电池(电)
分类
钴
锂(药物)
锂离子电池
废物管理
过程(计算)
工艺工程
工程类
计算机科学
环境科学
材料科学
操作系统
冶金
功率(物理)
程序设计语言
内分泌学
物理
医学
量子力学
作者
Dustin Weigl,David L. Young
标识
DOI:10.1016/j.resconrec.2023.106936
摘要
The United States has identified several lithium-ion battery materials as critical for reaching the national emission reduction targets that have been set in accordance with the 2015 Paris Agreement. However, with few natural resources available domestically, there is a rapidly growing focus on the development of a domestic recycling industry to recover these materials from end-of-life batteries. In this paper, we use the Lithium-Ion Battery Resources Assessment (LIBRA) system dynamics model to evaluate the impact of automated battery sorting technology in terms of the shares of cobalt and nickel that are recovered through recycling. Findings show that automated sorting has clear benefits over manual sorting methods by helping recyclers selectively process high-cobalt batteries. By maximizing cobalt recovery, recycling becomes more profitable and drives greater investment in recycling capacity, resulting in a higher share of nickel and cobalt recovered from EOL batteries over time.
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