Pairing Experimental and Mathematical Modeling Studies on Fluidized Beds for Enhancement of Models Predictive Quality: A Current Status Overview

Modeling of gas-solid fluidized systems has been a prevailing challenge over the last few decades. With different approaches and implementing different sub-models to capture the essential multiphase and multiscale phenomena in these systems, major advances have been achieved, even though most models...

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Autores principales:	Sebastián Uribe, Muthanna Al-Dahhan
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	fluidized bed CFD techniques mathematical modeling modulus of elasticity advanced measurement techniques Chemical technology TP1-1185 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/f8b244ce06114ce0ab6ba9dcb27580ed
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spelling	oai:doaj.org-article:f8b244ce06114ce0ab6ba9dcb27580ed2021-11-25T18:49:52ZPairing Experimental and Mathematical Modeling Studies on Fluidized Beds for Enhancement of Models Predictive Quality: A Current Status Overview10.3390/pr91118632227-9717https://doaj.org/article/f8b244ce06114ce0ab6ba9dcb27580ed2021-10-01T00:00:00Zhttps://www.mdpi.com/2227-9717/9/11/1863https://doaj.org/toc/2227-9717Modeling of gas-solid fluidized systems has been a prevailing challenge over the last few decades. With different approaches and implementing different sub-models to capture the essential multiphase and multiscale phenomena in these systems, major advances have been achieved, even though most models are only subject to a practical validation of macroscopic parameters. The current description of fluidized beds through mathematical models relies on the inclusion of vast sub-models, leading to an unquantifiable degree of uncertainty on the models’ applicability for extrapolation studies. Furthermore, each closure and fitting parameter in the model represents a possible source of deviation, and their optimization, hence, becomes another major challenge. The recent advances in measurement techniques can enable us to troubleshoot and optimize the implemented models and sub-models based on local scale measurements. Local multiphase hydrodynamic information obtained by advanced measurement techniques can enable the validation of local predictions and optimization of the coupled sub-models, leading to the development of simplified and highly predictive models. Thus, pairing advanced experimental studies on these systems with insightful modeling approaches is required to advance the shortcoming and enhance the predictive quality of the models. In this work, an overview of the status of modeling and experimental measurement techniques for gas-solid fluidized beds is presented; then, an overview on pairing both experimental and modeling studies to improve the models’ local predictions for fluidized beds is presented.Sebastián UribeMuthanna Al-DahhanMDPI AGarticlefluidized bedCFD techniquesmathematical modelingmodulus of elasticityadvanced measurement techniquesChemical technologyTP1-1185ChemistryQD1-999ENProcesses, Vol 9, Iss 1863, p 1863 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	fluidized bed CFD techniques mathematical modeling modulus of elasticity advanced measurement techniques Chemical technology TP1-1185 Chemistry QD1-999
spellingShingle	fluidized bed CFD techniques mathematical modeling modulus of elasticity advanced measurement techniques Chemical technology TP1-1185 Chemistry QD1-999 Sebastián Uribe Muthanna Al-Dahhan Pairing Experimental and Mathematical Modeling Studies on Fluidized Beds for Enhancement of Models Predictive Quality: A Current Status Overview
description	Modeling of gas-solid fluidized systems has been a prevailing challenge over the last few decades. With different approaches and implementing different sub-models to capture the essential multiphase and multiscale phenomena in these systems, major advances have been achieved, even though most models are only subject to a practical validation of macroscopic parameters. The current description of fluidized beds through mathematical models relies on the inclusion of vast sub-models, leading to an unquantifiable degree of uncertainty on the models’ applicability for extrapolation studies. Furthermore, each closure and fitting parameter in the model represents a possible source of deviation, and their optimization, hence, becomes another major challenge. The recent advances in measurement techniques can enable us to troubleshoot and optimize the implemented models and sub-models based on local scale measurements. Local multiphase hydrodynamic information obtained by advanced measurement techniques can enable the validation of local predictions and optimization of the coupled sub-models, leading to the development of simplified and highly predictive models. Thus, pairing advanced experimental studies on these systems with insightful modeling approaches is required to advance the shortcoming and enhance the predictive quality of the models. In this work, an overview of the status of modeling and experimental measurement techniques for gas-solid fluidized beds is presented; then, an overview on pairing both experimental and modeling studies to improve the models’ local predictions for fluidized beds is presented.
format	article
author	Sebastián Uribe Muthanna Al-Dahhan
author_facet	Sebastián Uribe Muthanna Al-Dahhan
author_sort	Sebastián Uribe
title	Pairing Experimental and Mathematical Modeling Studies on Fluidized Beds for Enhancement of Models Predictive Quality: A Current Status Overview
title_short	Pairing Experimental and Mathematical Modeling Studies on Fluidized Beds for Enhancement of Models Predictive Quality: A Current Status Overview
title_full	Pairing Experimental and Mathematical Modeling Studies on Fluidized Beds for Enhancement of Models Predictive Quality: A Current Status Overview
title_fullStr	Pairing Experimental and Mathematical Modeling Studies on Fluidized Beds for Enhancement of Models Predictive Quality: A Current Status Overview
title_full_unstemmed	Pairing Experimental and Mathematical Modeling Studies on Fluidized Beds for Enhancement of Models Predictive Quality: A Current Status Overview
title_sort	pairing experimental and mathematical modeling studies on fluidized beds for enhancement of models predictive quality: a current status overview
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f8b244ce06114ce0ab6ba9dcb27580ed
work_keys_str_mv	AT sebastianuribe pairingexperimentalandmathematicalmodelingstudiesonfluidizedbedsforenhancementofmodelspredictivequalityacurrentstatusoverview AT muthannaaldahhan pairingexperimentalandmathematicalmodelingstudiesonfluidizedbedsforenhancementofmodelspredictivequalityacurrentstatusoverview
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Pairing Experimental and Mathematical Modeling Studies on Fluidized Beds for Enhancement of Models Predictive Quality: A Current Status Overview

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