Analysis and research on carbon electricity map based on power topology

Hanyun Wang; Tao Wang; Chen Tan; Shouqin Wang; Hao Xu; Shengnan Liu

doi:10.1117/12.2634883

25 April 2022 Analysis and research on carbon electricity map based on power topology

Hanyun Wang, Tao Wang, Chen Tan, Shouqin Wang, Hao Xu, Shengnan Liu

Proceedings Volume 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022); 122442W (2022) https://doi.org/10.1117/12.2634883
Event: 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 2022, Guilin, China

Abstract

The power industry is the pioneer of energy conservation and emission reduction in China, and energy conservation and emission reduction serve as one of the most important tasks in China. According to the characteristics of the diversity of power sources, many scholars in China have studied the power carbon footprint and obtained some progress results. In accordance with the current situation of the power industry in Zhejiang Province, based on the net primary productivity model, the IPCC carbon emission method is used to form an applicable power carbon footprint calculation model. The results show that the power carbon footprint of Zhejiang Province increased from 8.399×10⁶ hm² to 9.659×10⁶ hm² and then reduced to 5.821×10⁶ hm² , while the carbon footprint of natural gas power has increased year by year, from 0.022×10⁶ hm² to 0.185×10⁶ hm² , and the carbon footprint intensity of power decreased from 17.75×10^-4hm² ·10000 yuan^-1 to 9.01 ×10^-4hm² ·10000 yuan^-1, indicating that the diversity of power structure in Zhejiang Province is increasing day by day. This paper provides a theoretical basis for energy structure optimization and has a certain application prospect and policy reference value.

Citation Download Citation

Hanyun Wang, Tao Wang, Chen Tan, Shouqin Wang, Hao Xu, and Shengnan Liu "Analysis and research on carbon electricity map based on power topology", Proc. SPIE 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 122442W (25 April 2022); https://doi.org/10.1117/12.2634883

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