Selective Recovery of Zinc from Alkaline Batteries via a Basic Leaching Process and the Use of a Machine Learning-Based Digital Twin for Predictive Purposes

Selective Recovery of Zinc from Alkaline Batteries via a Basic Leaching Process and the Use of a Machine Learning-Based Digital Twin for Predictive Purposes

Recycling the metals found in spent batteries offers both environmental and economic benefits, especially when extracted and purified using environmentally friendly processes. Two basic leaching agents were tested and compared: ammonium hydroxide (NH<sub>4</sub>OH) and sodium hydroxide (...

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Bibliographic Details
Main Authors: Noelia Muñoz García, José Luis Valverde, Beatriz Delgado Cano, Michèle Heitz, Antonio Avalos Ramirez
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
hydrometallurgy
alkaline batteries
selective Zn extraction
digital twins
artificial neural networks
Online Access:https://www.mdpi.com/1996-1073/17/24/6292
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