Ex-ante life cycle evaluation of spent lithium-ion battery recovery: Modeling of complex environmental and economic impacts

IF 14 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Science and Ecotechnology Pub Date : 2024-09-12 DOI:10.1016/j.ese.2024.100490
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Abstract

The recycling of lithium-ion batteries (LIBs) is essential for promoting the closed-loop sustainable development of the LIB industry. However, progress in LIB recycling technologies is slow. There are significant gaps between academic research and industrial application, which hinder the industrialization of new technologies and the improvement of existing ones. Here we show a universal model for spent LIB-lithium recycling (SliRec) to evaluate the applicability and upgrading potential across various recycling technologies. Instead of modeling the entire recycling process, we focus on partial processes to enable a comparative analysis of environmental and economic impacts. We find a strong correlation between lithium concentration (LC) and the advancement of recycling technologies, where higher LC is associated with a reduced carbon footprint and increased economic benefits. The implementation of high-level recycling technology can result in an 85.91% reduction in carbon footprint and a 5.97-fold increase in economic returns. Additionally, we explore the effects of technological interventions through scenario analysis, demonstrating that while low-level recycling technology faces more substantial challenges in upgrading, it holds greater potential for reducing carbon emissions (−2.38 kg CO2-eq mol−1) and enhancing economic benefits (CNY 11.04 mol−1). Our findings emphasize the significance of process modeling in evaluating the quality of spent LIB recycling technologies, and can provide comparative information for the application of emerging technologies or the upgrade of existing ones.

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锂离子废电池回收的生命周期事前评估:复杂的环境和经济影响建模
锂离子电池(LIB)的回收利用对于促进锂离子电池行业的闭环可持续发展至关重要。然而,锂离子电池回收技术进展缓慢。学术研究与工业应用之间存在巨大差距,阻碍了新技术的产业化和现有技术的改进。在此,我们展示了一种乏锂电池回收(SliRec)通用模型,用于评估各种回收技术的适用性和升级潜力。我们没有对整个回收过程进行建模,而是侧重于部分过程,以便对环境和经济影响进行比较分析。我们发现,锂浓度(LC)与回收技术的进步之间存在很强的相关性,锂浓度越高,碳足迹越小,经济效益越高。采用高水平的回收技术可减少 85.91% 的碳足迹,经济收益增加 5.97 倍。此外,我们还通过情景分析探讨了技术干预的效果,结果表明,虽然低水平回收技术在升级过程中面临着更大的挑战,但它在减少碳排放(-2.38 千克二氧化碳当量摩尔-1)和提高经济效益(11.04 元人民币摩尔-1)方面具有更大的潜力。我们的研究结果强调了工艺建模在评估乏燃料电池回收技术质量方面的重要意义,并可为新兴技术的应用或现有技术的升级提供比较信息。
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来源期刊
CiteScore
20.40
自引率
6.30%
发文量
11
审稿时长
18 days
期刊介绍: Environmental Science & Ecotechnology (ESE) is an international, open-access journal publishing original research in environmental science, engineering, ecotechnology, and related fields. Authors publishing in ESE can immediately, permanently, and freely share their work. They have license options and retain copyright. Published by Elsevier, ESE is co-organized by the Chinese Society for Environmental Sciences, Harbin Institute of Technology, and the Chinese Research Academy of Environmental Sciences, under the supervision of the China Association for Science and Technology.
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