4.7 Article

Sustainable bioleaching of lithium-ion batteries for critical metal recovery: Process optimization through design of experiments and thermodynamic modeling

Journal

RESOURCES CONSERVATION AND RECYCLING
Volume 199, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.resconrec.2023.107293

Keywords

Biohydrometallurgy; Steepest ascent method; Ridge analysis; Central composite design; Factorial design; Recycling

Ask authors/readers for more resources

Recycling spent lithium-ion batteries is crucial for mitigating supply risks and protecting the environment. This study successfully optimized bioleaching conditions through thermodynamic modeling and experimental design, demonstrating its feasibility and economic competitiveness.
Recycling spent lithium-ion batteries (LIBs) could alleviate supply risks for critical metals and be less harmful to the environment compared to new production of metals from mining. Developing a cost-effective LIB bioleaching process could be a promising alternative to traditional energy-intensive recycling technologies. This study aimed to optimize bioleaching conditions for maximum economic competitiveness through design of experiments using iterative response surface methodology (RSM), assisted by thermodynamic modeling. The optimal condition was identified as 2.5% pulp density in 75 mM gluconic acid biolixiviant at 55 degrees C for 30 h which could recover 57%- 84% of nickel, 71%-86% of cobalt, and 100% of lithium and manganese, yielding a 17%-26% net profit margin. The recommended pulp density and acid concentrations, together with the observed metal solubilization, were supported by thermodynamic modeling predictions. Our study demonstrated that combining RSM with thermodynamic simulations could be a powerful tool for optimizing bioleaching conditions.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available