[基于LEAP模型的安徽省能源需求与碳排放预测]。

Q2 Environmental Science
Shan-Shan Li, Yu-Qing Ma, Wei-Ling Kong, Yu-Jie Wang
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引用次数: 0

摘要

中国是世界上最大的能源消耗国和碳排放国,安徽作为中国的能源大省,探索其高效的碳减排路径,对中国实现碳中和目标具有重要意义。基于安徽省经济社会发展预测数据,构建LEAP-Anhui模型,对安徽省未来能源需求和碳排放进行深入分析,探索各行业节能减排的最优路径。结果表明:①在基线情景下,到2060年,安徽省能源需求总量为2.05亿吨,碳排放总量为1.77亿吨,无法实现碳中和目标;在综合情景下,安徽省的能源总需求为1.39亿吨,碳排放总量为887亿吨,目标是到2059年实现碳中和。②在能源需求方面,产业结构调整情景下,工业能源需求减少至102.98 Mt,建筑节能情景下,建筑业能源需求稳步减少至307 Mt,低碳生活情景下,居民能源需求减少至1326 Mt,电力加速情景下,电力转换行业煤炭能源需求减少至1144 Mt。工业能效提升情景工业碳排放量大幅减少至6442万吨,建筑能效情景建筑业碳排放量稳步减少至229万吨,新能源汽车推广情景交通运输业碳排放量减少至454万吨,低碳生活情景住宅碳排放量减少至1228万吨,电加速情景下电力转换部门碳排放量减少至1320万吨。研究成果对推动“双碳”战略的实施具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Energy Demand and Carbon Emission Prediction in Anhui Province Based on LEAP Model].

China is the world's largest energy consuming and carbon emitting country, and exploring the efficient carbon reduction path of Anhui, as a major energy province in China, is of great significance for China to achieve its carbon neutrality goals. Based on the economic and social development forecast data of Anhui Province, a LEAP-Anhui model is constructed to conduct in-depth analysis of the future energy demand and carbon emissions in Anhui Province and explore the optimal path for energy conservation and emission reduction in various industries. The results showed that: ① By 2060, under the baseline scenario, the total energy demand in Anhui Province was predicted to be 205 Mt, and the total carbon emissions would be 177 Mt, failing to achieve the carbon neutrality target. In a comprehensive scenario, the total energy demand in Anhui Province would be 139 Mt, and the total carbon emissions would be 87 Mt, aiming to achieve carbon neutrality by 2059. ② In terms of energy demand, the industrial restructuring scenario reduced the industrial energy demand to 102.98 Mt, the building energy-saving scenario steadily reduced the energy demand in the construction industry to 3.07 Mt, the low-carbon living scenario reduced the energy demand for residents to 13.26 Mt, and the electrical acceleration scenario reduced the coal energy demand in the power conversion sector to 11.44 Mt. ③ In terms of carbon emissions, the industrial energy efficiency improvement scenario significantly reduced industrial carbon emissions to 64.42 Mt, the building energy efficiency scenario steadily reduced construction industry carbon emissions to 2.29 Mt, the new energy vehicle promotion scenario reduced transportation industry carbon emissions to 4.54 Mt, the low-carbon living scenario reduced residential carbon emissions to 12.28 Mt, and the electrical acceleration scenario reduced power conversion sector carbon emissions to 13.2 Mt. The research results are of great significance in promoting the implementation of the "dual carbon" strategy.

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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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