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DOI10.1016/j.enpol.2020.112108
Can China's industrial sector achieve energy conservation and emission reduction goals dominated by energy efficiency enhancement? A multi-objective optimization approach
He Y.; Liao N.; Lin K.
发表日期2021
ISSN03014215
卷号149
英文摘要Whether China could meet its 2030 energy conservation and emission reduction goals depends on whether energy efficiency serves as the most important measure of carbon emission reduction. This study has explored how industrial sector could achieve the goals on the premise of maintaining certain economic growth from the perspective of energy efficiency enhancement. The industrial correlation model and multi-objective optimization model are combined to find out the path of energy efficiency improvement, with the decision variables being economic output and energy intensity of various sub-sectors. Through intelligent optimization algorithm, nine paths of energy efficiency improvement are obtained and the corresponding optimal path is found out. The results indicate that regardless of the expected high-speed or medium-speed economic growth, the optimized path could achieve the goal of carbon emission peak, mainly depends on energy efficiency improvement. In the scenario of high-speed economic growth, the amount of CO2 emission could be reduced by 58.31% through energy efficiency enhancement, and further reduced by 28.22% through industrial restructuring; while in the medium-speed growth scenario, the CO2 emission amount could be reduced by 57.88% employing improving energy efficiency, and further be reduced by 29.44% employing industrial restructuring. © 2020 Elsevier Ltd
关键词Energy conservation and emission reductionEnergy efficiency improvementIndustrial sectorsMulti-objective optimizationScenario analysis
英文关键词Carbon; Carbon dioxide; Emission control; Industrial economics; Multiobjective optimization; Carbon emission reductions; Correlation modeling; Efficiency enhancement; Energy conservation and emission reductions; Energy efficiency improvements; Industrial restructuring; Intelligent optimization algorithm; Multi-objective optimization models; Energy efficiency; economic growth; emission control; energy conservation; energy efficiency; industrial enterprise; optimization; scenario analysis; China
语种英语
来源期刊Energy Policy
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/205138
作者单位School of Management, Guangdong University of Technology, Guangzhou, 510520, China
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GB/T 7714
He Y.,Liao N.,Lin K.. Can China's industrial sector achieve energy conservation and emission reduction goals dominated by energy efficiency enhancement? A multi-objective optimization approach[J],2021,149.
APA He Y.,Liao N.,&Lin K..(2021).Can China's industrial sector achieve energy conservation and emission reduction goals dominated by energy efficiency enhancement? A multi-objective optimization approach.Energy Policy,149.
MLA He Y.,et al."Can China's industrial sector achieve energy conservation and emission reduction goals dominated by energy efficiency enhancement? A multi-objective optimization approach".Energy Policy 149(2021).
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