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DOI10.3390/en17020472
Prediction Model of Electric Power Carbon Emissions Based on Extended System Dynamics
Wu, Zhenfen; Wang, Zhe; Yang, Qiliang; Li, Changyun
发表日期2024
EISSN1996-1073
起始页码17
结束页码2
卷号17期号:2
英文摘要In response to global climate change, China has committed to peaking carbon emissions by 2030 and achieving carbon neutrality by 2060, commonly known as the 30-60 Dual Carbon. Under the background of 30-60 Dual Carbon, this article takes the electric power industry, which is the main industry contributing to China's carbon emission, as the research object, explores the time and peak value of the carbon peak of the electric power industry, and analyzes whether carbon neutrality can be realized under the peak method, so as to get the carbon neutrality path of the electric power industry and serve as the theoretical basis for the formulation of relevant policies. The Environmental Kuznets Curve inspection and the relationship analysis are carried out, then the system dynamics model is constructed, the carbon emissions from 2020 to 2040 are simulated, and the peak time is predicted. Three different scenarios are set to explore the path of electricity carbon neutralization under the premise of a fixed peak. It is shown that Gross Domestic Product per capita index factors have the largest positive contribution, and thermal power share index factors have the largest negative contribution to electricity carbon emissions. Based on the current efforts of the new policy, carbon emissions can achieve the peak carbon emissions' target before 2030, and it is expected to peak in 2029, with a peak range of about 4.95 billion tons. After the power industry peaks in 2029, i.e., Scenario 3, from coal 44%, gas 9% (2029) to coal 15%, gas 7% (2060), where the CCUS technology is widely used, this scenario can achieve carbon neutrality in electricity by 2060. Adjusting the power supply structure, strictly controlling the proportion of thermal power, optimizing the industrial structure, and popularization of carbon capture, utilization, and storage technology will all contribute to the dual carbon target of the power sector.
英文关键词electricity carbon emission; stochastic impacts by regression on population, affluence, and technology (STIRPAT) model; EKC; system dynamics; carbon neutrality
语种英语
WOS研究方向Energy & Fuels
WOS类目Energy & Fuels
WOS记录号WOS:001149463700001
来源期刊ENERGIES
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/304310
作者单位Kunming University of Science & Technology; Kunming University of Science & Technology; Kunming University of Science & Technology; Shandong University of Science & Technology
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GB/T 7714
Wu, Zhenfen,Wang, Zhe,Yang, Qiliang,et al. Prediction Model of Electric Power Carbon Emissions Based on Extended System Dynamics[J],2024,17(2).
APA Wu, Zhenfen,Wang, Zhe,Yang, Qiliang,&Li, Changyun.(2024).Prediction Model of Electric Power Carbon Emissions Based on Extended System Dynamics.ENERGIES,17(2).
MLA Wu, Zhenfen,et al."Prediction Model of Electric Power Carbon Emissions Based on Extended System Dynamics".ENERGIES 17.2(2024).
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