An optimization model of a district heating network with investment in large-scale heatpumps, thermal storage and resistive heaters.
To run the model, make sure that the timeseries data
- demand_heat_2017.csv
- price_electricity_spot_2017.csv
are provided in model/00_raw. Then, run the model:
python main.py
Copyright (C) 2017 Beuth Hochschule für Technik Berlin and Reiner Lemoine Institut gGmbH
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
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