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Techno-Economic Analysis of Operating Temperature Variations in a 4th Generation District Heating Grid—A German Case Study

Author

Listed:
  • Karl Specht

    (Institute for Infrastructure and Resources Management, University of Leipzig, 04109 Leipzig, Germany
    These authors contributed equally to this work.)

  • Max Berger

    (Department of Food and Resource Economics, University of Copenhagen, Rolighedsvej 23, 1958 Frederiksberg C, Denmark
    These authors contributed equally to this work.)

  • Thomas Bruckner

    (Institute for Infrastructure and Resources Management, University of Leipzig, 04109 Leipzig, Germany)

Abstract

The decarbonization of the heat supply is crucial for the German energy transition. Integrating Power-to-Heat technologies like heat pumps (HPs) into district heating grids (DHGs) can support this process. The efficiency of HPs can be increased through temperature reduction in the DHG, though decentralized reheating may be required to supply sufficient heat for the end consumers. In order to investigate the associated trade-off, this study evaluates the economic, ecological, and technical effects of temperature reduction in DHGs using the software tool nPro. In a three-step process heat demand, the DHG design and operation are modeled. Three operating temperature scenarios are considered: 60 °C, 50 °C, and an ambient dependent flow temperature varying between 40 and 50 °C. As the temperatures decrease, the balance shifts between centrally produced HP heat and decentralized heat from instantaneous electric water heaters (IEWHs). The initial temperature reduction leads to reduced CO 2 emissions, primary energy demand, heat losses, and total annual cost (TAC). However, with a further reduction in the operating temperature, an increase in these parameters occurs. While the necessary cost and primary energy for central components decrease, an increase in the decentralized heat generation is necessary to properly supply the heat demand. This leads to higher TAC and CO 2 emissions overall.

Suggested Citation

  • Karl Specht & Max Berger & Thomas Bruckner, 2025. "Techno-Economic Analysis of Operating Temperature Variations in a 4th Generation District Heating Grid—A German Case Study," Sustainability, MDPI, vol. 17(9), pages 1-33, April.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:3985-:d:1644992
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    1. Lund, Henrik & Østergaard, Poul Alberg & Chang, Miguel & Werner, Sven & Svendsen, Svend & Sorknæs, Peter & Thorsen, Jan Eric & Hvelplund, Frede & Mortensen, Bent Ole Gram & Mathiesen, Brian Vad & Boje, 2018. "The status of 4th generation district heating: Research and results," Energy, Elsevier, vol. 164(C), pages 147-159.
    2. Yang, Xiaochen & Li, Hongwei & Svendsen, Svend, 2016. "Evaluations of different domestic hot water preparing methods with ultra-low-temperature district heating," Energy, Elsevier, vol. 109(C), pages 248-259.
    3. Robin Zeh & Björn Ohlsen & David Philipp & David Bertermann & Tim Kotz & Nikola Jocić & Volker Stockinger, 2021. "Large-Scale Geothermal Collector Systems for 5th Generation District Heating and Cooling Networks," Sustainability, MDPI, vol. 13(11), pages 1-18, May.
    4. Nussbaumer, T. & Thalmann, S., 2016. "Influence of system design on heat distribution costs in district heating," Energy, Elsevier, vol. 101(C), pages 496-505.
    5. Li, Danny H.W. & Yang, Liu & Lam, Joseph C., 2013. "Zero energy buildings and sustainable development implications – A review," Energy, Elsevier, vol. 54(C), pages 1-10.
    6. Wirtz, Marco, 2023. "nPro: A web-based planning tool for designing district energy systems and thermal networks," Energy, Elsevier, vol. 268(C).
    7. Ilaria Marotta & Francesco Guarino & Sonia Longo & Maurizio Cellura, 2021. "Environmental Sustainability Approaches and Positive Energy Districts: A Literature Review," Sustainability, MDPI, vol. 13(23), pages 1-45, November.
    8. Mäki, Elina & Kannari, Lotta & Hannula, Ilkka & Shemeikka, Jari, 2021. "Decarbonization of a district heating system with a combination of solar heat and bioenergy: A techno-economic case study in the Northern European context," Renewable Energy, Elsevier, vol. 175(C), pages 1174-1199.
    9. Guelpa, E. & Capone, M. & Sciacovelli, A. & Vasset, N. & Baviere, R. & Verda, V., 2023. "Reduction of supply temperature in existing district heating: A review of strategies and implementations," Energy, Elsevier, vol. 262(PB).
    10. Meesenburg, Wiebke & Ommen, Torben & Thorsen, Jan Eric & Elmegaard, Brian, 2020. "Economic feasibility of ultra-low temperature district heating systems in newly built areas supplied by renewable energy," Energy, Elsevier, vol. 191(C).
    11. Gudmundsson, Oddgeir & Schmidt, Ralf-Roman & Dyrelund, Anders & Thorsen, Jan Eric, 2022. "Economic comparison of 4GDH and 5GDH systems – Using a case study," Energy, Elsevier, vol. 238(PA).
    12. Lund, Henrik & Duic, Neven & Østergaard, Poul Alberg & Mathiesen, Brian Vad, 2018. "Future district heating systems and technologies: On the role of smart energy systems and 4th generation district heating," Energy, Elsevier, vol. 165(PA), pages 614-619.
    13. Lund, Henrik & Østergaard, Poul Alberg & Nielsen, Tore Bach & Werner, Sven & Thorsen, Jan Eric & Gudmundsson, Oddgeir & Arabkoohsar, Ahmad & Mathiesen, Brian Vad, 2021. "Perspectives on fourth and fifth generation district heating," Energy, Elsevier, vol. 227(C).
    14. Petri Penttinen & Jussi Vimpari & Seppo Junnila, 2021. "Optimal Seasonal Heat Storage in a District Heating System with Waste Incineration," Energies, MDPI, vol. 14(12), pages 1-15, June.
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