Tau Method for the Numerical Solution of a Fuzzy Fractional Kinetic Model and Its Application To the Oil Palm Frond as a Promising Source of Xylose
Loading...

Date
2015
Journal Title
Journal ISSN
Volume Title
Publisher
Academic Press inc Elsevier Science
Open Access Color
BRONZE
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
The Oil Palm Frond (a lignocellulosic material) is a high-yielding energy crop that can be utilized as a promising source of xylose. It holds the potential as a feedstock for bioethanol production due to being free and inexpensive in terms of collection, storage and cropping practices. The aim of the paper is to calculate the concentration and yield of xylose from the acid hydrolysis of the Oil Palm Frond through a fuzzy fractional kinetic model. The approximate solution of the derived fuzzy fractional model is achieved by using a tau method based on the fuzzy operational matrix of the generalized Laguerre polynomials. The results validate the effectiveness and applicability of the proposed solution method for solving this type of fuzzy kinetic model. (C) 2015 Elsevier Inc. All rights reserved.
Description
Yunus, Robiah/0000-0002-3650-1291; Ahmadian, Ali/0000-0002-0106-7050; Salahshour, Soheil/0000-0003-1390-3551
Keywords
Fuzzy Differential Equations, Caputo Fractional Derivatives, Spectral Tau Method, Laguerre Polynomials, Operational Matrices, Fuzzy ordinary differential equations, fuzzy differential equations, Laguerre polynomials, Fractional ordinary differential equations, operational matrices, Caputo fractional derivatives, Numerical methods for initial value problems involving ordinary differential equations, spectral tau method
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
Ahmadian, A...et al. (2015). Tau method for the numerical solution of a fuzzy fractional kinetic model and its application to the oil palm frond as a promising source of xylose. Journal Of The Computational Physics, 294, 562-584. http://dx.doi.org/10.1016/j.jcp.2015.03.011
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
60
Source
Journal of Computational Physics
Volume
294
Issue
Start Page
562
End Page
584
PlumX Metrics
Citations
CrossRef : 59
Scopus : 67
Captures
Mendeley Readers : 27
SCOPUS™ Citations
69
checked on Feb 24, 2026
Web of Science™ Citations
61
checked on Feb 24, 2026
Page Views
3
checked on Feb 24, 2026
Google Scholar™


