Journal of Shanghai Jiao Tong University ›› 2022, Vol. 56 ›› Issue (9): 1111-1117.doi: 10.16183/j.cnki.jsjtu.2021.364

• New Type Power System and the Integrated Energy •     Next Articles

Real-Time Calculation of Carbon Emissions in County-Level Administrative Regions Based on ‘Energy Brain’

CHEN Yun1, SHEN Hao1, WANG Jiayu1, ZHAO Wenkai1, PAN Zhijun1, WANG Xiaohui1, XIAO Yinjing2()   

  1. 1. Pudong Power Supply Company, State Grid Shanghai Municipal Electric Power Company, Shanghai 200122, China
    2. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2021-09-18 Online:2022-09-28 Published:2022-10-09
  • Contact: XIAO Yinjing


Existing calculation methods of carbon emission cannot well meet the needs of gradual refinement and real-time of carbon emission regions. In order to ensure the real-time and accuracy of carbon emissions responsibility allocation, a real-time calculation method of carbon emissions in urban regions is proposed. The improved K-means clustering algorithm is used to cluster and combine the operating periods and operating scenarios of the urban area energy load,so as to obtain the typical carbon emission characteristics. The regional unit electricity carbon emission is proposed as a carbon emission indicator, the operating period and scenario are classified, and the unit electricity carbon emission and the total carbon emission of urban regions for each cluster are calculated. The proposed algorithm is verified based on part of the historical data of energy consumption in the energy brain of a certain region in eastern China. The results show that the clustering method and carbon emission indicators can effectively calculate the total carbon emission of urban regions in real-time.

Key words: carbon emission calculation, energy brain, urban region, K-means clustering algorithm, unit electricity carbon emission

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