoir_properties: xr.Dataset, 
    return output_data





def calculate_performance_of_single_location(mask: float, depth: float, thickness: float, porosity: float, ntg: float, temperature: float, transmissivity: float, transmissivity_with_ntg: float, rng_seed: int,

                                             utc_properties: JClass = None) -> float:

def calculate_performance_of_single_location(mask: float, depth: float, thickness: float, porosity: float, ntg: float, temperature: float, transmissivity: float, transmissivity_with_ntg: float, rng_seed: int, utc_properties: JClass = None) -> float:

    """

    Calculate the performance of a doublet at a single location.
@@ -93,11 +92,12 @@ def calculate_performance_of_single_location(mask: float, depth: float, thicknes 
    if not np.isnan(mask):

        return 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0



    # Instantiate ThermoGIS doublet

    doublet = instantiate_thermogis_doublet(utc_properties, rng_seed)

    set_doublet_parameters(doublet, transmissivity_with_ntg, depth, porosity, ntg, temperature, utc_properties)



    # The Java routine which calculates DoubletPerformance, for more detail on the simulation inspect the Java source code

    doublet.calculateDoubletPerformance(-9999.0, thickness, transmissivity)

    doublet.calculateDoubletPerformance(-9999.0, thickness, transmissivity, False)



    if doublet.getUtcPeurctkWh() == -9999.0:  # If calculation was not successful, return all 0.0

        return 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
@@ -108,24 +108,24 @@ def calculate_performance_of_single_location(mask: float, depth: float, thicknes 
    else:

        utc_cut = utc_properties.utcCutoff()



    hprod = doublet.economicalData.getDiscountedHeatProducedP()

    npv = 1e-6 * (utc_cut - doublet.getUtcPeurctkWh()) * 3.6 * hprod * (1 - doublet.economicalData.getTaxRate())

    hprod = doublet.getDiscountedHeatProducedP()

    npv = 1e-6 * (utc_cut - doublet.getUtcPeurctkWh()) * 3.6 * hprod * (1 - utc_properties.taxRate())



    # get values from doublet

    output_values = {"power": doublet.doubletCalc1DData.getHpP(),

                     "heat_pump_power": doublet.doubletCalc1DData.getHpPHeatPump(),

                     "capex": doublet.economicalData.getSumcapex(),

                     "opex": doublet.economicalData.getOpexFirstProdYear(),

    output_values = {"power": doublet.getHpP(),

                     "heat_pump_power": doublet.getHeatPowerPerDoublet(),

                     "capex": doublet.getSumcapex(),

                     "opex": doublet.getOpexFirstProdYear(),

                     "utc": doublet.getUtcPeurctkWh(),

                     "npv": npv,

                     "hprod": hprod,

                     "cop": doublet.doubletCalc1DData.getCop(),

                     "cophp": doublet.doubletCalc1DData.getCopHpP(),

                     "pres": doublet.doubletCalc1DData.getPresP() / 1e5,

                     "flow_rate": doublet.doubletCalc1DData.getFlowrate(),

                     "welld": doublet.doubletCalc1DData.getWellDistP(),

                     "inj_temp": doublet.doubletCalc1DData.getInjectionTemp(),

                     "prd_temp": doublet.doubletCalc1DData.getProductionTemp()

                     "cop": doublet.getCop(),

                     "cophp": doublet.getCopHpP(),

                     "pres": doublet.getPresP() / 1e5,

                     "flow_rate": doublet.getFlowrate(),

                     "welld": doublet.getWellDistP(),

                     "inj_temp": doublet.getInjectionTemp(),

                     "prd_temp": doublet.getProductionTemp()

                     }



    # Reset doublet variables for next calculation
@@ -166,9 +166,8 @@ def instantiate_thermogis_doublet(utc_properties, rng_seed: int = None) -> JClas 
    doublet = ThermoGISDoublet(Mockito.mock(Logger), rng, utc_properties)



    # Set parameters that do not change across simulations

    doublet.doubletCalc1DData.setSurfaceTemperature(utc_properties.surfaceTemperature())

    doublet.doubletCalc1DData.setUseHeatPump(utc_properties.useHeatPump())

    doublet.doubletCalc1DData.setDhReturnTemp(utc_properties.dhReturnTemp())

    doublet.setSurfaceTemperature(utc_properties.surfaceTemperature())

    doublet.setDhReturnTemp(utc_properties.dhReturnTemp())



    return doublet
@@ -201,15 +200,15 @@ def set_doublet_parameters(doublet, transmissivity_with_ntg: float, depth: float 
    if not utc_properties.useStimulation() or transmissivity_with_ntg > utc_properties.stimKhMax():

        doublet.setNoStimulation()



    doublet.doubletCalc1DData.setDepth(depth)

    doublet.doubletCalc1DData.setPorosity(porosity)

    doublet.doubletCalc1DData.setNtg(ntg)

    doublet.doubletCalc1DData.setReservoirTemp(temperature)

    doublet.setDepth(depth)

    doublet.setPorosity(porosity)

    doublet.setNtg(ntg)

    doublet.setReservoirTemp(temperature)



    if utc_properties.useHeatPump():

        if utc_properties.calculateCop() and not utc_properties.hpApplicationMode():

            doublet.doubletCalc1DData.setInjectionTemp(doublet.calculateInjectionTempWithHeatPump(temperature, utc_properties.hpDirectHeatInputTemp()))

            doublet.setInjectionTemp(doublet.calculateInjectionTempWithHeatPump(temperature, utc_properties.hpDirectHeatInputTemp()))

        else:

            doublet.doubletCalc1DData.setInjectionTemp(np.max([temperature - utc_properties.maxCoolingTempRange(), utc_properties.hpMinimumInjectionTemperature()]))

            doublet.setInjectionTemp(np.max([temperature - utc_properties.maxCoolingTempRange(), utc_properties.hpMinimumInjectionTemperature()]))

    else:

        doublet.doubletCalc1DData.setInjectionTemp(np.max([temperature - utc_properties.maxCoolingTempRange(), utc_properties.dhReturnTemp()]))
 
        doublet.setInjectionTemp(np.max([temperature - utc_properties.maxCoolingTempRange(), utc_properties.dhReturnTemp()]))