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Energy Consumption Calculation of Civil Buildings in Regional Integrated Energy Systems: A Review of Characteristics, Methods and Application Prospects

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  • Qicong Cai

    (School of Energy & Architecture, Xi’an Aeronautical Institute, Xi’an 710077, China)

  • Baizhan Li

    (Joint International Research Laboratory of Green Buildings and Built Environments, Chongqing University, Chongqing 400045, China)

  • Wenbo He

    (School of Energy & Architecture, Xi’an Aeronautical Institute, Xi’an 710077, China)

  • Miao Guo

    (School of Energy & Safety Engineering, Tianjin Chengjian University, Tianjin 300384, China)

Abstract

Civil buildings play a critical role in urban energy consumption. The energy consumption of civil buildings significantly affects energy allocation and conservation management within regional integrated energy systems (RIESs). This paper first analyzes the influencing factors of civil building energy consumption, as well as the energy consumption characteristics of different types of buildings such as office buildings, shopping malls, hospitals, hotels, and residential buildings. Subsequently, it reviews methodologies for calculating operational energy consumption, offering valuable insights for the optimization and strategic adjustments of an RIES. Finally, the paper assesses the application potential of these calculation methods within an RIES and discusses the future development trend of calculating civil building energy consumption.

Suggested Citation

  • Qicong Cai & Baizhan Li & Wenbo He & Miao Guo, 2024. "Energy Consumption Calculation of Civil Buildings in Regional Integrated Energy Systems: A Review of Characteristics, Methods and Application Prospects," Sustainability, MDPI, vol. 16(13), pages 1-25, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5692-:d:1428348
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    References listed on IDEAS

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    2. Ahmadi-Karvigh, Simin & Ghahramani, Ali & Becerik-Gerber, Burcin & Soibelman, Lucio, 2018. "Real-time activity recognition for energy efficiency in buildings," Applied Energy, Elsevier, vol. 211(C), pages 146-160.
    3. Streltsov, Artem & Malof, Jordan M. & Huang, Bohao & Bradbury, Kyle, 2020. "Estimating residential building energy consumption using overhead imagery," Applied Energy, Elsevier, vol. 280(C).
    4. Wang, Huilong & Xu, Peng & Lu, Xing & Yuan, Dengkuo, 2016. "Methodology of comprehensive building energy performance diagnosis for large commercial buildings at multiple levels," Applied Energy, Elsevier, vol. 169(C), pages 14-27.
    5. Marzouk, Mohamed & Seleem, Noreihan, 2018. "Assessment of existing buildings performance using system dynamics technique," Applied Energy, Elsevier, vol. 211(C), pages 1308-1323.
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    1. Yongchao Zhao & Yang Yang & Jianmin Zhang & Hugeng Ling & Yawei Du, 2024. "Application of Distributed Collaborative Optimization in Building Multi-Energy Complementary Energy Systems," Sustainability, MDPI, vol. 16(22), pages 1-20, November.

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