IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v38y2010i10p5947-5955.html
   My bibliography  Save this article

Fuzzy comprehensive evaluation of district heating systems

Author

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301-4215(10)00419-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Georgiev, A., 2008. "Testing solar collectors as an energy source for a heat pump," Renewable Energy, Elsevier, vol. 33(4), pages 832-838.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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, vol. 7(3), pages 1-30, March.
    4. Stojiljković, Mirko M., 2017. "Bi-level multi-objective fuzzy design optimization of energy supply systems aided by problem-specific heuristics," Energy, Elsevier, vol. 137(C), pages 1231-1251.
    5. Mazhar, Abdur Rehman & Liu, Shuli & Shukla, Ashish, 2018. "A state of art review on the district heating systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 420-439.
    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. 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.
    8. Wang, Haichao & Duanmu, Lin & Lahdelma, Risto & Li, Xiangli, 2017. "Developing a multicriteria decision support framework for CHP based combined district heating systems," Applied Energy, Elsevier, vol. 205(C), pages 345-368.
    9. Liu, Jian & Cheng, Wen-Long & Nian, Yong-Le, 2018. "The stratigraphic and operating parameters influence on economic analysis for enhanced geothermal double wells utilization system," Energy, Elsevier, vol. 159(C), pages 264-276.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Danica Djurić Ilić, 2020. "Classification of Measures for Dealing with District Heating Load Variations—A Systematic Review," Energies, MDPI, vol. 14(1), pages 1-27, December.
    2. Gebremedhin, Alemayehu, 2012. "Introducing District Heating in a Norwegian town – Potential for reduced Local and Global Emissions," Applied Energy, Elsevier, vol. 95(C), pages 300-304.
    3. Olsson, Linda & Wetterlund, Elisabeth & Söderström, Mats, 2015. "Assessing the climate impact of district heating systems with combined heat and power production and industrial excess heat," Resources, Conservation & Recycling, Elsevier, vol. 96(C), pages 31-39.
    4. Rezaie, Behnaz & Reddy, Bale V. & Rosen, Marc A., 2014. "An enviro-economic function for assessing energy resources for district energy systems," Energy, Elsevier, vol. 70(C), pages 159-164.
    5. 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.
    6. Möller, Bernd & Lund, Henrik, 2010. "Conversion of individual natural gas to district heating: Geographical studies of supply costs and consequences for the Danish energy system," Applied Energy, Elsevier, vol. 87(6), pages 1846-1857, June.
    7. Rezaie, Behnaz & Rosen, Marc A., 2012. "District heating and cooling: Review of technology and potential enhancements," Applied Energy, Elsevier, vol. 93(C), pages 2-10.
    8. Gebremedhin, Alemayehu, 2014. "Optimal utilisation of heat demand in district heating system—A case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 230-236.
    9. Magnusson, Dick, 2012. "Swedish district heating—A system in stagnation: Current and future trends in the district heating sector," Energy Policy, Elsevier, vol. 48(C), pages 449-459.
    10. Vogler–Finck, P.J.C. & Bacher, P. & Madsen, H., 2017. "Online short-term forecast of greenhouse heat load using a weather forecast service," Applied Energy, Elsevier, vol. 205(C), pages 1298-1310.
    11. Djuric Ilic, Danica & Dotzauer, Erik & Trygg, Louise, 2012. "District heating and ethanol production through polygeneration in Stockholm," Applied Energy, Elsevier, vol. 91(1), pages 214-221.
    12. Lyons, Ben & O’Dwyer, Edward & Shah, Nilay, 2020. "Model reduction for Model Predictive Control of district and communal heating systems within cooperative energy systems," Energy, Elsevier, vol. 197(C).
    13. Li, Yu & Rezgui, Yacine & Zhu, Hanxing, 2017. "District heating and cooling optimization and enhancement – Towards integration of renewables, storage and smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 281-294.
    14. Amiri, Shahnaz & Weinberger, Gottfried, 2018. "Increased cogeneration of renewable electricity through energy cooperation in a Swedish district heating system - A case study," Renewable Energy, Elsevier, vol. 116(PA), pages 866-877.
    15. Kusiak, Andrew & Li, Mingyang & Zhang, Zijun, 2010. "A data-driven approach for steam load prediction in buildings," Applied Energy, Elsevier, vol. 87(3), pages 925-933, March.
    16. Akhtari, Shaghaygh & Sowlati, Taraneh & Day, Ken, 2014. "The effects of variations in supply accessibility and amount on the economics of using regional forest biomass for generating district heat," Energy, Elsevier, vol. 67(C), pages 631-640.
    17. Ahmad, Tanveer & Chen, Huanxin & Shair, Jan, 2018. "Water source heat pump energy demand prognosticate using disparate data-mining based approaches," Energy, Elsevier, vol. 152(C), pages 788-803.
    18. Mohanraj, M. & Belyayev, Ye. & Jayaraj, S. & Kaltayev, A., 2018. "Research and developments on solar assisted compression heat pump systems – A comprehensive review (Part A: Modeling and modifications)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 83(C), pages 90-123.
    19. 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.
    20. Deng, Na & Cai, Rongchang & Gao, Yuan & Zhou, Zhihua & He, Guansong & Liu, Dongyi & Zhang, Awen, 2017. "A MINLP model of optimal scheduling for a district heating and cooling system: A case study of an energy station in Tianjin," Energy, Elsevier, vol. 141(C), pages 1750-1763.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:38:y:2010:i:10:p:5947-5955. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.