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Creating Statistics for China’s Building Energy Consumption Using an Adapted Energy Balance Sheet

Author

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  • Mingshun Zhang

    (School of Environment and Energy Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Xuan Ge

    (School of Environment and Energy Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Ya Zhao

    (School of Construction Management and Real Estate, Chongqing University, Chongqing 400044, China)

  • Chun Xia-Bauer

    (Wuppertal Institute for Climate, Environment and Energy, 42103 Wuppertal, Germany)

Abstract

China’s regular energy statistics does not include the building sector, and data on building energy demand is included in other types of energy consumption in the Energy Balance Sheet (EBS). Therefore data on building energy demand is not collected based on statistics, but rather calculated or estimated by various approaches in China. This study aims at developing and testing China’s building energy statistics by applying an adapted EBS. The advantage of the adapted EBS is that statistical data is from the regular statistical system and no additional statistical efforts are needed. The research result shows that the adapted EBS can be included in China regular energy statistical system and can be standardized in a transparent way. Testing of the adapted EBS shows that China’s building energy demand has shown an annual increase of 7.6% since 2001, and a lower contribution to the total energy demand as compared to the developed world. There is also a close link to lifestyle and living standard while industrial energy demand is mainly driven by economy and decoupling of building energy demand with increasing of building floor area, this is due to a considerable improvement of building energy efficiency. The adapted EBS creates a method for China conducting statistics of building energy consumption at the sector level in a uniform way and serves as the basis for any sound building energy efficiency policy decisions.

Suggested Citation

  • Mingshun Zhang & Xuan Ge & Ya Zhao & Chun Xia-Bauer, 2019. "Creating Statistics for China’s Building Energy Consumption Using an Adapted Energy Balance Sheet," Energies, MDPI, vol. 12(22), pages 1-15, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4293-:d:285740
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    References listed on IDEAS

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    1. Yu, Sha & Eom, Jiyong & Evans, Meredydd & Clarke, Leon, 2014. "A long-term, integrated impact assessment of alternative building energy code scenarios in China," Energy Policy, Elsevier, vol. 67(C), pages 626-639.
    2. Zhang, Mingshun & Wang, Mujie & Jin, Wei & Xia-Bauer, Chun, 2018. "Managing energy efficiency of buildings in China: A survey of energy performance contracting (EPC) in building sector," Energy Policy, Elsevier, vol. 114(C), pages 13-21.
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    Cited by:

    1. Ling Yang & Kai Zhao & Yankai Zhao & Mengyuan Zhong, 2021. "Identifying Key Factors in Determining Disparities in Energy Consumption in China: A Household Level Analysis," Energies, MDPI, vol. 14(21), pages 1-20, November.
    2. Ying Liu & Depeng Chen & Jinxian Wang & Mingfeng Dai, 2023. "Energy-Saving and Ecological Renovation of Existing Urban Buildings in Severe Cold Areas: A Case Study," Sustainability, MDPI, vol. 15(17), pages 1-13, August.
    3. Christos Tzivanidis & Evangelos Bellos, 2020. "A Comparative Study of Solar-Driven Trigeneration Systems for the Building Sector," Energies, MDPI, vol. 13(8), pages 1-21, April.
    4. Na, Wei & Wang, Mingming, 2022. "A Bayesian approach with urban-scale energy model to calibrate building energy consumption for space heating: A case study of application in Beijing," Energy, Elsevier, vol. 247(C).

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