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Dynamic Accounting Model and Method for Carbon Emissions on the Power Grid Side

Author

Listed:
  • Hengjing He

    (Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China
    Guangdong Provincial Key Laboratory of Digital Grid Technology, Guangzhou 510663, China)

  • Shangli Zhou

    (Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China
    Guangdong Provincial Key Laboratory of Digital Grid Technology, Guangzhou 510663, China)

  • Leping Zhang

    (Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China
    Guangdong Provincial Key Laboratory of Digital Grid Technology, Guangzhou 510663, China)

  • Wei Zhao

    (Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China
    Guangdong Provincial Key Laboratory of Digital Grid Technology, Guangzhou 510663, China)

  • Xia Xiao

    (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430070, China)

Abstract

Currently, in China’s power grid, the accounting of carbon emissions has shortcomings such as unclear accounting boundaries, slow updating of carbon emission factors (EFs), and a lack of spatiotemporal characteristics. In this study, a dynamic accounting model for carbon emission was constructed based on carbon flow theory and the QIO (Quasi-Input-Output) model using the transmission side, the substation side, and the distribution side as accounting nodes. By utilizing the electricity metering data and carbon EF on the input side of the node, the total carbon emissions flowing into the node could be calculated. Furthermore, based on the electricity metering data on the output side of the node, the carbon emissions and carbon EF flowing out of the node could be calculated. The accounting results of carbon emissions and carbon EF are characterized by flexibility and dynamicity in both spatial and temporal dimensions. Finally, the practicality of the method has been demonstrated through a substation node. The accounting model has a positive impact on accurate carbon emission accounting for the power grid, better tracing of carbon emissions, and effective user guidance on active carbon emission reduction.

Suggested Citation

  • Hengjing He & Shangli Zhou & Leping Zhang & Wei Zhao & Xia Xiao, 2023. "Dynamic Accounting Model and Method for Carbon Emissions on the Power Grid Side," Energies, MDPI, vol. 16(13), pages 1-10, June.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:5016-:d:1181784
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    References listed on IDEAS

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    1. 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.
    2. Machado, Giovani & Schaeffer, Roberto & Worrell, Ernst, 2001. "Energy and carbon embodied in the international trade of Brazil: an input-output approach," Ecological Economics, Elsevier, vol. 39(3), pages 409-424, December.
    3. Su, Bin & Ang, B.W., 2014. "Input–output analysis of CO2 emissions embodied in trade: A multi-region model for China," Applied Energy, Elsevier, vol. 114(C), pages 377-384.
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