Design a reverse logistics network for end-of-life power batteries: A case study of Chengdu in China

被引:11
作者
Lin, Jing [1 ]
Li, Xin [1 ]
Zhao, Yifei [1 ]
Chen, Wu [2 ]
Wang, Minxi [1 ]
机构
[1] Chengdu Univ Technol, Coll Management Sci, Chengdu 610059, Peoples R China
[2] Univ Southern Denmark, Dept Green Technol, SDU Life Cycle Engn, DK-5230 Odense, Denmark
关键词
Power battery; Reverse logistics network; Cost minimization; Urban mine; MATERIAL FLOW-ANALYSIS; MULTIOBJECTIVE OPTIMIZATION; LITHIUM; UNCERTAINTY; MANAGEMENT; MODEL; ENVIRONMENT; STRATEGIES; OWNERSHIP; VEHICLES;
D O I
10.1016/j.scs.2023.104807
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
China's policies contributed to the significantly growing sales of electric vehicles (EVs). Unproperly managing giant amounts of end-of-life (EOL) power batteries could result in resource waste and negative environmental impacts. Accelerating the construction of a reverse logistics network (RLN) for EOL power batteries in Chengdu plays an exemplary role in Western China. Using the mixed-integer linear programming (MILP) model with the aim of cost minimization, we design an RLN for EOL batteries in Chengdu based on the existing collection sites. Considering costs, sales of refurbished batteries and metals from EOL batteries, the network's profit in 2022 amounted to RMB 88.84 million. The RLN still faces challenges. 21,192 tons of EOL batteries that don't flow into the network prevent the recovery of many metal resources. In addition, wide variation in scrapping volumes by district, uneven distribution of nodes, and a few alternative sites put more load on nodes closer to the central district and aren't conducive to cost reduction and digestion of the urban mine. We agree that traceability management, the implementation of extended producer responsibility, increasing nodes in surrounding districts while rationalizing the layout, and government incentives and supervision contribute to the sustainability of the economy and resource supply.
引用
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页数:13
相关论文
共 74 条
  • [1] US end-of-life electric vehicle batteries: Dynamic inventory modeling and spatial analysis for regional solutions
    Ai, Ning
    Zheng, Junjun
    Chen, Wei-Qiang
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2019, 145 : 208 - 219
  • [2] Electric vehicle battery state changes and reverse logistics considerations
    Akram, Muhammad Nadeem
    Abdul-Kader, Walid
    [J]. INTERNATIONAL JOURNAL OF SUSTAINABLE ENGINEERING, 2021, 14 (03) : 390 - 403
  • [3] Modelling reverse supply chain through system dynamics for realizing the transition towards the circular economy: A case study on electric vehicle batteries
    Alamerew, Yohannes A.
    Brissaud, Daniel
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 254
  • [4] Electric vehicles lithium-ion batteries reverse logistics implementation barriers analysis: A TISM-MICMAC approach
    Azadnia, Amir Hossein
    Onofrei, George
    Ghadimi, Pezhman
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2021, 174
  • [5] A two-stage stochastic programming model for multi-period reverse logistics network design with lot-sizing
    Azizi, Vahid
    Hu, Guiping
    Mokari, Mahsa
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2020, 143
  • [6] A framework of reverse logistics for the automobile industry
    Chan, Felix T. S.
    Chan, H. K.
    Jain, Vipul
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2012, 50 (05) : 1318 - 1331
  • [7] Li-Ion Battery Performance Degradation Modeling for the Optimal Design and Energy Management of Electrified Propulsion Systems
    Chen, Li
    Tong, Yuqi
    Dong, Zuomin
    [J]. ENERGIES, 2020, 13 (07)
  • [8] Chengdu Finance Bureau, 2022, CHENGD NEW EN VEH MU
  • [9] Chengdu Municipal Bureau of Economy and Information Technology, 2021, RUL IMPL PIL WORK NE
  • [10] Chengdu Municipal People's Government, 2023, IMPL OP CHENGD MUN P