IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i13p5016-d1181784.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/13/5016/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/13/5016/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Haoran & Li, Ruixiong & Cai, Xingrui & Zheng, Chaoyue & Liu, Laibao & Liu, Maodian & Zhang, Qianru & Lin, Huiming & Chen, Long & Wang, Xuejun, 2022. "Do electricity flows hamper regional economic–environmental equity?," Applied Energy, Elsevier, vol. 326(C).
    2. Stefan Ederer & Stefan Weingärtner, 2014. "Structural Disparities in Carbon Dioxide Consumption and Trade in the World Economy. WWWforEurope Policy Paper No. 16," WIFO Studies, WIFO, number 47498, February.
    3. Zhang, Yan & Zheng, Hongmei & Yang, Zhifeng & Su, Meirong & Liu, Gengyuan & Li, Yanxian, 2015. "Multi-regional input–output model and ecological network analysis for regional embodied energy accounting in China," Energy Policy, Elsevier, vol. 86(C), pages 651-663.
    4. Boglioni, Michele & Zambelli, Stefano, 2018. "Specialization patterns and reduction of CO2 emissions. An empirical investigation of environmental preservation and economic efficiency," Energy Economics, Elsevier, vol. 75(C), pages 134-149.
    5. Yang, Ranran & Long, Ruyin & Yue, Ting & Shi, Haihong, 2014. "Calculation of embodied energy in Sino-USA trade: 1997–2011," Energy Policy, Elsevier, vol. 72(C), pages 110-119.
    6. Minihan, Erin S. & Wu, Ziping, 2011. "The Potential Economic and Environmental Costs of GHG Mitigation Measures for Cattle Sectors in Northern Ireland," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108779, Agricultural Economics Society.
    7. Lixiao Zhang & Qiuhong Hu & Fan Zhang, 2014. "Input-Output Modeling for Urban Energy Consumption in Beijing: Dynamics and Comparison," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-11, March.
    8. Kakali Mukhopadhyay & Debesh Chakraborty, 2005. "Is liberalization of trade good for the environment? Evidence from India," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 12(1), pages 109-136, June.
    9. Haoran Wang & Toshiyuki Fujita, 2023. "A Review of Research on Embodied Carbon in International Trade," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    10. Chen, G.Q. & Chen, Z.M., 2011. "Greenhouse gas emissions and natural resources use by the world economy: Ecological input–output modeling," Ecological Modelling, Elsevier, vol. 222(14), pages 2362-2376.
    11. Jinghan Chen & Wen Zhou & Hongtao Yang, 2019. "Is Embodied Energy a Better Starting Point for Solving Energy Security Issues?—Based on an Overview of Embodied Energy-Related Research," Sustainability, MDPI, vol. 11(16), pages 1-22, August.
    12. Moinul Islam & Keiichiro Kanemoto & Shunsuke Managi, 2016. "Impact of Trade Openness and Sector Trade on Embodied Greenhouse Gases Emissions and Air Pollutants," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 494-505, June.
    13. Nong, Duy & Nguyen, Duong Binh & Nguyen, Trung H. & Wang, Can & Siriwardana, Mahinda, 2020. "A stronger energy strategy for a new era of economic development in Vietnam: A quantitative assessment," Energy Policy, Elsevier, vol. 144(C).
    14. Suvajit Banerjee, 2021. "Addressing the carbon emissions embodied in India’s bilateral trade with two eminent Annex-II parties: with input–output and spatial decomposition analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5430-5464, April.
    15. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Xue, Jin-Jun, 2019. "Changes in carbon intensity globally and in countries: Attribution and decomposition analysis," Applied Energy, Elsevier, vol. 235(C), pages 1492-1504.
    16. Papathanasopoulou, Eleni & Jackson, Tim, 2008. "Fossil resource trade balances: Emerging trends for the UK," Ecological Economics, Elsevier, vol. 66(2-3), pages 492-505, June.
    17. João Tovar Jalles, 2019. "Polluting Emissions and GDP: Decoupling Evidence from Brazilian States," Working Papers REM 2019/0104, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    18. Pi-qin Gong & Bao-jun Tang & Yu-chong Xiao & Gao-jie Lin & Jian-yun Liu, 2016. "Research on China export structure adjustment: an embodied carbon perspective," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 129-151, November.
    19. Jinhua Shao & Brayan Tillaguango & Rafael Alvarado & Santiago Ochoa-Moreno & Johanna Alvarado-Espejo, 2021. "Environmental Impact of the Shadow Economy, Globalisation, Trade and Market Size: Evidence Using Linear and Non-Linear Methods," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
    20. Yunfeng, Yan & Laike, Yang, 2010. "China's foreign trade and climate change: A case study of CO2 emissions," Energy Policy, Elsevier, vol. 38(1), pages 350-356, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:5016-:d:1181784. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.