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Fuzzy comprehensive evaluation of district heating systems

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Listed:
  • Wei, Bing
  • Wang, Song-Ling
  • Li, Li

Abstract

Selecting the optimal type of district heating (DH) system is of great importance because different heating systems have different levels of efficiency, which will impact the system economics, environment and energy use. In this study, seven DH systems were analysed and evaluated by the fuzzy comprehensive evaluation method. The dimensionless number--goodness was introduced into the calculation, the economics, environment and energy technology factors were considered synthetically, and the final goodness values were obtained. The results show that if only one of the economics, environment or energy technology factors are considered, different heating systems have different goodness values. When all three factors were taken into account, the final ranking of goodness values was: combined heating and power>gas-fired boiler>water-source heat pump>coal-fired boiler>ground-source heat pump>solar-energy heat pump>oil-fired boiler. The combined heating and power system is the best choice from all seven systems; the gas-fired boiler system is the best of the three boiler systems for heating purpose; and the water-source heat pump is the best of the three heat pump systems for heating and cooling.

Suggested Citation

  • Wei, Bing & Wang, Song-Ling & Li, Li, 2010. "Fuzzy comprehensive evaluation of district heating systems," Energy Policy, Elsevier, vol. 38(10), pages 5947-5955, October.
  • Handle: RePEc:eee:enepol:v:38:y:2010:i:10:p:5947-5955
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    References listed on IDEAS

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    1. Difs, Kristina & Danestig, Maria & Trygg, Louise, 2009. "Increased use of district heating in industrial processes - Impacts on heat load duration," Applied Energy, Elsevier, vol. 86(11), pages 2327-2334, November.
    2. Georgiev, A., 2008. "Testing solar collectors as an energy source for a heat pump," Renewable Energy, Elsevier, vol. 33(4), pages 832-838.
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    Cited by:

    1. repec:eee:energy:v:137:y:2017:i:c:p:1231-1251 is not listed on IDEAS
    2. Guo, Jin & Huang, Ying & Wei, Chu, 2015. "North–South debate on district heating: Evidence from a household survey," Energy Policy, Elsevier, vol. 86(C), pages 295-302.
    3. Shamshirband, Shahaboddin & Petković, Dalibor & Enayatifar, Rasul & Hanan Abdullah, Abdul & Marković, Dušan & Lee, Malrey & Ahmad, Rodina, 2015. "Heat load prediction in district heating systems with adaptive neuro-fuzzy method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 760-767.
    4. Keçebaş, Ali & Alkan, Mehmet Ali & Yabanova, İsmail & Yumurtacı, Mehmet, 2013. "Energetic and economic evaluations of geothermal district heating systems by using ANN," Energy Policy, Elsevier, vol. 56(C), pages 558-567.
    5. repec:eee:appene:v:205:y:2017:i:c:p:345-368 is not listed on IDEAS
    6. Wang, Hai-Chao & Jiao, Wen-Ling & Lahdelma, Risto & Zou, Ping-Hua, 2011. "Techno-economic analysis of a coal-fired CHP based combined heating system with gas-fired boilers for peak load compensation," Energy Policy, Elsevier, vol. 39(12), pages 7950-7962.
    7. Huiru Zhao & Nana Li, 2015. "Risk Evaluation of a UHV Power Transmission Construction Project Based on a Cloud Model and FCE Method for Sustainability," Sustainability, MDPI, Open Access Journal, vol. 7(3), pages 1-30, March.

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