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Biomass characteristics index: a numerical approach in palm bio-energy estimation

In order to give a clear insight of the energy output estimation from the biomass, a comprehensive study on the physical properties of the biomass: bulk density and moisture content is crucial. A Biomass Characteristics Index (BCI) is proposed to represent the relationship between bulk density and m...

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Main Authors: Tang, Jiang Ping, Lam, Hon Loong, Abdul Aziz, Mustafa Kamal, Morad, Noor Azian
Format: Article
Published: Italian Association of Chemical Engineering - AIDIC 2014
Subjects:
TP Chemical technology
Online Access:http://eprints.utm.my/id/eprint/52012/
http://dx.doi.org/10.1016/B978-0-444-63455-9.50017-9
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spelling my.utm.520122018-11-30T07:00:17Z http://eprints.utm.my/id/eprint/52012/ Biomass characteristics index: a numerical approach in palm bio-energy estimation Tang, Jiang Ping Lam, Hon Loong Abdul Aziz, Mustafa Kamal Morad, Noor Azian TP Chemical technology In order to give a clear insight of the energy output estimation from the biomass, a comprehensive study on the physical properties of the biomass: bulk density and moisture content is crucial. A Biomass Characteristics Index (BCI) is proposed to represent the relationship between bulk density and moisture content. A numerical framework is developed to determine the BCI. This index is used to estimate the biomass bulk density and moisture content before the calorific value calculation. The classification of biomass according to its specific BCI can forecast the related bulk density and moisture content. Therefore, it reduces the hassle and time constraint to get those values through conventional empirical method. This will increase the overall biomass operational management efficiency. Italian Association of Chemical Engineering - AIDIC 2014 Article PeerReviewed Tang, Jiang Ping and Lam, Hon Loong and Abdul Aziz, Mustafa Kamal and Morad, Noor Azian (2014) Biomass characteristics index: a numerical approach in palm bio-energy estimation. Computer Aided Chemical Engineering, 33 . pp. 1093-1098. ISSN 1570-7946 http://dx.doi.org/10.1016/B978-0-444-63455-9.50017-9
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TP Chemical technology
spellingShingle TP Chemical technology
Tang, Jiang Ping
Lam, Hon Loong
Abdul Aziz, Mustafa Kamal
Morad, Noor Azian
Biomass characteristics index: a numerical approach in palm bio-energy estimation
description In order to give a clear insight of the energy output estimation from the biomass, a comprehensive study on the physical properties of the biomass: bulk density and moisture content is crucial. A Biomass Characteristics Index (BCI) is proposed to represent the relationship between bulk density and moisture content. A numerical framework is developed to determine the BCI. This index is used to estimate the biomass bulk density and moisture content before the calorific value calculation. The classification of biomass according to its specific BCI can forecast the related bulk density and moisture content. Therefore, it reduces the hassle and time constraint to get those values through conventional empirical method. This will increase the overall biomass operational management efficiency.
format Article
author Tang, Jiang Ping
Lam, Hon Loong
Abdul Aziz, Mustafa Kamal
Morad, Noor Azian
author_facet Tang, Jiang Ping
Lam, Hon Loong
Abdul Aziz, Mustafa Kamal
Morad, Noor Azian
author_sort Tang, Jiang Ping
title Biomass characteristics index: a numerical approach in palm bio-energy estimation
title_short Biomass characteristics index: a numerical approach in palm bio-energy estimation
title_full Biomass characteristics index: a numerical approach in palm bio-energy estimation
title_fullStr Biomass characteristics index: a numerical approach in palm bio-energy estimation
title_full_unstemmed Biomass characteristics index: a numerical approach in palm bio-energy estimation
title_sort biomass characteristics index: a numerical approach in palm bio-energy estimation
publisher Italian Association of Chemical Engineering - AIDIC
publishDate 2014
url http://eprints.utm.my/id/eprint/52012/
http://dx.doi.org/10.1016/B978-0-444-63455-9.50017-9
_version_ 1643653127484735488
score 13.211869

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