Evaluating circular economy strategies for raw material recovery from end-of-life lithium-ion batteries: A system dynamics model

锂(药物) 循环经济 离子 原材料 材料科学 工程类 化学 医学 有机化学 生物 生态学 内分泌学
作者
Bhanu Pratap,T. V. Krishna Mohan,R. K. Amit,Shankar Venugopal
出处
期刊:Sustainable Production and Consumption [Elsevier]
卷期号:50: 191-204
标识
DOI:10.1016/j.spc.2024.07.027
摘要

Across the globe, with the increasing emphasis on decarbonization, lithium-ion battery (LIB) demand for mobility (which serves as a power source for electric vehicles) and stationary energy storage sector (SESs) increases, which generates a large stock of end-of-life (EOL) LIBs. Continually increasing the stock of EOL LIB having different LIB variants necessitates the development of efficient circular economy (CE) strategies (recycling and repurposing) to recover raw materials contained in them. Focusing on different CE strategies, we develop a system dynamics model to address the complexity of the raw material recovery process by analyzing the interrelationship between collection rate (government), EOL LIB variant mix (consumer preference), and EOL LIB allocation to recycling and repurposing (Battery OEMs). Our analysis reveals that a high EOL collection rate and recycling reduces the raw material (Lithium (Li), Nickel (Ni), and Cobalt (Co)) demand by 2%–17% based on LIB variant proportion in EOL LIB stock. We observe thrice higher Co recovery and 1.5 times higher Ni recovery in material-rich battery chemistries as compared to others. Repurposing delays the raw material recovery but reduces LIB's demand for SESs. In addition, we observe that the repurposed EOL LIB supply increases the recyclable EOL LIB supply by 0.027–0.2 million units at the end of 2030. Hence, it is imperative for emerging economic countries like India, with scarce strategic raw materials sources and increasing demand for LIB from mobility and SES sectors, to frame policies that incentivize the collection and EOL handling process infrastructure and prioritize between recycling and repurposing of EOL LIBs.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ymbb发布了新的文献求助10
刚刚
善学以致用应助Aki采纳,获得10
刚刚
刚刚
cij123给cij123的求助进行了留言
1秒前
2秒前
3秒前
kyukyubiu发布了新的文献求助10
3秒前
Hello应助LLLLL采纳,获得10
3秒前
3秒前
4秒前
小草三心发布了新的文献求助30
5秒前
小益达发布了新的文献求助10
5秒前
香蕉觅云应助惊火采纳,获得10
6秒前
善学以致用应助azly采纳,获得10
6秒前
小白完成签到,获得积分10
7秒前
7秒前
慕青应助liyan采纳,获得10
7秒前
8秒前
8秒前
斯文败类应助开朗芸采纳,获得10
9秒前
yukinade发布了新的文献求助10
9秒前
xx发布了新的文献求助20
9秒前
H哈完成签到,获得积分10
9秒前
9秒前
阳光完成签到,获得积分10
9秒前
小白发布了新的文献求助10
10秒前
10秒前
10秒前
11秒前
11秒前
222完成签到,获得积分10
11秒前
orixero应助mmol采纳,获得10
12秒前
Jasper应助kyukyubiu采纳,获得10
12秒前
13秒前
13秒前
从容松弛发布了新的文献求助10
13秒前
sw98318发布了新的文献求助10
14秒前
14秒前
Asuka完成签到,获得积分10
14秒前
14秒前
高分求助中
Sustainability in Tides Chemistry 2000
Bayesian Models of Cognition:Reverse Engineering the Mind 800
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Внешняя политика КНР: о сущности внешнеполитического курса современного китайского руководства 500
Revolution und Konterrevolution in China [by A. Losowsky] 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3124076
求助须知:如何正确求助?哪些是违规求助? 2774440
关于积分的说明 7722701
捐赠科研通 2430008
什么是DOI,文献DOI怎么找? 1290873
科研通“疑难数据库(出版商)”最低求助积分说明 621960
版权声明 600283