Abstract
Based on China's "30•60 dual carbon" goal, this paper takes the carbon emissions of China's power industry as the research object, and firstly improves the traditional carbon emission factor method to obtain the carbon emissions of the power industry in the relevant research years. The extended STIRPAT model is used to analyze the main factors affecting the carbon emissions of China's power industry, and three scenarios are set to predict the carbon peak time and peak carbon emissions of the power industry. The research results show that the economic development level is the power The main driving force of carbon emissions in the industry; through the scenario analysis, it can be seen that adjusting the power energy structure and reducing coal consumption for power supply can achieve the carbon emissions peaking goal of the power industry in 2030.
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