Novel Study of Reaction Kinetics and Mass Transfer in Bioreactor Modelling: Prediction of Bioethanol Fermentation Performance by Saccharomyces cerevisiae on Continuous Fixed Bed Biofilm Plug Flow Reactor

Bioethanol implementation as a renewable fuel has yielded economic, social, and environmental benefits, including reduced fossil fuel consumption, enhanced energy diversity and supply security, lower greenhouse gas emissions, and support for agricultural communities. These impacts underscore the imp...

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Main Authors: Christian Aslan, Hary Devianto, Vita Wonoputri, Ardiyan Harimawan
Format: Article
Language:English
Published: Masyarakat Katalis Indonesia - Indonesian Catalyst Society (MKICS) 2024-12-01
Series:Bulletin of Chemical Reaction Engineering & Catalysis
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Online Access:https://journal.bcrec.id/index.php/bcrec/article/view/20230
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author Christian Aslan
Hary Devianto
Vita Wonoputri
Ardiyan Harimawan
author_facet Christian Aslan
Hary Devianto
Vita Wonoputri
Ardiyan Harimawan
author_sort Christian Aslan
collection DOAJ
description Bioethanol implementation as a renewable fuel has yielded economic, social, and environmental benefits, including reduced fossil fuel consumption, enhanced energy diversity and supply security, lower greenhouse gas emissions, and support for agricultural communities. These impacts underscore the importance of advancing innovation and optimizing processes to increase bioethanol production. Therefore, basic knowledge of chemical engineering in bioethanol fermentation is important to be learnt as a preliminary study, such as reaction kinetics and transport phenomena. This work studies the reaction kinetics and mass transfer in continuous fixed bed biofilm plug flow reactor modelling to predict anaerobic Saccharomyces cerevisiae fermentation performance, which is still not studied comprehensively. This modelling provides an overview of the influence of various independent variables, namely temperature, initial substrate concentration, cell concentration, superficial flow rate, reactor diameter, and solid particle diameter on various dependent variables, namely final product concentration, residence time, reactor length, reactor volume, product productivity, and pressure drop. The most sensitive parameters related to product productivity are temperature and cell concentration, so in its implementation, the temperature must be controlled at its optimum temperature, and the inoculum must be prepared with high cell concentration. For the next study, it is recommended to study the optimization of reactor design and operation (i.e. the pumping system, cooling system, and pH control of the reactor) and the implementation of the reactor on the plant scale. Copyright © 2024 by Authors, Published by BCREC Publishing Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).
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spelling doaj-art-cc941b33cb014c9aa7703c5faf4880542025-02-02T02:54:01ZengMasyarakat Katalis Indonesia - Indonesian Catalyst Society (MKICS)Bulletin of Chemical Reaction Engineering & Catalysis1978-29932024-12-0119466869110.9767/bcrec.202308481Novel Study of Reaction Kinetics and Mass Transfer in Bioreactor Modelling: Prediction of Bioethanol Fermentation Performance by Saccharomyces cerevisiae on Continuous Fixed Bed Biofilm Plug Flow ReactorChristian Aslan0Hary Devianto1https://orcid.org/0000-0002-8813-7460Vita Wonoputri2Ardiyan Harimawan3https://orcid.org/0000-0003-3892-3946Department of Chemical Engineering, Faculty of Industrial Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaDepartment of Chemical Engineering, Faculty of Industrial Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaDepartment of Chemical Engineering, Faculty of Industrial Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaDepartment of Chemical Engineering, Faculty of Industrial Technology, Institut Teknologi Bandung, Bandung 40132, IndonesiaBioethanol implementation as a renewable fuel has yielded economic, social, and environmental benefits, including reduced fossil fuel consumption, enhanced energy diversity and supply security, lower greenhouse gas emissions, and support for agricultural communities. These impacts underscore the importance of advancing innovation and optimizing processes to increase bioethanol production. Therefore, basic knowledge of chemical engineering in bioethanol fermentation is important to be learnt as a preliminary study, such as reaction kinetics and transport phenomena. This work studies the reaction kinetics and mass transfer in continuous fixed bed biofilm plug flow reactor modelling to predict anaerobic Saccharomyces cerevisiae fermentation performance, which is still not studied comprehensively. This modelling provides an overview of the influence of various independent variables, namely temperature, initial substrate concentration, cell concentration, superficial flow rate, reactor diameter, and solid particle diameter on various dependent variables, namely final product concentration, residence time, reactor length, reactor volume, product productivity, and pressure drop. The most sensitive parameters related to product productivity are temperature and cell concentration, so in its implementation, the temperature must be controlled at its optimum temperature, and the inoculum must be prepared with high cell concentration. For the next study, it is recommended to study the optimization of reactor design and operation (i.e. the pumping system, cooling system, and pH control of the reactor) and the implementation of the reactor on the plant scale. Copyright © 2024 by Authors, Published by BCREC Publishing Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).https://journal.bcrec.id/index.php/bcrec/article/view/20230bioethanolbioreactor modellingcontinuous fixed bed biofilm plug flow reactorkinetic and mass transfersaccharomyces cerevisiae
spellingShingle Christian Aslan
Hary Devianto
Vita Wonoputri
Ardiyan Harimawan
Novel Study of Reaction Kinetics and Mass Transfer in Bioreactor Modelling: Prediction of Bioethanol Fermentation Performance by Saccharomyces cerevisiae on Continuous Fixed Bed Biofilm Plug Flow Reactor
Bulletin of Chemical Reaction Engineering & Catalysis
bioethanol
bioreactor modelling
continuous fixed bed biofilm plug flow reactor
kinetic and mass transfer
saccharomyces cerevisiae
title Novel Study of Reaction Kinetics and Mass Transfer in Bioreactor Modelling: Prediction of Bioethanol Fermentation Performance by Saccharomyces cerevisiae on Continuous Fixed Bed Biofilm Plug Flow Reactor
title_full Novel Study of Reaction Kinetics and Mass Transfer in Bioreactor Modelling: Prediction of Bioethanol Fermentation Performance by Saccharomyces cerevisiae on Continuous Fixed Bed Biofilm Plug Flow Reactor
title_fullStr Novel Study of Reaction Kinetics and Mass Transfer in Bioreactor Modelling: Prediction of Bioethanol Fermentation Performance by Saccharomyces cerevisiae on Continuous Fixed Bed Biofilm Plug Flow Reactor
title_full_unstemmed Novel Study of Reaction Kinetics and Mass Transfer in Bioreactor Modelling: Prediction of Bioethanol Fermentation Performance by Saccharomyces cerevisiae on Continuous Fixed Bed Biofilm Plug Flow Reactor
title_short Novel Study of Reaction Kinetics and Mass Transfer in Bioreactor Modelling: Prediction of Bioethanol Fermentation Performance by Saccharomyces cerevisiae on Continuous Fixed Bed Biofilm Plug Flow Reactor
title_sort novel study of reaction kinetics and mass transfer in bioreactor modelling prediction of bioethanol fermentation performance by saccharomyces cerevisiae on continuous fixed bed biofilm plug flow reactor
topic bioethanol
bioreactor modelling
continuous fixed bed biofilm plug flow reactor
kinetic and mass transfer
saccharomyces cerevisiae
url https://journal.bcrec.id/index.php/bcrec/article/view/20230
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AT harydevianto novelstudyofreactionkineticsandmasstransferinbioreactormodellingpredictionofbioethanolfermentationperformancebysaccharomycescerevisiaeoncontinuousfixedbedbiofilmplugflowreactor
AT vitawonoputri novelstudyofreactionkineticsandmasstransferinbioreactormodellingpredictionofbioethanolfermentationperformancebysaccharomycescerevisiaeoncontinuousfixedbedbiofilmplugflowreactor
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