Numerical Prediction of Kinetic Model for Enzymatic Hydrolysis of Cellulose using DAE-QMOM Approach

Numerical Prediction of Kinetic Model for Enzymatic Hydrolysis of Cellulose using DAE-QMOM Approach

Bioethanol production from lignocellulosic biomass consists of three fundamental processes; pre-treatment, enzymatic hydrolysis, and fermentation. In enzymatic hydrolysis phase, the enzymes break the cellulose chains into sugar in the form of cellobiose or glucose. A currently proposed...

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Main Authors: Norazaliza, Mohd Jamil, Qi, Wang
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing 2016
Subjects:
QA Mathematics
Online Access:http://umpir.ump.edu.my/id/eprint/15990/
http://umpir.ump.edu.my/id/eprint/15990/
http://umpir.ump.edu.my/id/eprint/15990/1/Jamil_2016_IOP_Conf._Ser.__Earth_Environ._Sci._36_012035.pdf
id ump-15990
recordtype eprints
spelling ump-159902017-02-03T06:49:17Z http://umpir.ump.edu.my/id/eprint/15990/ Numerical Prediction of Kinetic Model for Enzymatic Hydrolysis of Cellulose using DAE-QMOM Approach Norazaliza, Mohd Jamil Qi, Wang QA Mathematics Bioethanol production from lignocellulosic biomass consists of three fundamental processes; pre-treatment, enzymatic hydrolysis, and fermentation. In enzymatic hydrolysis phase, the enzymes break the cellulose chains into sugar in the form of cellobiose or glucose. A currently proposed kinetic model for enzymatic hydrolysis of cellulose that uses population balance equation (PBE) mechanism was studied. The complexity of the model due to integrodifferential equations makes it difficult to find the analytical solution. Therefore, we solved the full model of PBE numerically by using DAE-QMOM approach. The computation was carried out using MATLAB software. The numerical results were compared to the asymptotic solution developed in the author’s previous paper and the results of Griggs et al. Besides confirming the findings were consistent with those references, some significant characteristics were also captured. The PBE model for enzymatic hydrolysis process can be solved using DAE-QMOM method. Also, an improved understanding of the physical insights of the model was achieved. IOP Publishing 2016-06 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/15990/1/Jamil_2016_IOP_Conf._Ser.__Earth_Environ._Sci._36_012035.pdf Norazaliza, Mohd Jamil and Qi, Wang (2016) Numerical Prediction of Kinetic Model for Enzymatic Hydrolysis of Cellulose using DAE-QMOM Approach. In: IOP Conference Series: Earth and Environmental Science, International Conference on Chemical Engineering and Bioprocess Engineering, 9–12 December 2015 , Kota Kinabalu, Malaysia. pp. 1-6., 36 (012035). ISSN 1755-1315 http://dx.doi.org/10.1088/1755-1315/36/1/012035
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
Qi, Wang
Numerical Prediction of Kinetic Model for Enzymatic Hydrolysis of Cellulose using DAE-QMOM Approach
description Bioethanol production from lignocellulosic biomass consists of three fundamental processes; pre-treatment, enzymatic hydrolysis, and fermentation. In enzymatic hydrolysis phase, the enzymes break the cellulose chains into sugar in the form of cellobiose or glucose. A currently proposed kinetic model for enzymatic hydrolysis of cellulose that uses population balance equation (PBE) mechanism was studied. The complexity of the model due to integrodifferential equations makes it difficult to find the analytical solution. Therefore, we solved the full model of PBE numerically by using DAE-QMOM approach. The computation was carried out using MATLAB software. The numerical results were compared to the asymptotic solution developed in the author’s previous paper and the results of Griggs et al. Besides confirming the findings were consistent with those references, some significant characteristics were also captured. The PBE model for enzymatic hydrolysis process can be solved using DAE-QMOM method. Also, an improved understanding of the physical insights of the model was achieved.
format Conference or Workshop Item
author Norazaliza, Mohd Jamil
Qi, Wang
author_facet Norazaliza, Mohd Jamil
Qi, Wang
author_sort Norazaliza, Mohd Jamil
title Numerical Prediction of Kinetic Model for Enzymatic Hydrolysis of Cellulose using DAE-QMOM Approach
title_short Numerical Prediction of Kinetic Model for Enzymatic Hydrolysis of Cellulose using DAE-QMOM Approach
title_full Numerical Prediction of Kinetic Model for Enzymatic Hydrolysis of Cellulose using DAE-QMOM Approach
title_fullStr Numerical Prediction of Kinetic Model for Enzymatic Hydrolysis of Cellulose using DAE-QMOM Approach
title_full_unstemmed Numerical Prediction of Kinetic Model for Enzymatic Hydrolysis of Cellulose using DAE-QMOM Approach
title_sort numerical prediction of kinetic model for enzymatic hydrolysis of cellulose using dae-qmom approach
publisher IOP Publishing
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/15990/
http://umpir.ump.edu.my/id/eprint/15990/
http://umpir.ump.edu.my/id/eprint/15990/1/Jamil_2016_IOP_Conf._Ser.__Earth_Environ._Sci._36_012035.pdf
first_indexed 2023-09-18T22:21:16Z
last_indexed 2023-09-18T22:21:16Z
_version_ 1777415672453660672

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