In the shift toward sustainable energy solutions, the efficiency of lithium-ion battery (LIB) recycling within the supply chain is of paramount importance. This study evaluates the performance of LIB recycling processes by advancing a quantitative modeling approach. Through process simulations, a comprehensive assessment of pyrometallurgical and hydrometallurgical LIB recycling processes is presented by focusing on the key parameters that influence material recoveries and yields. Recycling efficiency indicators, accounting for the quantity and quality of recycled materials, are introduced and their dependence on the share of different battery chemistries and formats in the spent batteries feed is assessed via numerical simulations. A sensitivity analysis of process parameters identifies the unit operations mostly affecting the recycling performance, highlighting process criticalities. The model presented and its outcomes provide a valuable guide for stakeholders in the LIB industry, aiding informed decision-making to enhance sustainability and resource recovery in the ecosystem of electrochemical energy storage.
Assessing performance in lithium-ion batteries recycling processes: A quantitative modeling perspective
Marco Vaccari
Primo
Investigation
;Filippo ParlantiSecondo
Investigation
;Gabriele PannocchiaInvestigation
;Leonardo TognottiPenultimo
Investigation
;Antonio BerteiUltimo
Investigation
2024-01-01
Abstract
In the shift toward sustainable energy solutions, the efficiency of lithium-ion battery (LIB) recycling within the supply chain is of paramount importance. This study evaluates the performance of LIB recycling processes by advancing a quantitative modeling approach. Through process simulations, a comprehensive assessment of pyrometallurgical and hydrometallurgical LIB recycling processes is presented by focusing on the key parameters that influence material recoveries and yields. Recycling efficiency indicators, accounting for the quantity and quality of recycled materials, are introduced and their dependence on the share of different battery chemistries and formats in the spent batteries feed is assessed via numerical simulations. A sensitivity analysis of process parameters identifies the unit operations mostly affecting the recycling performance, highlighting process criticalities. The model presented and its outcomes provide a valuable guide for stakeholders in the LIB industry, aiding informed decision-making to enhance sustainability and resource recovery in the ecosystem of electrochemical energy storage.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.