Numerical prediction of kinetic model for enzymatic hydrolysis of cellulose using DAE-QMOM approach

International Conference on Chemical and Bioprocess Engineering

地球科学;化学;生物科学

Jamil, N.M.^1,2 ; Wang, Q.^1,2

Faculty of Industrial Sciences and Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, Pahang, Gambang, Kuantan

26300, Malaysia^1

Department of Mathematics, University of South Carolina, USC, Columbia

SC

29208, United States^2

关键词: Asymptotic solutions;    Bio-ethanol production;    Kinetic modeling;    Lignocellulosic biomass;    Matlab- software;    Numerical predictions;    Numerical results;    Population balance equation;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/36/1/012035/pdf
DOI  :  10.1088/1755-1315/36/1/012035

学科分类：生物科学（综合）

来源: IOP

【 摘 要 】

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.