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Accounting Factors and Spatio-Temporal Differences of the Carbon Footprint Factor in China’s Power System

Author

Listed:
  • Ao Li

    (College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China)

  • Zhen Wang

    (College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China)

  • Xingyu Sun

    (Inner Mongolia Mengtai Buliangou Coal Industry Co., Ltd., Ordos 017000, China)

  • Fei Ma

    (Huadian Coal Industry Group Digital Intelligence Technology Co., Ltd., Beijing 102400, China)

Abstract

The carbon footprint factor of a power system is a crucial basis for calculating carbon emissions from electricity consumption. However, the current carbon footprint factor of China’s power system faces several issues, such as a limited spatial range, outdated updates, an incomplete accounting scope, and unclear accounting methods. To make the power system’s carbon footprint accounting method and its temporal and spatial scope more comprehensive, this study reconstructs the accounting method based on the emission factor method, adding factors such as transmission losses, power transmission across spatial ranges, and Sulfur hexafluoride (SF 6 ) gas leakage. This study’s analysis reveals that these three accounting factors have a significant impact on the power system’s carbon footprint factor. In terms of the time dimension, the carbon footprint factor has decreased by more than 20% over the past 18 years, and when the time interval is refined to a monthly scale, the carbon footprint factor exhibits significant seasonal fluctuations. In the spatial dimension, the coefficient of variation (CV) for regional and provincial power system carbon footprint factors reached 27.38% and 29.98%, respectively, in 2022. For the same geographic location, the difference in carbon footprint factors between provincial and regional levels ranged from −73.98% to 119.95%. This study shows that the current carbon footprint factor of the power system has limitations, and there is an urgent need to improve the accounting factors, establish multi-level spatial division standards for provincial and regional scales, and shorten the update intervals while ensuring data timeliness. This will enhance the temporal and spatial accuracy of the carbon footprint factor, providing scientific support for precise carbon emission management.

Suggested Citation

  • Ao Li & Zhen Wang & Xingyu Sun & Fei Ma, 2025. "Accounting Factors and Spatio-Temporal Differences of the Carbon Footprint Factor in China’s Power System," Energies, MDPI, vol. 18(10), pages 1-23, May.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:10:p:2663-:d:1661112
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    References listed on IDEAS

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    1. Gao, Chengkang & Zhu, Sulong & An, Nan & Na, Hongming & You, Huan & Gao, Chengbo, 2021. "Comprehensive comparison of multiple renewable power generation methods: A combination analysis of life cycle assessment and ecological footprint," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    2. Yan, Yunfeng & Li, Xiyuan & Wang, Ran & Zhao, Zhongxiu & Jiao, Aodong, 2023. "Decomposing the carbon footprints of multinational enterprises along global value chains," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 13-28.
    3. BILLEN, Pieter & MAES, Ben & LARRAÍN, Macarena & BRAET, Johan, 2020. "Replacing SF6 in electrical gas-insulated switchgear: technological alternatives and potential life cycle greenhouse gas savings in an EU-28 perspective," Working Papers 2020001, University of Antwerp, Faculty of Business and Economics.
    4. Xia, Fang & Song, Feng, 2017. "Evaluating the economic impact of wind power development on local economies in China," Energy Policy, Elsevier, vol. 110(C), pages 263-270.
    5. Wang, Like & Wang, Yuan & Du, Huibin & Zuo, Jian & Yi Man Li, Rita & Zhou, Zhihua & Bi, Fenfen & Garvlehn, McSimon P., 2019. "A comparative life-cycle assessment of hydro-, nuclear and wind power: A China study," Applied Energy, Elsevier, vol. 249(C), pages 37-45.
    6. Leidong Yuan & Cheng Xu, 2019. "Life Cycle Assessment of Low-Rank Coal Utilization for Power Generation and Energy Transportation," Energies, MDPI, vol. 12(12), pages 1-23, June.
    7. Ying Zhang & Xiaobin Dong & Xuechao Wang & Peng Zhang & Mengxue Liu & Yufang Zhang & Ruiming Xiao, 2023. "The Relationship between the Low-Carbon Industrial Model and Human Well-Being: A Case Study of the Electric Power Industry," Energies, MDPI, vol. 16(3), pages 1-19, January.
    8. Yingying Du & Hui Huang & Haibin Liu & Jingying Zhao & Qingzhou Yang, 2024. "Life Cycle Assessment of Abandonment of Onshore Wind Power for Hydrogen Production in China," Sustainability, MDPI, vol. 16(13), pages 1-25, July.
    9. Guo, Xiaopeng & Dong, Yining & Ren, Dongfang, 2023. "CO2 emission reduction effect of photovoltaic industry through 2060 in China," Energy, Elsevier, vol. 269(C).
    10. Xuerong Li & Faliang Gui & Qingpeng Li, 2019. "Can Hydropower Still Be Considered a Clean Energy Source? Compelling Evidence from a Middle-Sized Hydropower Station in China," Sustainability, MDPI, vol. 11(16), pages 1-13, August.
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