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Coupled simulation of a DUBHE with a heat pump

This repository holds the data, python scripts for modeling and notebooks for data preparation and evaluation of the results for the paper "Thermal performance response and heat load redistribution mechanism of a deep U-type borehole heat exchanger in heating systems" submitted to Applied Energy.

For the paper open source software for thermodynamic plant modeling (Thermal Engineering Systems in Python: TESPy) and for thermo-hydro-mechanical-chemical modeling of the subsurface (OpenGeoSystems: OGS) have been coupled.

  • DUBHE: Deep U-Type Borehole Heat Exchanger
  • GSHP: Ground Source Heat Pump

Installation and usage

After downloading install the requirements within a fresh virtual environment:

python -m pip install -r requirements.txt

Coupling Scheme

The two simulators have been coupled according to the figure below. The heat demand time series controls the operation of the heat pump. Based on the heat demand, the heat demand temperature level as well as the BHE flow rate and outflow temperature the heat pump model calculates the BHE re-injection temperature. Next, the DUBHE simulation is started to update the BHE outflow temperature. Once convergence on the BHE outflow temperature has been reached, the iteration process is started for the next time step in the heat demand time series.

Coupling scheme

Coupling scheme for OGS and TESPy

Literature

For the heat pump model TESPy has been used:

  • Francesco Witte, Ilja Tuschy (2020). TESPy: Thermal Engineering Systems in Python. Journal of Open Source Software, 5(49), 2178, 10.21105/joss.02178

For the subsurface model OGS has been used:

  • Chaofan Chen, Wanlong Cai, Dmitri Naumov, Kun Tu, Hongwei Zhou, Yuping Zhang, Olaf Kolditz, and Haibing Shao (2021). Numerical investigation on the capacity and efficiency of a deep enhanced U-tube borehole heat exchanger system for building heating. Renewable Energy 169: 557-572. doi: 10.1016/j.renene.2021.01.033

For the case study on integration of the DUBHE coupled GSHP demand data have been used based on the following publication:

  • Merlin Sebastian Triebs, Elisa Papadis, Hannes Cramer, George Tsatsaronis (2021). Landscape of district heating systems in Germany – Status quo and categorization. Energy Conversion and Management: X, 9, 100068, doi: 10.1016/j.ecmx.2020.100068.

License

Copyright (c) 2024 Francesco Witte, Chaofan Chen

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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