gwhp-analytic-optimization
Optimizing the spatial arrangement of groundwater heat pumps and their well locations
Science Score: 44.0%
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Low similarity (7.4%) to scientific vocabulary
Repository
Optimizing the spatial arrangement of groundwater heat pumps and their well locations
Basic Info
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- Stars: 2
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Metadata Files
README.md
GWHP-analytic-optimization
Supporting code for the publication: Optimizing the spatial arrangement of groundwater heat pumps and their well locations
Installation: Download all the files from the repository and place them into one folder.
The files are the following: - 'optimizationsteadycase.py': main Python script for optimizing the GWHP locations and their well layouts in the steady case. - 'optimizationdynamiccase.py': main Python script for optimizing the GWHP locations and their well layouts in the dynamic case. - 'supportfunctions.py': Python script with the implementation of supporting functions. - 'GWHPdata' : folder that contains all the required input data
Usage: 1) Install the required Python packages: "numpy", "csv" and "scipy". 2) Install Python-MIP package (https://www.python-mip.com/) and Gurobi solver (https://www.gurobi.com/documentation/quickstart.html) for the best performance. 3) Run the script 'optimizationsteadycase.py' or 'optimizationdynamiccase.py'. 4) The result files will be saved in the folder 'GWHPdata' as csv files with the ending "optimalsteady" or "optimal_dynamic".
Owner
- Name: Smajil Halilovic
- Login: SHalilovic
- Kind: user
- Company: TUM
- Repositories: 1
- Profile: https://github.com/SHalilovic
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
Optimization of GWHP well layouts using analytic
models
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Smajil
family-names: Halilovic
email: smajil.halilovic@tum.de
affiliation: Technical University of Munich
orcid: 'https://orcid.org/0000-0002-2024-8201'
- given-names: Fabian
family-names: Böttcher
email: fabian.boettcher@tum.de
affiliation: Technical University of Munich
orcid: 'https://orcid.org/0000-0003-3954-0349'
version: v1.0.0
doi: 10.5281/zenodo.7230875
date-released: 2022-10-20
url: "https://github.com/SHalilovic/GWHP-analytic-optimization"
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