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Review of multi-objective optimization in long-term energy system models

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摘要 Modeling and optimizing long-term energy systems can provide solutions to various energy and environmental policies involving public-interest issues.The conventional optimization of long-term energy system models focuses on a single economic goal.However,the increasingly complex demands of energy systems necessitate the comprehensive consideration of multiple dimensional objectives,such as environmental,social,and energy security.Therefore,a multi-objective optimization of long-term energy system models has been developed.Herein,studies pertaining to the multi-objective optimization of long-term energy system models are summarized;the optimization objectives of long-term energy system models are classified into economic,environmental,social,and energy security aspects;and the multi-objective optimization methods are classified and explained based on the preferential expression of decision makers.Finally,the key development direction of the multi-objective optimization of energy system models is discussed.
出处 《Global Energy Interconnection》 EI CSCD 2023年第5期645-660,共16页 全球能源互联网(英文版)
基金 This research was financially supported by the National Natural Science Foundation of China(No.72371102).
作者简介 Wenxin Chen is working towards master’s degree at East China University of Science and Technology,Shanghai.Her research interests include energy technology system modeling,multi-objective optimization.y30211357@mail.ecust.edu.cn;Hongtao Ren received the Doctor’s degree at Japan Advanced Institute of Science and Technology,Japan,2007.He is working in East China University of Science and Technology,Shanghai.His research interests include energy technology system modeling,energy system multi-criteria analysis.ren@ecust.edu.cn;Wenji Zhou received the Doctor’s degree at Tsinghua University,Beijing,2011.He is working in Renmin University of China,Beijing.His research interests include energy system integration modeling,energy economy.zhouwenji@ruc.edu.cn。
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