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Enabling the dynamic simulation of an unaggregated, meshed district heating network with several thousand substations

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  • Westphal, Jan
  • Brunnemann, Johannes
  • Speerforck, Arne

Abstract

District heating networks (DHN) are an essential part of the decarbonization of the heating sector. As a high proportion of the buildings provided with district heating are integrated into larger networks, there is a need for efficient simulation tools that enable the simulation of large-scale DHN. This paper introduces a modeling concept for the dynamic simulation of DHN with several thousand substations using the modeling language Modelica. The emphasis is on the simulation of strongly meshed networks, usually appearing in large-scale DHN. To test the modeling concept, a generic, large-scale DHN is designed and simulated. The results are used to determine the time constants of the DHN for different load cases and evaluate the efficiency of the heat provision. We show that our modeling concept is suitable to simulate a DHN with 2167 substations, while the results suggest that there is still room for upscaling. To make the modeling concept fully open-source, a smaller DHN model is designed and simulated in OpenModelica. A comparison to Dymola shows that Dymola is not only 15 times faster in terms of simulation time; it also needs much less time for the translation and compilation of the model, highlighting future development of OpenModelica.

Suggested Citation

  • Westphal, Jan & Brunnemann, Johannes & Speerforck, Arne, 2025. "Enabling the dynamic simulation of an unaggregated, meshed district heating network with several thousand substations," Energy, Elsevier, vol. 322(C).
    • Handle: RePEc:eee:energy:v:322:y:2025:i:c:s036054422501076x
    DOI: 10.1016/j.energy.2025.135434
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    References listed on IDEAS

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    1. Schweiger, Gerald & Larsson, Per-Ola & Magnusson, Fredrik & Lauenburg, Patrick & Velut, Stéphane, 2017. "District heating and cooling systems – Framework for Modelica-based simulation and dynamic optimization," Energy, Elsevier, vol. 137(C), pages 566-578.
    2. Speerforck, Arne & Ling, Jiazhen & Aute, Vikrant & Radermacher, Reinhard & Schmitz, Gerhard, 2017. "Modeling and simulation of a desiccant assisted solar and geothermal air conditioning system," Energy, Elsevier, vol. 141(C), pages 2321-2336.
    3. Schweiger, Gerald & Heimrath, Richard & Falay, Basak & O'Donovan, Keith & Nageler, Peter & Pertschy, Reinhard & Engel, Georg & Streicher, Wolfgang & Leusbrock, Ingo, 2018. "District energy systems: Modelling paradigms and general-purpose tools," Energy, Elsevier, vol. 164(C), pages 1326-1340.
    4. Falay, Basak & Schweiger, Gerald & O’Donovan, Keith & Leusbrock, Ingo, 2020. "Enabling large-scale dynamic simulations and reducing model complexity of district heating and cooling systems by aggregation," Energy, Elsevier, vol. 209(C).
    5. Steinegger, Josef & Wallner, Stefan & Greiml, Matthias & Kienberger, Thomas, 2023. "A new quasi-dynamic load flow calculation for district heating networks," Energy, Elsevier, vol. 266(C).
    6. Capone, Martina & Guelpa, Elisa & Verda, Vittorio, 2021. "Accounting for pipeline thermal capacity in district heating simulations," Energy, Elsevier, vol. 219(C).
    7. Kuntuarova, Saltanat & Licklederer, Thomas & Huynh, Thanh & Zinsmeister, Daniel & Hamacher, Thomas & Perić, Vedran, 2024. "Design and simulation of district heating networks: A review of modeling approaches and tools," Energy, Elsevier, vol. 305(C).
    8. Meibodi, Saleh S. & Rees, Simon & Loveridge, Fleur, 2024. "Modeling district heating pipelines using a hybrid dynamic thermal network approach," Energy, Elsevier, vol. 290(C).
    9. Connolly, D. & Lund, H. & Mathiesen, B.V. & Werner, S. & Möller, B. & Persson, U. & Boermans, T. & Trier, D. & Østergaard, P.A. & Nielsen, S., 2014. "Heat Roadmap Europe: Combining district heating with heat savings to decarbonise the EU energy system," Energy Policy, Elsevier, vol. 65(C), pages 475-489.
    10. Dirk Zimmer, 2020. "Robust object-oriented formulation of directed thermofluid stream networks," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 26(3), pages 204-233, June.
    11. Dénarié, A. & Aprile, M. & Motta, M., 2023. "Dynamical modelling and experimental validation of a fast and accurate district heating thermo-hydraulic modular simulation tool," Energy, Elsevier, vol. 282(C).
    12. Hirsch, Hauke & Nicolai, Andreas, 2022. "An efficient numerical solution method for detailed modelling of large 5th generation district heating and cooling networks," Energy, Elsevier, vol. 255(C).
    13. Boghetti, Roberto & Kämpf, Jérôme H., 2024. "Verification of an open-source Python library for the simulation of district heating networks with complex topologies," Energy, Elsevier, vol. 290(C).
    14. Guelpa, Elisa & Verda, Vittorio, 2019. "Compact physical model for simulation of thermal networks," Energy, Elsevier, vol. 175(C), pages 998-1008.
    15. Daniel Lohmeier & Dennis Cronbach & Simon Ruben Drauz & Martin Braun & Tanja Manuela Kneiske, 2020. "Pandapipes: An Open-Source Piping Grid Calculation Package for Multi-Energy Grid Simulations," Sustainability, MDPI, vol. 12(23), pages 1-39, November.
    16. Zheng, Xuejing & Sun, Qihang & Wang, Yaran & Zheng, Lijun & Gao, Xinyong & You, Shijun & Zhang, Huan & Shi, Kaiyu, 2021. "Thermo-hydraulic coupled simulation and analysis of a real large-scale complex district heating network in Tianjin," Energy, Elsevier, vol. 236(C).
    17. Blommaert, Maarten & Wack, Y. & Baelmans, M., 2020. "An adjoint optimization approach for the topological design of large-scale district heating networks based on nonlinear models," Applied Energy, Elsevier, vol. 280(C).
    18. Dancker, Jonte & Wolter, Martin, 2021. "Improved quasi-steady-state power flow calculation for district heating systems: A coupled Newton-Raphson approach," Applied Energy, Elsevier, vol. 295(C).
    19. Martina Capone & Elisa Guelpa & Vittorio Verda, 2023. "Optimal Installation of Heat Pumps in Large District Heating Networks," Energies, MDPI, vol. 16(3), pages 1-23, February.
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