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GHEDesigner is a Python package for designing ground heat exchangers (GHE) used with ground source heat pump (GSHP) systems. Compared to currently available tools such as GLHEPRO, GHEDesigner:
- is flexible. It can synthesize borehole fields that are custom fit to the user's property description,
- implements the RowWise algorithm (Spitler, et al. 2022a) for automatically placing and sizing boreholes in any land area with complex geometry,
- is highly automated. It can select library configurations or custom configurations and determine the final number and depth requirement of boreholes,
- can make automated conversion of hourly loads to an improved hybrid time step representation (Cullin and Spitler 2011), and
- is under continuing development at Oklahoma State University (OSU), Oak Ridge National Laboratory (ORNL), and the National Renewable Energy Laboratory (NREL). (GLHEPRO remains under development at OSU.)
GHEDesigner was originally funded through US Department of Energy contract DE‐AC05‐00OR22725 via a subcontract from Oak Ridge National Laboratory. The project led by Dr. Xiaobing Liu developed an online screening tool (Liu, et al. 2022) for techno-economic analysis and design of ground-source heat pump systems. The Oklahoma State University team led by Prof. Jeffrey D. Spitler was contracted to investigate fast methods for computing g-functions. An outgrowth of this research was a tool for automatically selecting and sizing borehole configurations. This tool, originally called GHEDT, is described in an MS thesis (Cook 2021). Since that time, the tool has been renamed GHEDesigner, and work has continued at Oklahoma State University, Oak Ridge National Laboratory, and the National Renewable Energy Laboratory.
Updates since Cook (2021) include:
- Development and addition of RowWise algorithm to efficiently place boreholes in the available land area.
- Extensive refactoring for creating a user-focused, stable API.
- Simplification of library dependencies.
- Development of automated testing and deployment procedures.
- Long time-step g-functions are calculated using pygfunction (Cimmino 2018) using the equivalent borehole method (Prieto and Cimmino 2021). It's also possible to read g-functions from a library (Spitler, et al. 2021).
- Borehole thermal resistance is computed for single and double U-tube configurations via the multipole method (Claesson and Hellström 2011). For coaxial ground heat exchangers, it is computed from fundamental heat transfer relationships.
- Short time-step g-functions are computed using the Xu and Spitler (2006) method.
- GHEDesigner contains a novel design methodology for automated selection of borehole fields. The advanced methodology performs optimization based on a target drilling depth. An integer bisection routine is utilized to quickly search over a uni-modal domain of boreholes. GHEDesigner can consider the available land area for drilling and no-drilling zones defined as polygons.
- GHEDesigner can synthesize a range of regularly shaped borehole configurations, including previously available
shapes (rectangles, open rectangles, L-shape, U-shape, line) and shapes not previously available (C-shapes and zoned
rectangles). More information about these shapes can be found in the documentation for a publicly available g-function
library. (Spitler, et al. 2021,
2022b) - GHEDesigner can synthesize on the fly irregularly shaped borehole configurations using the RowWise algorithm (Spitler, et al. 2022a) or the bi-uniform polygonal constrained rectangular search (BUPCRS) (Cook 2021). Both configurations are adapted to the user-specified property boundaries and no-drill zones, if any. Spitler, et al. 2022a gives an example where the RowWise algorithm saves 12-18% compared to the BUPCRS algorithm. The RowWise algorithm takes longer to run, though.
- A set of search routines can be used to size different types of configurations:
- The unconstrained square/near-square search will search a domain of square (n x n) and near-square (n-1 x n) boreholes fields, with uniform spacing between the boreholes.
- Uniform and bi-uniform constrained rectangular searches will search domains of rectangular configurations that have either uniform spacing or "bi-uniform" spacing – that is, uniform in the x direction and uniform in the y direction, but the two spacings may be different.
- The bi-uniform constrained zoned rectangular search allows for rectangular configurations with different interior and perimeter spacings.
- The bi-uniform polygonal constrained rectangular search (BUPCRS) can search configurations with an outer perimeter and no-go zones described as irregular polygons. This is still referred to as a rectangular search because it is still based on a rectangular grid, from which boreholes that are outside the perimeter or inside a no-go zone are removed.
- The RowWise method generates and searches custom borehole fields that make full use of the available property. The RowWise algorithms are described by Spitler et al. (2022a).
GHEDesigner does not have every feature that is found in a tool like GLHEPRO. Features that are currently missing include:
- Heat pumps are not modeled. Users input heat rejection/extraction rates.
- An hourly simulation is available, but it doesn't make use of load aggregation, so is very slow.
- GHEDesigner only covers vertical borehole ground heat exchangers. Horizontal ground heat exchangers are not treated.
- GHEDesigner does not calculate the head loss in the ground heat exchanger or warn the user that head loss may be excessive.
- GHEDesigner does not have a graphical user interface.
- GHEDesigner is a Python package and requires some Python knowledge to use.
GHEDesigner is supported for Python versions >= 3.9, and is tested with Python 3.9-3.12. GHEDesigner is dependent on the following packages:
- click (~=8.1)
- jsonschema (~=4.19)
- numpy (~=1.26)
- pygfunction (~=2.2)
- scipy (~=1.13)
Users - Install GHEDesigner
via the package installer for Python (pip):
pip install ghedesigner
Developers - Clone the repository via git:
git clone https://github.com/betsrg/ghedesigner
- Uv is used to manage the project & dependencies (and may be used to manage Python if you want). After cloning, ensure you have
uv installed, then run
uv sync
to install the package and all development dependencies.- Some Windows developers have reported version conflicts using the default strategy. If this occurs, consider changing the resolution strategy using
uv sync --resolution=lowest-direct
- Some Windows developers have reported version conflicts using the default strategy. If this occurs, consider changing the resolution strategy using
- Developers can then call
uv run pytest
(which may take 10-30 minutes to run the full test suite) to confirm all dev dependencies are installed and everything is working as expected. - Activate pre-commit (only required once, after cloning the repo) with:
uv run pre-commit install
. On your first commit it will install the pre-commit environments, then run pre-commit hooks at every commit. - Before pushing to Github, run pre-commit on all files with
uv run pre-commit run -a
to highlight any linting/formatting errors that will cause CI to fail. - Pycharm users may need to add Ruff as a 3rd-party plugin or install it as an external tool to their IDE to ensure linting & formatting is consistent.
- Developers can test in-process functionality by prepending
uv run
to a command. For instance, to locally replicate one of the CI checks:uv run ghedesigner demos/find_design_rectangle_single_u_tube.json ./tmp
If there are any questions, comments or concerns please create an issue, comment on an open issue, comment on a closed issue.
The initial release of this work was financially supported by the U.S. Department of Energy through research subcontracts from Oak Ridge National Laboratory and the National Renewable Energy Laboratory, and by OSU through the Center for Integrated Building Systems, the OG&E Energy Technology Chair, and Oklahoma State University via return of indirect costs to Dr. Jeffrey D. Spitler.
Cimmino, M. 2018. pygfunction: an open-source toolbox for the evaluation of thermal. eSim 2018, Montreál, IBPSA Canada. 492-501. http://www.ibpsa.org/proceedings/eSimPapers/2018/2-3-A-4.pdf
Claesson, J. and G. Hellström. 2011. Multipole method to calculate borehole thermal resistances in a borehole heat exchanger. HVAC&R Research 17(6): 895-911. https://doi.org/10.1080/10789669.2011.609927
Cook, J.C. (2021). Development of Computer Programs for Fast Computation of g-Functions and Automated Ground Heat Exchanger Design. Master's Thesis, Oklahoma State University, Stillwater, OK. https://hdl.handle.net/11244/335489
Cullin, J.R. and J.D. Spitler. 2011. A Computationally Efficient Hybrid Time Step Methodology for Simulation of Ground Heat Exchangers. Geothermics. 40(2): 144-156. https://doi.org/10.1016/j.geothermics.2011.01.001
Liu X., J. Degraw, M. Malhotra, W. Forman, M. Adams, G. Accawi, B. Brass, N. Kunwar, J. New, J. Guo. 2022. Development of a Web-based Screening Tool for Ground Source Heat Pump Applications. 2022. IGSHPA Research Conference Proceedings. Pp. 280-290. December 6-8. Las Vegas. http://dx.doi.org/10.22488/okstate.22.000042
Prieto, C. and M. Cimmino. 2021. Thermal interactions in large irregular fields of geothermal boreholes: the method of equivalent boreholes. Journal of Building Performance Simulation 14(4): 446-460. https://doi.org/10.1080/19401493.2021.1968953
Spitler, J. D., J. Cook, T. West and X. Liu 2021. G-Function Library for Modeling Vertical Bore Ground Heat Exchanger, Oak Ridge National Laboratory. https://doi.org/10.15121/1811518
Spitler, J.D., T.N. West and X. Liu. 2022a. Ground Heat Exchanger Design Tool with RowWise Placement of Boreholes. IGSHPA Research Conference Proceedings. Pp. 53-60. Las Vegas. Dec. 6-8. https://doi.org/10.22488/okstate.22.000016
Spitler, J.D., T.N. West, X. Liu and I. Borshon. 2022b. An open library of g-functions for 34,321 configurations. IGSHPA Research Conference Proceedings. Pp. 264-271. Las Vegas. Dec. 6-8 https://doi.org/10.22488/okstate.22.000040
Xu, X. and J. D. Spitler. 2006. Modelling of Vertical Ground Loop Heat Exchangers with Variable Convective Resistance and Thermal Mass of the Fluid. 10th International Conference on Thermal Energy Storage - Ecostock 2006, Pomona, NJ. https://hvac.okstate.edu/sites/default/files/pubs/papers/2006/07-Xu_Spitler_06.pdf