Efficient and Green Recovery of Lithium from Spent Lithium-Ion Batteries Based on a Multipotential Field Membrane Process Intensification

Advancements in recycling technologies for spent lithium-ion batteries (LIBs) are moving toward environmentally friendly and lower carbon approaches. This study presents a novel method for lithium extraction from spent LIBs based on a multipotential field membrane coupling process involving nanofiltration (NF), reverse osmosis (RO), and selective electrodialysis (SED). Lithium is extracted from the leaching liquor of spent LIBs containing multiple ions by using NF. The combined effects of the Donnan steric hindrance and dielectric exclusion determine the retention rates of each ion. Divalent ions such as Ni2+, Co2+, and Mn2+ experience stronger repulsion during the mass transfer process, resulting in rejection rates all above 98%, which is advantageous for the selective separation of lithium ions, and the recovery rate of lithium in the NF stage reached 96.02%. Considering the characteristics of the leaching liquor, which is acidic and high in chloride, the DK membrane is selected for its superior comprehensive performance from the three commercial NF membranes, with a particular focus on assessing the long-term separation performance stability and tolerance. Finally, the NF separation is coupled with the RO concentration and SED concentration processes to achieve efficient separation and enrichment of lithium. The lithium-ion concentration reached 15.23 g/L, and a Li2CO3 product with a main content of 99.82% is prepared, providing an efficient and environmentally friendly method for lithium recovery from spent LIBs.

Authors

Institutions

Publication Details

Journal
ACS Sustainable Chemistry & Engineering
Published
2024-11-12
DOI
https://doi.org/10.1021/acssuschemeng.4c06613
Citations
11
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
2.34

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficient and Green Recovery of Lithium from Spent Lithium-Ion Batteries Based on a Multipotential Field Membrane Process Intensification

Min Wang, Qichang Lu, Youjing Zhao, Zenghu Zhu et al.
11 citations
ACS Sustainable Chemistry & Engineering
Extraction and Separation Processes
2.34
article

Efficient and Green Recovery of Lithium from Spent Lithium-Ion Batteries Based on a Multipotential Field Membrane Process Intensification

Min Wang, Qichang Lu, Youjing Zhao, Zenghu Zhu, Zhengjun Peng
article en
11 citations

Abstract

Advancements in recycling technologies for spent lithium-ion batteries (LIBs) are moving toward environmentally friendly and lower carbon approaches. This study presents a novel method for lithium extraction from spent LIBs based on a multipotential field membrane coupling process involving nanofiltration (NF), reverse osmosis (RO), and selective electrodialysis (SED). Lithium is extracted from the leaching liquor of spent LIBs containing multiple ions by using NF. The combined effects of the Donnan steric hindrance and dielectric exclusion determine the retention rates of each ion. Divalent ions such as Ni2+, Co2+, and Mn2+ experience stronger repulsion during the mass transfer process, resulting in rejection rates all above 98%, which is advantageous for the selective separation of lithium ions, and the recovery rate of lithium in the NF stage reached 96.02%. Considering the characteristics of the leaching liquor, which is acidic and high in chloride, the DK membrane is selected for its superior comprehensive performance from the three commercial NF membranes, with a particular focus on assessing the long-term separation performance stability and tolerance. Finally, the NF separation is coupled with the RO concentration and SED concentration processes to achieve efficient separation and enrichment of lithium. The lithium-ion concentration reached 15.23 g/L, and a Li2CO3 product with a main content of 99.82% is prepared, providing an efficient and environmentally friendly method for lithium recovery from spent LIBs.

ACS Sustainable Chemistry & EngineeringVol. 12(47)
Chinese Academy of Sciences (CN), Xinjiang Institute of Ecology and Geography (CN), University of Chinese Academy of Sciences (CN)
Chinese Academy of Sciences
Affordable and clean energy
Openalex Percentile: Top 12%
Extraction and Separation Processes
2.34
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.