Assessing Carbon Emission Reduction Potential: A Case Study of Low Carbon Demand Response Technology in Fangshan District, Beijing

Zhiqiang Dai, Xun Pei, Yunuo Xu, Tianyi Zhang () and Lanchun Lv ()
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Zhiqiang Dai: State Grid Beijing Fangshan Electric Power Supply Company, Beijing 102400, China
Xun Pei: State Grid Beijing Fangshan Electric Power Supply Company, Beijing 102400, China
Yunuo Xu: State Grid Beijing Fangshan Electric Power Supply Company, Beijing 102400, China
Tianyi Zhang: Tsinghua Sichuan Energy Internet Research Institute, Chengdu 610275, China
Lanchun Lv: Department of Electrical Engineering, Tsinghua University, Beijing 100080, China

Sustainability, 2024, vol. 16, issue 4, 1-16

Abstract: Responding to the low-carbon demands of power users helps the power industry unlock carbon emission reduction potential, transmit carbon reduction responsibilities, and hold significant importance for energy conservation and carbon reduction. Currently, there is relatively limited empirical research on carbon emission demand responses in different industries. Therefore, this article, based on dynamic carbon accounting technology and combined with power planning and operation simulation data in Fangshan District, proposes a low-carbon demand response mechanism guided by user-side carbon reduction, using dynamic carbon emission factors as guiding signals. Furthermore, an assessment model for the carbon reduction potential of a low-carbon demand response technology is constructed. Finally, empirical research is conducted on the estimated carbon emission reduction of 108 enterprises in 6 different industries in Fangshan District based on the assessment model. The results indicate that carrying out low-carbon demand response can reduce enterprise carbon emissions, and changes in enterprise capacity and industry affiliation will have a significant impact on the carbon reduction effect. This study introduces a novel approach to the low-carbon development of the power system load side, offering a fresh perspective on the empirical analysis of low-carbon development for typical receiving-end power grids.

Keywords: carbon emission; low carbon demand response; carbon neutrality; scenario analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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