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.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.