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Optimisation of a district energy system with a low temperature network

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  • Prasanna, Ashreeta
  • Dorer, Viktor
  • Vetterli, Nadège

Abstract

Low temperature district networks (LTNs) supply both low temperature heat and cooling to multiple buildings. Heat input from renewables and waste heat can be fed into LTNs, and they are often connected to long term thermal storage such as borehole fields. LTNs which include new technologies and topologies need to be evaluated in order to enable their further development and application.

Suggested Citation

  • Prasanna, Ashreeta & Dorer, Viktor & Vetterli, Nadège, 2017. "Optimisation of a district energy system with a low temperature network," Energy, Elsevier, vol. 137(C), pages 632-648.
  • Handle: RePEc:eee:energy:v:137:y:2017:i:c:p:632-648
    DOI: 10.1016/j.energy.2017.03.137
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    Cited by:

    1. Gjoka, Kristian & Rismanchi, Behzad & Crawford, Robert H., 2023. "Fifth-generation district heating and cooling systems: A review of recent advancements and implementation barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    2. Wirtz, Marco & Neumaier, Lisa & Remmen, Peter & Müller, Dirk, 2021. "Temperature control in 5th generation district heating and cooling networks: An MILP-based operation optimization," Applied Energy, Elsevier, vol. 288(C).
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    4. Fiorentini, Massimo & Heer, Philipp & Baldini, Luca, 2023. "Design optimization of a district heating and cooling system with a borehole seasonal thermal energy storage," Energy, Elsevier, vol. 262(PB).
    5. Østergaard, Dorte Skaarup & Smith, Kevin Michael & Tunzi, Michele & Svendsen, Svend, 2022. "Low-temperature operation of heating systems to enable 4th generation district heating: A review," Energy, Elsevier, vol. 248(C).
    6. Edtmayer, Hermann & Nageler, Peter & Heimrath, Richard & Mach, Thomas & Hochenauer, Christoph, 2021. "Investigation on sector coupling potentials of a 5th generation district heating and cooling network," Energy, Elsevier, vol. 230(C).
    7. Min-Hwi Kim & Youngsub An & Hong-Jin Joo & Dong-Won Lee & Jae-Ho Yun, 2021. "Self-Sufficiency and Energy Savings of Renewable Thermal Energy Systems for an Energy-Sharing Community," Energies, MDPI, vol. 14(14), pages 1-14, July.
    8. Kachirayil, Febin & Weinand, Jann Michael & Scheller, Fabian & McKenna, Russell, 2022. "Reviewing local and integrated energy system models: insights into flexibility and robustness challenges," Applied Energy, Elsevier, vol. 324(C).
    9. Werner, Sven, 2022. "Network configurations for implemented low-temperature district heating," Energy, Elsevier, vol. 254(PB).
    10. Buffa, Simone & Cozzini, Marco & D’Antoni, Matteo & Baratieri, Marco & Fedrizzi, Roberto, 2019. "5th generation district heating and cooling systems: A review of existing cases in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 504-522.
    11. Jalil-Vega, Francisca & Hawkes, Adam D., 2018. "The effect of spatial resolution on outcomes from energy systems modelling of heat decarbonisation," Energy, Elsevier, vol. 155(C), pages 339-350.
    12. Angelidis, O. & Ioannou, A. & Friedrich, D. & Thomson, A. & Falcone, G., 2023. "District heating and cooling networks with decentralised energy substations: Opportunities and barriers for holistic energy system decarbonisation," Energy, Elsevier, vol. 269(C).
    13. Meibodi, Saleh S. & Loveridge, Fleur, 2022. "The future role of energy geostructures in fifth generation district heating and cooling networks," Energy, Elsevier, vol. 240(C).
    14. Ferrari, Simone & Zagarella, Federica & Caputo, Paola & Bonomolo, Marina, 2019. "Assessment of tools for urban energy planning," Energy, Elsevier, vol. 176(C), pages 544-551.
    15. Wirtz, Marco & Kivilip, Lukas & Remmen, Peter & Müller, Dirk, 2020. "5th Generation District Heating: A novel design approach based on mathematical optimization," Applied Energy, Elsevier, vol. 260(C).
    16. Nilsson, Emil & Rohdin, Patrik, 2019. "Performance evaluation of an industrial borehole thermal energy storage (BTES) project – Experiences from the first seven years of operation," Renewable Energy, Elsevier, vol. 143(C), pages 1022-1034.
    17. Maccarini, Alessandro & Sotnikov, Artem & Sommer, Tobias & Wetter, Michael & Sulzer, Matthias & Afshari, Alireza, 2023. "Influence of building heat distribution temperatures on the energy performance and sizing of 5th generation district heating and cooling networks," Energy, Elsevier, vol. 275(C).
    18. Beatriz María Paredes-Sánchez & José Pablo Paredes & Natalia Caparrini & Elena Rivo-López, 2021. "Analysis of District Heating and Cooling Energy Systems in Spain: Resources, Technology and Management," Sustainability, MDPI, vol. 13(10), pages 1-22, May.
    19. Simone Buffa & Anton Soppelsa & Mauro Pipiciello & Gregor Henze & Roberto Fedrizzi, 2020. "Fifth-Generation District Heating and Cooling Substations: Demand Response with Artificial Neural Network-Based Model Predictive Control," Energies, MDPI, vol. 13(17), pages 1-25, August.
    20. Sommer, Tobias & Sulzer, Matthias & Wetter, Michael & Sotnikov, Artem & Mennel, Stefan & Stettler, Christoph, 2020. "The reservoir network: A new network topology for district heating and cooling," Energy, Elsevier, vol. 199(C).
    21. Groissböck, Markus, 2019. "Are open source energy system optimization tools mature enough for serious use?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 234-248.
    22. 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.
    23. Oliver Wagner & Thomas Götz, 2021. "Presentation of the 5Ds in Energy Policy: A Policy Paper to Show How Germany Can Regain Its Role as a Pioneer in Energy Policy," Energies, MDPI, vol. 14(20), pages 1-19, October.
    24. Gao, Wu & Masum, Shakil & Qadrdan, Meysam & Thomas, Hywel Rhys, 2022. "Estimation and prediction of shallow ground source heat resources subjected to complex soil and atmospheric boundary conditions," Renewable Energy, Elsevier, vol. 197(C), pages 978-994.
    25. Ferrari, Simone & Zagarella, Federica & Caputo, Paola & D'Amico, Antonino, 2019. "Results of a literature review on methods for estimating buildings energy demand at district level," Energy, Elsevier, vol. 175(C), pages 1130-1137.

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