Python Code for Master Thesis "Comparison of different integration options for High Temperature Aquifer Thermal Energy Storage (HT-ATES) System on TU Delft Campus"
doi:10.4121/9aabc271-f602-49e2-88a9-dcbdcd616a2d.v2
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doi: 10.4121/9aabc271-f602-49e2-88a9-dcbdcd616a2d
doi: 10.4121/9aabc271-f602-49e2-88a9-dcbdcd616a2d
Datacite citation style:
Grzesiek, Paula (2024): Python Code for Master Thesis "Comparison of different integration options for High Temperature Aquifer Thermal Energy Storage (HT-ATES) System on TU Delft Campus". Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/9aabc271-f602-49e2-88a9-dcbdcd616a2d.v2
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Dataset
choose version:
version 2 - 2024-09-09 (latest)
version 1 - 2024-09-06
Code for a model on the heating system on TUD campus. The model couples a network model using the python package TESPY and a numerical model for the HT-ATES using PySeawATES. The code for three different integration options is provided. The thesis can be found on the repository of TUD.
history
- 2024-09-06 first online
- 2024-09-09 published, posted
publisher
4TU.ResearchData
format
jupyter notebook/.ipynb; script/.py; spreadsheet/.xlsx; executable/.exe
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Environmental Engineering
DATA
files (12)
- 1,371 bytesMD5:
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README.txt - 20,971 bytesMD5:
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agent_functions.py - 159,151 bytesMD5:
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base_design.ipynb - 588,556 bytesMD5:
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Demand_model.xlsx - 28,794 bytesMD5:
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grid_functions.py - 3,372,837 bytesMD5:
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opt1_pyseawates.ipynb - 260,167 bytesMD5:
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opt2_pyseawates.ipynb - 43,764 bytesMD5:
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PySeawATES_37.py - 707,581 bytesMD5:
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PySeawATES_Methods.pdf - 4,569,088 bytesMD5:
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swt_v4.exe - 167,592 bytesMD5:
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tespy_functions.py - 703,198 bytesMD5:
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well_dataAXI_delft.xlsx -
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