Unlocking the potential of urban EV battery recycling: A dual optimization model

被引:0
|
作者
Ma, Zhonglin [1 ]
Zhao, Cheng [2 ]
Woo, Soomin [3 ]
Wang, Chao [1 ]
机构
[1] Shandong Univ, Inst Blue & Green Dev, Weihai 264209, Peoples R China
[2] Shandong Univ, SDU ANU Joint Sci Coll, Weihai 264209, Peoples R China
[3] Konkuk Univ, Dept Smart Vehicle Engn, Seoul 05029, South Korea
关键词
Battery recycling; Dual optimization; Reverse logistics; Subsidy policies; Electric vehicles; Recycling network; REVERSE LOGISTICS;
D O I
10.1016/j.jenvman.2024.123301
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As electric vehicles increase, they reduce greenhouse gas emissions but pose recycling challenges for their batteries. Economic and environmental impacts are significant concerns. This study proposes a dual optimization approach to develop a city-wide recycling network benefiting vehicle owners and recycling facilities. Focusing on Xi'an City, China, we project future battery recycling volumes and analyze optimal network setups at various stages. In reverse logistics and network design research, decentralized battery processing centers and centralized energy storage centers can greatly improve consumer benefits and ensure formal recycling practices. In research on consumer engagement and behavior, it's important to design recycling subsidies wisely and enhance consumer motivation to participate in formal recycling. As the number of retired vehicle batteries grows, the government should consider shifting subsidies from consumers to centralized recycling centers to maintain a sustainable and efficient recycling system.
引用
收藏
页数:14
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