Mathematical modeling and simulation of biofuel production from lignocellulosic biomass

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 fibers, and processing at high so...

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Main Author:	Norazaliza, Mohd Jamil
Format:	Thesis
Language:	English
Published:	2015
Subjects:	QA Mathematics T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/13533/16/Mathematical%20analysis%20of%20a%20kinetic%20model%20for.pdf
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id	my-ump-ir.13533
record_format	uketd_dc
spelling	my-ump-ir.135332021-11-17T02:22:21Z Mathematical modeling and simulation of biofuel production from lignocellulosic biomass 2015 Norazaliza, Mohd Jamil QA Mathematics T Technology (General) 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 fibers, and processing at high solid concentration is a challenging task because it will affect the mixing quality between enzyme and cellulose particles and the generation of sugars. Thus, understanding factors that affect the rheology of biomass suspension is crucial in order to maximize the production at a minimum cost. Our aim is to develop a solution strategy for the modeling and simulation of high solid concentration of biomass suspension during enzymatic hydrolysis. Also, we intend to develop a multi-scale model for enzymatic hydrolysis that captures the reaction kinetics of cellulose chains in PBE form, cellulose rod orientation and interaction, as well as hydrodynamics and plasticity of the biomass mixture. We extended and improved the established kinetic model proposed by Griggs et al. [Griggs et al., 2012a]. We built the reduced order models by ignoring significantly small terms and determined the approximate solutions by employing asymptotic analysis method. Liquid crystal theory was adopted to study the cellulose fibers. The complete model was solved using DAE-QMOM technique in finite-element software package, COMSOL. Essentially, we made a clear connection between microscopic, mesoscopic, and macroscopic properties of biomass slurries undergoing enzymatic hydrolysis. The results show that the quality of mixing within a reactor is crucial in optimizing the hydrolysis product. Also, the biomass suspension shows non-Newtonian behaviors such as shear thinning, yield stress, and normal stress difference, which is in agreement with experimental results. The extended model improved the predictive capabilities, hence increased our understanding on the behavior of biomass suspension. 2015 Thesis http://umpir.ump.edu.my/id/eprint/13533/ http://umpir.ump.edu.my/id/eprint/13533/16/Mathematical%20analysis%20of%20a%20kinetic%20model%20for.pdf pdf en public phd doctoral University of South Carolina College of Arts and Sciences
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
collection	UMPSA Institutional Repository
language	English
topic	QA Mathematics T Technology (General)
spellingShingle	QA Mathematics T Technology (General) Norazaliza, Mohd Jamil Mathematical modeling and simulation of biofuel production from lignocellulosic biomass
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 fibers, and processing at high solid concentration is a challenging task because it will affect the mixing quality between enzyme and cellulose particles and the generation of sugars. Thus, understanding factors that affect the rheology of biomass suspension is crucial in order to maximize the production at a minimum cost. Our aim is to develop a solution strategy for the modeling and simulation of high solid concentration of biomass suspension during enzymatic hydrolysis. Also, we intend to develop a multi-scale model for enzymatic hydrolysis that captures the reaction kinetics of cellulose chains in PBE form, cellulose rod orientation and interaction, as well as hydrodynamics and plasticity of the biomass mixture. We extended and improved the established kinetic model proposed by Griggs et al. [Griggs et al., 2012a]. We built the reduced order models by ignoring significantly small terms and determined the approximate solutions by employing asymptotic analysis method. Liquid crystal theory was adopted to study the cellulose fibers. The complete model was solved using DAE-QMOM technique in finite-element software package, COMSOL. Essentially, we made a clear connection between microscopic, mesoscopic, and macroscopic properties of biomass slurries undergoing enzymatic hydrolysis. The results show that the quality of mixing within a reactor is crucial in optimizing the hydrolysis product. Also, the biomass suspension shows non-Newtonian behaviors such as shear thinning, yield stress, and normal stress difference, which is in agreement with experimental results. The extended model improved the predictive capabilities, hence increased our understanding on the behavior of biomass suspension.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Norazaliza, Mohd Jamil
author_facet	Norazaliza, Mohd Jamil
author_sort	Norazaliza, Mohd Jamil
title	Mathematical modeling and simulation of biofuel production from lignocellulosic biomass
title_short	Mathematical modeling and simulation of biofuel production from lignocellulosic biomass
title_full	Mathematical modeling and simulation of biofuel production from lignocellulosic biomass
title_fullStr	Mathematical modeling and simulation of biofuel production from lignocellulosic biomass
title_full_unstemmed	Mathematical modeling and simulation of biofuel production from lignocellulosic biomass
title_sort	mathematical modeling and simulation of biofuel production from lignocellulosic biomass
granting_institution	University of South Carolina
granting_department	College of Arts and Sciences
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/13533/16/Mathematical%20analysis%20of%20a%20kinetic%20model%20for.pdf
_version_	1783731988166868992

Mathematical modeling and simulation of biofuel production from lignocellulosic biomass

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