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Evaluation of design objectives in district heating system design

Author

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  • Kouhia, Mikko
  • Laukkanen, Timo
  • Holmberg, Henrik
  • Ahtila, Pekka

Abstract

Energy system design is complex and the long utilization time of plants and the variance in economic parameters induce uncertainty into the outcome. In this article, different design objectives in a mid-sized district heating system design are evaluated. A mixed integer linear multi-objective optimization model is formulated and solved for maximum profit, minimum exergy losses, minimum CO2 emissions, minimum district heat primary energy factor and minimum district heat primary exergy (PeXa) factor. Energy system design should include metrics that take externalities into account. A combination of profit, CO2 and primary energy factor is recognized as a feasible set of design objectives. Exergy losses do not represent sustainability viewpoint well in energy system design — PeXa method expands it to fit system evaluation better. Optimization models such as this may provide relevant information for system operators, and for setting policy actions.

Suggested Citation

  • Kouhia, Mikko & Laukkanen, Timo & Holmberg, Henrik & Ahtila, Pekka, 2019. "Evaluation of design objectives in district heating system design," Energy, Elsevier, vol. 167(C), pages 369-378.
    • Handle: RePEc:eee:energy:v:167:y:2019:i:c:p:369-378
    DOI: 10.1016/j.energy.2018.10.170
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    Cited by:

    1. Steffen Wehkamp & Lucas Schmeling & Lena Vorspel & Fabian Roelcke & Kai-Lukas Windmeier, 2020. "District Energy Systems: Challenges and New Tools for Planning and Evaluation," Energies, MDPI, vol. 13(11), pages 1-20, June.
    2. Gonzalez-Salazar, Miguel & Klossek, Julia & Dubucq, Pascal & Punde, Thomas, 2023. "Portfolio optimization in district heating: Merit order or mixed integer linear programming?," Energy, Elsevier, vol. 265(C).
    3. Kouhia, Mikko & Laukkanen, Timo & Holmberg, Henrik & Ahtila, Pekka, 2019. "District heat network as a short-term energy storage," Energy, Elsevier, vol. 177(C), pages 293-303.
    4. Nérot, B. & Lamaison, N. & Mabrouk, M.T. & Bavière, R. & Lacarrière, B., 2023. "Optimization framework for evaluating urban thermal systems potential," Energy, Elsevier, vol. 270(C).
    5. Chicherin, Stanislav & Anvari-Moghaddam, Amjad, 2021. "Adjusting heat demands using the operational data of district heating systems," Energy, Elsevier, vol. 235(C).

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