CFD-PBE Modelling and Simulation of Enzymatic Hydrolysis of Cellulose in a Stirred Tank

CFD-PBE Modelling and Simulation of Enzymatic Hydrolysis of Cellulose in a Stirred Tank

Renewable energy or biofuel from lignocellulosic biomass is an alternative way to replace the depleting fossil fuels. The production cost can be reduced by increasing the concentration of biomass particles. However, lignocellulosic biomass is a suspension of natural fibres and processing at high sol...

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Main Authors: Norazaliza, Mohd Jamil, Wang, Qi
Format: Article
Language:English
Published: Science Publications 2016
Subjects:
QA Mathematics
Online Access:http://umpir.ump.edu.my/id/eprint/15993/
http://umpir.ump.edu.my/id/eprint/15993/
http://umpir.ump.edu.my/id/eprint/15993/
http://umpir.ump.edu.my/id/eprint/15993/1/ofsp.10823.pdf
id ump-15993
recordtype eprints
spelling ump-159932017-02-03T03:14:33Z http://umpir.ump.edu.my/id/eprint/15993/ CFD-PBE Modelling and Simulation of Enzymatic Hydrolysis of Cellulose in a Stirred Tank Norazaliza, Mohd Jamil Wang, Qi QA Mathematics Renewable energy or biofuel from lignocellulosic biomass is an alternative way to replace the depleting fossil fuels. The production cost can be reduced by increasing the concentration of biomass particles. However, lignocellulosic biomass is a suspension of natural fibres and processing at high solid concentration is a challenging task because it will affect the mixing quality between the enzyme and cellulose particles and the generation of sugars. Thus, understanding the factors that affect the rheology of biomass suspension is crucial in order to maximize the production at a minimum cost. Our aim was to develop a solution strategy for the modelling and simulation of biomass suspension during enzymatic hydrolysis. The complete model was solved using the DAE-QMOM technique in a finite-element software package, COMSOL. Essentially, we made a clear connection between the microscopic and macroscopic properties of biomass slurries undergoing enzymatic hydrolysis. The results showed that the quality of mixing within a reactor is crucial in optimizing the hydrolysis product. The model improved the predictive capabilities, hence increasing our understanding on the behaviour of biomass suspension. Science Publications 2016-10-22 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/15993/1/ofsp.10823.pdf Norazaliza, Mohd Jamil and Wang, Qi (2016) CFD-PBE Modelling and Simulation of Enzymatic Hydrolysis of Cellulose in a Stirred Tank. Journal of Mathematics and Statistics, 12 (4). pp. 225-237. ISSN 1549-3644 http://thescipub.com/abstract/10.3844/jmssp.2016.225.237 DOI: 10.3844/jmssp.2016
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA Mathematics
spellingShingle QA Mathematics
Norazaliza, Mohd Jamil
Wang, Qi
CFD-PBE Modelling and Simulation of Enzymatic Hydrolysis of Cellulose in a Stirred Tank
description Renewable energy or biofuel from lignocellulosic biomass is an alternative way to replace the depleting fossil fuels. The production cost can be reduced by increasing the concentration of biomass particles. However, lignocellulosic biomass is a suspension of natural fibres and processing at high solid concentration is a challenging task because it will affect the mixing quality between the enzyme and cellulose particles and the generation of sugars. Thus, understanding the factors that affect the rheology of biomass suspension is crucial in order to maximize the production at a minimum cost. Our aim was to develop a solution strategy for the modelling and simulation of biomass suspension during enzymatic hydrolysis. The complete model was solved using the DAE-QMOM technique in a finite-element software package, COMSOL. Essentially, we made a clear connection between the microscopic and macroscopic properties of biomass slurries undergoing enzymatic hydrolysis. The results showed that the quality of mixing within a reactor is crucial in optimizing the hydrolysis product. The model improved the predictive capabilities, hence increasing our understanding on the behaviour of biomass suspension.
format Article
author Norazaliza, Mohd Jamil
Wang, Qi
author_facet Norazaliza, Mohd Jamil
Wang, Qi
author_sort Norazaliza, Mohd Jamil
title CFD-PBE Modelling and Simulation of Enzymatic Hydrolysis of Cellulose in a Stirred Tank
title_short CFD-PBE Modelling and Simulation of Enzymatic Hydrolysis of Cellulose in a Stirred Tank
title_full CFD-PBE Modelling and Simulation of Enzymatic Hydrolysis of Cellulose in a Stirred Tank
title_fullStr CFD-PBE Modelling and Simulation of Enzymatic Hydrolysis of Cellulose in a Stirred Tank
title_full_unstemmed CFD-PBE Modelling and Simulation of Enzymatic Hydrolysis of Cellulose in a Stirred Tank
title_sort cfd-pbe modelling and simulation of enzymatic hydrolysis of cellulose in a stirred tank
publisher Science Publications
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/15993/
http://umpir.ump.edu.my/id/eprint/15993/
http://umpir.ump.edu.my/id/eprint/15993/
http://umpir.ump.edu.my/id/eprint/15993/1/ofsp.10823.pdf
first_indexed 2023-09-18T22:21:16Z
last_indexed 2023-09-18T22:21:16Z
_version_ 1777415672900354048

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