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A Comparative Study on the Average CO 2 Emission Factors of Electricity of China

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  • Feng Chen

    (National Institute of Metrology, Beijing 100029, China
    Key Laboratory of Metrology Digitalization and Digital Metrology, State Administration for Market Regulation, Beijing 100029, China
    National Metrology Data Center, Beijing 100029, China)

  • Jingyu Lei

    (National Institute of Metrology, Beijing 100029, China
    Key Laboratory of Metrology Digitalization and Digital Metrology, State Administration for Market Regulation, Beijing 100029, China
    National Metrology Data Center, Beijing 100029, China)

  • Zilong Liu

    (National Institute of Metrology, Beijing 100029, China
    Key Laboratory of Metrology Digitalization and Digital Metrology, State Administration for Market Regulation, Beijing 100029, China
    National Metrology Data Center, Beijing 100029, China)

  • Xingchuang Xiong

    (National Institute of Metrology, Beijing 100029, China
    Key Laboratory of Metrology Digitalization and Digital Metrology, State Administration for Market Regulation, Beijing 100029, China
    National Metrology Data Center, Beijing 100029, China)

Abstract

The intensification of global climate change and the resulting environmental challenges have made carbon emission control a focal point of global attention. As one of the major sources of carbon emissions, the power sector plays a critical role in accurately quantifying CO 2 emissions, which is essential for formulating effective emission reduction policies and action plans. The average CO 2 emission factor of electricity (AEF), as a key parameter, is widely used in calculating indirect carbon emissions from purchased electricity in various industries. The International Energy Agency (IEA) reported an AEF of 0.6093 kgCO 2 /kWh for China in 2021, while the Ministry of Ecology and Environment of China (MEE) officially reported a value of 0.5568 kg CO 2 /kWh, resulting in a discrepancy of 9.43%. This study conducts an in-depth analysis of the calculation methodologies used by the MEE and IEA, comparing them from two critical dimensions: calculation formulas and data sources, to explore potential causes of the observed discrepancies. Differences in formula components include factors such as electricity trade, the allocation of emissions from combined heat and power (CHP) plants, and emissions from own energy use in power plants. Notably, the IEA’s inclusion of CHP allocation reduces its calculated emissions by 10.99%. Regarding data sources, this study focuses on total carbon emissions and total electricity generation, revealing that the IEA’s total carbon emissions exceed those of the MEE by 9.71%. This exploratory analysis of the discrepancies in China’s AEFs provides valuable insights and a foundational basis for further research.

Suggested Citation

  • Feng Chen & Jingyu Lei & Zilong Liu & Xingchuang Xiong, 2025. "A Comparative Study on the Average CO 2 Emission Factors of Electricity of China," Energies, MDPI, vol. 18(3), pages 1-16, January.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:654-:d:1580765
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    References listed on IDEAS

    as
    1. Howard, B. & Waite, M. & Modi, V., 2017. "Current and near-term GHG emissions factors from electricity production for New York State and New York City," Applied Energy, Elsevier, vol. 187(C), pages 255-271.
    2. Qu, Shen & Wang, Hongxia & Liang, Sai & Shapiro, Avi M. & Suh, Sanwong & Sheldon, Seth & Zik, Ory & Fang, Hong & Xu, Ming, 2017. "A Quasi-Input-Output model to improve the estimation of emission factors for purchased electricity from interconnected grids," Applied Energy, Elsevier, vol. 200(C), pages 249-259.
    3. Ji, Ling & Liang, Sai & Qu, Shen & Zhang, Yanxia & Xu, Ming & Jia, Xiaoping & Jia, Yingtao & Niu, Dongxiao & Yuan, Jiahai & Hou, Yong & Wang, Haikun & Chiu, Anthony S.F. & Hu, Xiaojun, 2016. "Greenhouse gas emission factors of purchased electricity from interconnected grids," Applied Energy, Elsevier, vol. 184(C), pages 751-758.
    4. Wang, Chen & Raza, Syed Ali & Adebayo, Tomiwa Sunday & Yi, Sun & Shah, Muhammad Ibrahim, 2023. "The roles of hydro, nuclear and biomass energy towards carbon neutrality target in China: A policy-based analysis," Energy, Elsevier, vol. 262(PA).
    5. Jia, Min & Zhang, Zhe & Zhang, Li & Zhao, Liang & Lu, Xinbo & Li, Linyan & Ruan, Jianhui & Wu, Yunlong & He, Zhuoming & Liu, Mei & Jiang, Lingling & Gao, Yajing & Wu, Pengcheng & Zhu, Shuying & Niu, M, 2024. "Optimization of electricity generation and assessment of provincial grid emission factors from 2020 to 2060 in China," Applied Energy, Elsevier, vol. 373(C).
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