中国钢铁工业碳排放:峰值情景与中和路径[j]。

Q2 Environmental Science
Pan-Lu Zhang, Qin-Jun Du, Kai-Xuan Zhang, Wen-Tao Tian
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引用次数: 0

摘要

为探索中国钢铁行业未来碳排放峰值情景及实现碳排放中和的有效路径,首先采用广义分割指数法(GDIM)分析了2001 - 2020年中国钢铁行业碳排放变化的影响因素,然后采用蒙特卡罗模拟方法对2021 - 2035年中国钢铁行业碳排放演变趋势进行了动态情景模拟。结果表明:①经济产出和粗钢产量是影响钢铁行业碳排放增加的最主要因素;在影响钢铁行业碳排放减少的因素中,经济产出碳强度的影响最显著,其次是生产碳强度,吨钢能耗和能源产出率对碳排放减少的影响不显著。②在情景BAU、情景L和情景S下,钢铁行业碳排放可分别在2030年、2025年和2020年达到峰值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Carbon Emission for China's Iron and Steel Industry: Peak Scenarios and Neutralization Pathways].

To explore the future carbon emission peak scenarios of China's iron and steel industry as well as the effective pathways for carbon emission neutrality, the generalized Divisia index method (GDIM) was first used to analyze the influencing factors of carbon emission changes from 2001 to 2020, and then Monte Carlo simulation was used to conduct a dynamic scenario simulation of the carbon emission evolution trends from 2021 to 2035. The results showed that: ① Economic output and crude steel production were the most important factors contributing to the increase in carbon emission in the iron and steel industry; among the factors contributing to the decrease, the carbon intensity of economic output had the most significant effect, followed by the carbon intensity of production, and the energy consumption per ton of steel and the energy output rate did not have a significant effect on the decrease in carbon emissions. ② Under the scenario BAU, scenario L, and scenario S, the iron and steel industry could achieve carbon emission peaking in 2030, 2025, and 2020, respectively.

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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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