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Technical assessment of electric heat boosters in low-temperature district heating based on combined heat and power analysis

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  • Cai, Hanmin
  • You, Shi
  • Wang, Jiawei
  • Bindner, Henrik W.
  • Klyapovskiy, Sergey

Abstract

This paper provides a technical assessment of electric heat boosters (EHBs) in low-energy districts. The analysis is based on a hypothetical district with 23 terraced single-family houses supplied by both a low-temperature district heating (LTDH) network and a low-voltage network (LVN). Two case studies are provided to show the active role of EHBs in a smart energy system (SES). The first case compares annual heat and power flow analyses for LTDH at five supply temperature levels, focusing on their impacts. The results show that district heating network (DHN) losses can be reduced by 35% if the supply temperature is reduced from 70 °C to 50 °C, but the LVN peak power will have to be increased by up to 2% using heat boosting. The second case further aggregates EHBs to provide a fuel shift (FS) service for the DHN. The results show that while LVN peak power was increased by up to 4.3%, the basic power production and peak boiler usage for DHN could be reduced by as much as 15% and 48%, respectively. In summary, lower supply temperatures and intelligent components can improve system efficiency and turn the DHN into an integrated part of a SES.

Suggested Citation

  • Cai, Hanmin & You, Shi & Wang, Jiawei & Bindner, Henrik W. & Klyapovskiy, Sergey, 2018. "Technical assessment of electric heat boosters in low-temperature district heating based on combined heat and power analysis," Energy, Elsevier, vol. 150(C), pages 938-949.
    • Handle: RePEc:eee:energy:v:150:y:2018:i:c:p:938-949
    DOI: 10.1016/j.energy.2018.02.084
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    6. Nielsen, Tore Bach & Lund, Henrik & Østergaard, Poul Alberg & Duic, Neven & Mathiesen, Brian Vad, 2021. "Perspectives on energy efficiency and smart energy systems from the 5th SESAAU2019 conference," Energy, Elsevier, vol. 216(C).
    7. Yin, Mingzhou & Cai, Hanmin & Gattiglio, Andrea & Khayatian, Fazel & Smith, Roy S. & Heer, Philipp, 2024. "Data-driven predictive control for demand side management: Theoretical and experimental results," Applied Energy, Elsevier, vol. 353(PA).
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    9. Østergaard, Poul Alberg & Andersen, Anders N., 2018. "Economic feasibility of booster heat pumps in heat pump-based district heating systems," Energy, Elsevier, vol. 155(C), pages 921-929.
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    13. Chicherin, Stanislav, 2020. "Methodology for analyzing operation data for optimum district heating (DH) system design: Ten-year data of Omsk, Russia," Energy, Elsevier, vol. 211(C).
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    17. 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.
    18. Cai, Hanmin & Ziras, Charalampos & You, Shi & Li, Rongling & Honoré, Kristian & Bindner, Henrik W., 2018. "Demand side management in urban district heating networks," Applied Energy, Elsevier, vol. 230(C), pages 506-518.

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