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Operational optimization in district heating systems with the use of thermal energy storage

Author

Listed:
  • Leśko, Michał
  • Bujalski, Wojciech
  • Futyma, Kamil

Abstract

The aim of this document is to present the topic of operational optimization in District Heating (DH) systems, with special focus on different kinds of thermal energy storage. An optimization solution based on solving multiple Mixed Integer Linear Programming (MILP) problems has been proposed and implemented in the R programming environment.

Suggested Citation

  • Leśko, Michał & Bujalski, Wojciech & Futyma, Kamil, 2018. "Operational optimization in district heating systems with the use of thermal energy storage," Energy, Elsevier, vol. 165(PA), pages 902-915.
  • Handle: RePEc:eee:energy:v:165:y:2018:i:pa:p:902-915
    DOI: 10.1016/j.energy.2018.09.141
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    References listed on IDEAS

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    1. Romanchenko, Dmytro & Odenberger, Mikael & Göransson, Lisa & Johnsson, Filip, 2017. "Impact of electricity price fluctuations on the operation of district heating systems: A case study of district heating in Göteborg, Sweden," Applied Energy, Elsevier, vol. 204(C), pages 16-30.
    2. Levihn, Fabian, 2017. "CHP and heat pumps to balance renewable power production: Lessons from the district heating network in Stockholm," Energy, Elsevier, vol. 137(C), pages 670-678.
    3. Vesterlund, Mattias & Toffolo, Andrea & Dahl, Jan, 2017. "Optimization of multi-source complex district heating network, a case study," Energy, Elsevier, vol. 126(C), pages 53-63.
    4. Guelpa, Elisa & Barbero, Giulia & Sciacovelli, Adriano & Verda, Vittorio, 2017. "Peak-shaving in district heating systems through optimal management of the thermal request of buildings," Energy, Elsevier, vol. 137(C), pages 706-714.
    5. Vandermeulen, Annelies & van der Heijde, Bram & Helsen, Lieve, 2018. "Controlling district heating and cooling networks to unlock flexibility: A review," Energy, Elsevier, vol. 151(C), pages 103-115.
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