BHE design and diverse operational boundary conditions such as seasonal load variations or
minimum fluid temperatures, in a tool for deterministic or stochastic performance analyses with the opportunity
for optimization of the system design and operation. This makes Geoloop ideal for scenario analyses and sensitivity
minimum fluid temperatures. It allows for deterministic or stochastic performance analyses with the opportunity
for optimization of the system design and operation. This makes Geoloop well suited for scenario analyses and sensitivity
studies in both research and practical applications.
**Geoloop** uses thermal response factors (*g*-functions) calculated using the analytical Finite Line Source model from
the *pygfunction* package. This setup is extended into a stacked approach for depth-dependent thermal response calculations.
A detailed description and benchmark of this depth-dependent semi-analytical method is provided in Korevaar & Van Wees (in prep.).
**Geoloop's** generic framework allows for easy switching between simulation methods, including the innovative depth-dependent
semi-analytical approach, the depth-uniform implementation of g-functions as implemented in *pygfunction* and a numerical
**Geoloop** provides a novel depth-dependent approach for thermal response calculations.
A detailed description and benchmark of this depth-dependent semi-analytical method is provided in Korevaar et al. (2026).
**Geoloop** uses the *pygfunction* package, developed by Cimmino & Cook (2022), including its implementation
of *g*-functions, time aggregation schemes for varying loads, borehole and fluid thermal properties, and various visualization capabilities
**Geoloop's** generic framework allows for easy switching between simulation methods, including the
depth-dependent model, the depth-uniform implementation of g-functions as implemented in *pygfunction* and a numerical
finite volume approach.
---
@@ -44,6 +46,16 @@ For the theoretical background, see the [Theory](theory/theory.md) page.
*Geoloop* was developed as part of an innovation project with industry partners (grant no. **MOOI322009**),
funded by the **Dutch Ministry of Climate and Green Growth**.
---
## References
- Cimmino, M. and Cook, J.: pygfunction 2.2: New features and improvements in accuracy and computational efficiency,
in: Proceedings of the IGSHPA Research Track 2022, International Ground Source Heat Pump Association,
https://doi.org/10.22488/okstate.22.000015, 2022.
- Korevaar, Z., Brett, H., Van Wees, J.D.: Geoloop (v1.0) – a stochastic, depth-dependent borehole heat exchanger model, Geoscientific Model Development (in prep), 2026