Anhydrous weight loss prediction of meranti sawdust during torrefaction using rousset model

In torrefaction, the mass loss distribution is evaluated in terms of anhydrous weight loss (AWL). Since temperature gives significant effects on AWL and the behaviour of biomass is highly associated with the AWL, therefore a suitable model for estimating the reaction kinetics is necessary for descri...

Full description

Saved in:
Bibliographic Details
Main Authors: Nur Hazirah Huda, Mohd Harun, Noor Asma Fazli, Abdul Samad, Suriyati, Saleh
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/23361/1/Anhydrous%20weight%20loss%20prediction%20of%20meranti%20sawdust%20during%20torrefaction%20using%20rousset%20model.pdf
http://umpir.ump.edu.my/id/eprint/23361/
http://iopscience.iop.org/article/10.1088/1757-899X/318/1/012014/meta
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.23361
record_format eprints
spelling my.ump.umpir.233612018-12-21T07:50:58Z http://umpir.ump.edu.my/id/eprint/23361/ Anhydrous weight loss prediction of meranti sawdust during torrefaction using rousset model Nur Hazirah Huda, Mohd Harun Noor Asma Fazli, Abdul Samad Suriyati, Saleh TP Chemical technology In torrefaction, the mass loss distribution is evaluated in terms of anhydrous weight loss (AWL). Since temperature gives significant effects on AWL and the behaviour of biomass is highly associated with the AWL, therefore a suitable model for estimating the reaction kinetics is necessary for describing the thermal degradation and predicting the AWL in order to improve its process. In this study, the kinetic parameters of Meranti sawdust are estimated by applying three-parallel reaction models namely the Rousset Model for torrefaction of Meranti sawdust at temperatures of 240°C, 270°C and 300°C. All kinetic parameters are estimated according to the degradation of biomass constituents which are lignin, cellulose and hemicellulose by following the Arrhenius Law. The result shows that AWL estimation using the kinetic parameters predicted from the Rousset model is in good agreement with the experimental result as the R2 value obtained is 0.99. It shows that the Rousset Model successfully described the degradation of lignin, cellulose and hemicellulose as well as the formation of char, volatile, tar and intermediate compound. Therefore it can be concluded that the Rousset Model is applicable to represent the torrefaction behaviour. IOP Publishing 2017 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23361/1/Anhydrous%20weight%20loss%20prediction%20of%20meranti%20sawdust%20during%20torrefaction%20using%20rousset%20model.pdf Nur Hazirah Huda, Mohd Harun and Noor Asma Fazli, Abdul Samad and Suriyati, Saleh (2017) Anhydrous weight loss prediction of meranti sawdust during torrefaction using rousset model. In: Malaysian Technical Universities Conference on Engineering and Technology (MUCET 2017), 6-7 December 2017 , Penang, Malaysia. pp. 1-6., 318 (1). ISSN 1757-8981 (Print), 1757-899X (Online) http://iopscience.iop.org/article/10.1088/1757-899X/318/1/012014/meta
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Nur Hazirah Huda, Mohd Harun
Noor Asma Fazli, Abdul Samad
Suriyati, Saleh
Anhydrous weight loss prediction of meranti sawdust during torrefaction using rousset model
description In torrefaction, the mass loss distribution is evaluated in terms of anhydrous weight loss (AWL). Since temperature gives significant effects on AWL and the behaviour of biomass is highly associated with the AWL, therefore a suitable model for estimating the reaction kinetics is necessary for describing the thermal degradation and predicting the AWL in order to improve its process. In this study, the kinetic parameters of Meranti sawdust are estimated by applying three-parallel reaction models namely the Rousset Model for torrefaction of Meranti sawdust at temperatures of 240°C, 270°C and 300°C. All kinetic parameters are estimated according to the degradation of biomass constituents which are lignin, cellulose and hemicellulose by following the Arrhenius Law. The result shows that AWL estimation using the kinetic parameters predicted from the Rousset model is in good agreement with the experimental result as the R2 value obtained is 0.99. It shows that the Rousset Model successfully described the degradation of lignin, cellulose and hemicellulose as well as the formation of char, volatile, tar and intermediate compound. Therefore it can be concluded that the Rousset Model is applicable to represent the torrefaction behaviour.
format Conference or Workshop Item
author Nur Hazirah Huda, Mohd Harun
Noor Asma Fazli, Abdul Samad
Suriyati, Saleh
author_facet Nur Hazirah Huda, Mohd Harun
Noor Asma Fazli, Abdul Samad
Suriyati, Saleh
author_sort Nur Hazirah Huda, Mohd Harun
title Anhydrous weight loss prediction of meranti sawdust during torrefaction using rousset model
title_short Anhydrous weight loss prediction of meranti sawdust during torrefaction using rousset model
title_full Anhydrous weight loss prediction of meranti sawdust during torrefaction using rousset model
title_fullStr Anhydrous weight loss prediction of meranti sawdust during torrefaction using rousset model
title_full_unstemmed Anhydrous weight loss prediction of meranti sawdust during torrefaction using rousset model
title_sort anhydrous weight loss prediction of meranti sawdust during torrefaction using rousset model
publisher IOP Publishing
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/23361/1/Anhydrous%20weight%20loss%20prediction%20of%20meranti%20sawdust%20during%20torrefaction%20using%20rousset%20model.pdf
http://umpir.ump.edu.my/id/eprint/23361/
http://iopscience.iop.org/article/10.1088/1757-899X/318/1/012014/meta
_version_ 1643669579418828800
score 13.211869