A Hybrid Modeling Framework for Membrane Separation Processes: Application to Lithium-Ion Recovery from Batteries

This study proposed a hybrid modeling framework for membrane separation processes where lithium from batteries is recovered. This is a pertinent problem nowadays as lithium batteries are popularized in hybrid and electric vehicles. The hybrid model is based on an artificial intelligence (AI) structu...

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Autores principales:	Maria João Regufe, Vinicius V. Santana, Alexandre F. P. Ferreira, Ana M. Ribeiro, José M. Loureiro, Idelfonso B. R. Nogueira
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	hybrid modeling membrane separation artificial neural network lithium recovery Chemical technology TP1-1185 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/428196dbe23f40cda6e2bf9eb0d7f2c8
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id	oai:doaj.org-article:428196dbe23f40cda6e2bf9eb0d7f2c8
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spelling	oai:doaj.org-article:428196dbe23f40cda6e2bf9eb0d7f2c82021-11-25T18:50:36ZA Hybrid Modeling Framework for Membrane Separation Processes: Application to Lithium-Ion Recovery from Batteries10.3390/pr91119392227-9717https://doaj.org/article/428196dbe23f40cda6e2bf9eb0d7f2c82021-10-01T00:00:00Zhttps://www.mdpi.com/2227-9717/9/11/1939https://doaj.org/toc/2227-9717This study proposed a hybrid modeling framework for membrane separation processes where lithium from batteries is recovered. This is a pertinent problem nowadays as lithium batteries are popularized in hybrid and electric vehicles. The hybrid model is based on an artificial intelligence (AI) structure to model the mass transfer resistance of several experimental separations found in the literature. It is also based on a phenomenological model to represent the transient system regime. An optimization framework was designed to perform the AI model training and simultaneously solve the Ordinary Differential Equation (ODE) system representing the phenomenological model. The results demonstrate that the hybrid model can better represent the experimental validation sets than the phenomenological model alone. This strategy opens doors for further investigations of this system.Maria João RegufeVinicius V. SantanaAlexandre F. P. FerreiraAna M. RibeiroJosé M. LoureiroIdelfonso B. R. NogueiraMDPI AGarticlehybrid modelingmembrane separationartificial neural networklithium recoveryChemical technologyTP1-1185ChemistryQD1-999ENProcesses, Vol 9, Iss 1939, p 1939 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	hybrid modeling membrane separation artificial neural network lithium recovery Chemical technology TP1-1185 Chemistry QD1-999
spellingShingle	hybrid modeling membrane separation artificial neural network lithium recovery Chemical technology TP1-1185 Chemistry QD1-999 Maria João Regufe Vinicius V. Santana Alexandre F. P. Ferreira Ana M. Ribeiro José M. Loureiro Idelfonso B. R. Nogueira A Hybrid Modeling Framework for Membrane Separation Processes: Application to Lithium-Ion Recovery from Batteries
description	This study proposed a hybrid modeling framework for membrane separation processes where lithium from batteries is recovered. This is a pertinent problem nowadays as lithium batteries are popularized in hybrid and electric vehicles. The hybrid model is based on an artificial intelligence (AI) structure to model the mass transfer resistance of several experimental separations found in the literature. It is also based on a phenomenological model to represent the transient system regime. An optimization framework was designed to perform the AI model training and simultaneously solve the Ordinary Differential Equation (ODE) system representing the phenomenological model. The results demonstrate that the hybrid model can better represent the experimental validation sets than the phenomenological model alone. This strategy opens doors for further investigations of this system.
format	article
author	Maria João Regufe Vinicius V. Santana Alexandre F. P. Ferreira Ana M. Ribeiro José M. Loureiro Idelfonso B. R. Nogueira
author_facet	Maria João Regufe Vinicius V. Santana Alexandre F. P. Ferreira Ana M. Ribeiro José M. Loureiro Idelfonso B. R. Nogueira
author_sort	Maria João Regufe
title	A Hybrid Modeling Framework for Membrane Separation Processes: Application to Lithium-Ion Recovery from Batteries
title_short	A Hybrid Modeling Framework for Membrane Separation Processes: Application to Lithium-Ion Recovery from Batteries
title_full	A Hybrid Modeling Framework for Membrane Separation Processes: Application to Lithium-Ion Recovery from Batteries
title_fullStr	A Hybrid Modeling Framework for Membrane Separation Processes: Application to Lithium-Ion Recovery from Batteries
title_full_unstemmed	A Hybrid Modeling Framework for Membrane Separation Processes: Application to Lithium-Ion Recovery from Batteries
title_sort	hybrid modeling framework for membrane separation processes: application to lithium-ion recovery from batteries
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/428196dbe23f40cda6e2bf9eb0d7f2c8
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A Hybrid Modeling Framework for Membrane Separation Processes: Application to Lithium-Ion Recovery from Batteries

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