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

doi:10.16183/j.cnki.jsjtu.2021.364

Abstract

Abstract:

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

CLC Number:

F407.6
X 321

CHEN Yun, SHEN Hao, WANG Jiayu, ZHAO Wenkai, PAN Zhijun, WANG Xiaohui, XIAO Yinjing. Real-Time Calculation of Carbon Emissions in County-Level Administrative Regions Based on ‘Energy Brain’[J]. Journal of Shanghai Jiao Tong University, 2022, 56(9): 1111-1117.

Figures/Tables 4

References 18

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能源用户编号	典型日1负荷/kWh			…	2020年6月能源总消耗量
能源用户编号	时间点1	时间点2	时间点3	…	电力/kWh	天然气/m³	水/t
42	1289.4	1158.15	1135.05	…	1833161	192491	11013
49	1535.2	1836	1757.6	…	1203562	60455	4400
61	395.4	406.2	421.2	…	601560	22971	3879
65	4521.3	6239.1	6516.3	…	4260270	0	17460
66	2171.3	1929.6	2106.1	…	1052040	6855	3224
71	5201	5279.4	5359.2	…	2673789	47696	9629