[Carbon Peak Prediction of Energy Consumption in China: Based on STIRPAT Extended Model].

Q2 Environmental Science
Bao-Guo Shan, Li Yao, Cheng-Long Zhang, Xian-Dong Tan
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Abstract

Achieving carbon peak before 2030 and carbon neutrality in 2060 is the solemn commitment of the Chinese government to the international community. It is important to scientifically identify the key influencing factors and accurately predict carbon peak value and time for achieving the dual carbon targets in China. On the basis of the economic and energy consumption data from 1980 to 2022, a STIRPAT extended multivariate-nonlinear model was built, which was fitted by a ridge regression to examine the relationships between carbon emissions of energy consumption and seven influencing factors, including population, GDP per capita, energy intensity, secondary industry proportion, fossil energy proportion, electrification rate, and urbanization rate. Based on the proposed STIRPAT extended model, predictions of carbon emissions of energy consumption were made for the period from 2023-2035 under three different scenarios. The results showed that: ① There were five factors that increased the carbon emissions including population, urbanization rate, secondary industry proportion, GDP per capita, and electrification rate. The degree of influence decreased in turn. Fossil energy proportion and energy intensity were the two factors that restrained the carbon emissions. The influencing degree of fossil energy proportion was the biggest, and that of energy intensity was the smallest. ② During different stages of economic development, the roles and contributions of the seven factors changed significantly. In particular, the effects of energy intensity, secondary industry proportion, and fossil energy proportion resulted in the turning changes, which reflected the periodical characteristics of carbon emissions in different stages. ③ Carbon emissions of energy consumption will achieve a peak during 2028-2032 in China. The peak was 11.66-12.75 billion tons. Under the baseline scenario, the peak was 12.04 billion tons, which will be fulfilled in 2030. The peak of the low-carbon scenario was 11.66 billion tons in 2028, which was 3.16% lower than that of the baseline scenario. The peak of the high-carbon scenario was 12.75 billion tons in 2032, which was 5.90% higher than that of the baseline scenario. Based on the research results, reasonable suggestions such as accelerating renewable energy development, increasing the electrification rate, optimizing the economic structure, and improving energy efficiency are put forward to ensure that China will achieve its carbon peak target before 2030.

中国能源消费碳峰值预测:基于STIRPAT扩展模型[j]。
2030年前实现碳峰值,2060年实现碳中和,是中国政府对国际社会的庄严承诺。科学识别关键影响因素,准确预测碳峰值和时间,对实现中国双碳目标具有重要意义。以1980 - 2022年中国经济和能源消费数据为基础,建立STIRPAT扩展多变量非线性模型,采用岭回归拟合,考察了中国能源消费碳排放与人口、人均GDP、能源强度、第二产业比重、化石能源比重、电气化率、城镇化率等7个影响因素之间的关系。基于STIRPAT扩展模型,对2023-2035年三种不同情景下的中国能源消费碳排放进行了预测。结果表明:①人口、城镇化率、第二产业比重、人均GDP和电气化率5个因素对碳排放的增加有显著影响。影响程度依次下降。化石能源比重和能源强度是抑制碳排放的两个因素。化石能源比重的影响程度最大,能源强度的影响程度最小。②在经济发展的不同阶段,7个要素的作用和贡献变化显著。特别是能源强度、第二产业比重和化石能源比重的影响导致了转折变化,反映了不同阶段碳排放的周期性特征。③中国能源消费碳排放将在2028-2032年达到峰值。峰值为116.6 - 127.5亿吨。在基线情景下,峰值为120.4亿吨,将在2030年实现。2028年低碳情景的峰值为116.6亿吨,比基线情景低3.16%。高碳情景的峰值在2032年达到127.5亿吨,比基线情景高出5.90%。根据研究结果,提出了加快可再生能源发展、提高电气化率、优化经济结构、提高能源效率等合理建议,以确保中国在2030年前实现碳峰值目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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