Multi-scale Modelling for Cellulosic Biomass Mixture During Enzymatic Hydrolysis

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 so...

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Main Authors:	Norazaliza, Jamil, Wang, Qi
Format:	Conference or Workshop Item
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2017
Subjects:	Q Science (General) QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/19693/ http://umpir.ump.edu.my/id/eprint/19693/ http://umpir.ump.edu.my/id/eprint/19693/1/IEEE%20Japan.pdf

id	ump-19693
recordtype	eprints
spelling	ump-196932018-01-25T02:22:12Z http://umpir.ump.edu.my/id/eprint/19693/ Multi-scale Modelling for Cellulosic Biomass Mixture During Enzymatic Hydrolysis Norazaliza, Jamil Wang, Qi Q Science (General) 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. 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 multiscale modelling for enzymatic hydrolysis of cellulose by combining three scales: the macroscopic flow field, the mesoscopic particle orientation, and the microscopic reactive kinetics. The governing equations for the flow field, particle stress, kinetic equations, and particle orientation were coupled and were simultaneously solved using a finite element method based software, COMSOL. Essentially, clear connections were made between microscopic, mesoscopic, and macroscopic properties of biomass slurries undergoing enzymatic hydrolysis. One of the main results was the apparent viscosity and the yield stress increased with the increase in solid concentration. The results from the simulation model agreed qualitatively with the experimental findings. This approach has enables us to obtain better predictive capabilities, hence increasing our understanding on the behaviour of biomass suspension. Institute of Electrical and Electronics Engineers Inc. 2017 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19693/1/IEEE%20Japan.pdf Norazaliza, Jamil and Wang, Qi (2017) Multi-scale Modelling for Cellulosic Biomass Mixture During Enzymatic Hydrolysis. In: 4th International Conference on Industrial Engineering and Applications, ICIEA 2017, 21-23 April 2017 , Nagoya, Japan. pp. 270-274.. ISBN 978-1-5090-6775-6 https://conferencealerts.com/show-event?id=173657
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	Q Science (General) QA Mathematics
spellingShingle	Q Science (General) QA Mathematics Norazaliza, Jamil Wang, Qi Multi-scale Modelling for Cellulosic Biomass Mixture During Enzymatic Hydrolysis
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. 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 multiscale modelling for enzymatic hydrolysis of cellulose by combining three scales: the macroscopic flow field, the mesoscopic particle orientation, and the microscopic reactive kinetics. The governing equations for the flow field, particle stress, kinetic equations, and particle orientation were coupled and were simultaneously solved using a finite element method based software, COMSOL. Essentially, clear connections were made between microscopic, mesoscopic, and macroscopic properties of biomass slurries undergoing enzymatic hydrolysis. One of the main results was the apparent viscosity and the yield stress increased with the increase in solid concentration. The results from the simulation model agreed qualitatively with the experimental findings. This approach has enables us to obtain better predictive capabilities, hence increasing our understanding on the behaviour of biomass suspension.
format	Conference or Workshop Item
author	Norazaliza, Jamil Wang, Qi
author_facet	Norazaliza, Jamil Wang, Qi
author_sort	Norazaliza, Jamil
title	Multi-scale Modelling for Cellulosic Biomass Mixture During Enzymatic Hydrolysis
title_short	Multi-scale Modelling for Cellulosic Biomass Mixture During Enzymatic Hydrolysis
title_full	Multi-scale Modelling for Cellulosic Biomass Mixture During Enzymatic Hydrolysis
title_fullStr	Multi-scale Modelling for Cellulosic Biomass Mixture During Enzymatic Hydrolysis
title_full_unstemmed	Multi-scale Modelling for Cellulosic Biomass Mixture During Enzymatic Hydrolysis
title_sort	multi-scale modelling for cellulosic biomass mixture during enzymatic hydrolysis
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/19693/ http://umpir.ump.edu.my/id/eprint/19693/ http://umpir.ump.edu.my/id/eprint/19693/1/IEEE%20Japan.pdf
first_indexed	2023-09-18T22:28:12Z
last_indexed	2023-09-18T22:28:12Z
_version_	1777416108475678720

Multi-scale Modelling for Cellulosic Biomass Mixture During Enzymatic Hydrolysis

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