Estimation of Moisture Content of Oil Palm Fronds through Correlation with Density for the Process of Gasification

In the gasification process, one prominent factor that affects the quality of the resulting syngas is the moisture content of the biomass feedstock. Determining the moisture content of a feedstock is considered to be one of the challenges of the process. The information about moisture content of a f...

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Main Authors: Shaharin Anwar Sulaiman, Fiseha Mekonnen Guangul, Ramzy E. Konda, Samson M. Atnaw, Mohamad Nazmi Moni
Format: Article
Language:English
Published: North Carolina State University 2016-09-01
Series:BioResources
Subjects:
Online Access:http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_11_4_8941_Sulaiman_Moisture_Content_Oil_Palm_Fronds
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author Shaharin Anwar Sulaiman
Fiseha Mekonnen Guangul
Ramzy E. Konda
Samson M. Atnaw
Mohamad Nazmi Moni
author_facet Shaharin Anwar Sulaiman
Fiseha Mekonnen Guangul
Ramzy E. Konda
Samson M. Atnaw
Mohamad Nazmi Moni
author_sort Shaharin Anwar Sulaiman
collection DOAJ
description In the gasification process, one prominent factor that affects the quality of the resulting syngas is the moisture content of the biomass feedstock. Determining the moisture content of a feedstock is considered to be one of the challenges of the process. The information about moisture content of a feedstock is required to decide the need for further drying prior to the gasification process. In this study, a novel method was developed for the evaluation of the moisture content from density of oil palm fronds (OPF) in a sufficiently accurate manner for gasification process. A total of 147 samples from different sections of freshly pruned fronds were prepared. The density of each of the samples was determined from its weight and volume. A fine sand displacement method, using fine sand and a graduated cylinder, determined the volume of OPF. The moisture content of the OPF was determined from the weight difference of the samples before and after the drying process. The experiment implied a good correlation between moisture content and density of the biomass, in which the square of the correlation coefficient (R2) value was found to be satisfactory.
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spelling doaj.art-780a643436ec4d8d91a611c0e8ae99ed2022-12-21T20:35:47ZengNorth Carolina State UniversityBioResources1930-21261930-21262016-09-011148941895210.15376/biores.11.4.8941-8952Estimation of Moisture Content of Oil Palm Fronds through Correlation with Density for the Process of GasificationShaharin Anwar Sulaiman0Fiseha Mekonnen Guangul1Ramzy E. Konda2Samson M. Atnaw3Mohamad Nazmi Moni4Department of Mechanical Engineering, Universiti Teknologi PETRONAS, 31750 Tronoh, Perak; MalaysiaDepartment of Mechanical Engineering, Middle East College, Knowledge Oasis Muscat, P.B. No. 79, Al Rusayl, Postal Code: 124, Sultanate of Oman; OmanMechanical Engineering Department, Red See University; SudanFaculty of Engineering Technology, Universiti Malaysia Pahang, 26300, Gambang Pahang; MalaysiaDepartment of Mechanical Engineering, Universiti Teknologi PETRONAS, 31750 Tronoh, Perak; MalaysiaIn the gasification process, one prominent factor that affects the quality of the resulting syngas is the moisture content of the biomass feedstock. Determining the moisture content of a feedstock is considered to be one of the challenges of the process. The information about moisture content of a feedstock is required to decide the need for further drying prior to the gasification process. In this study, a novel method was developed for the evaluation of the moisture content from density of oil palm fronds (OPF) in a sufficiently accurate manner for gasification process. A total of 147 samples from different sections of freshly pruned fronds were prepared. The density of each of the samples was determined from its weight and volume. A fine sand displacement method, using fine sand and a graduated cylinder, determined the volume of OPF. The moisture content of the OPF was determined from the weight difference of the samples before and after the drying process. The experiment implied a good correlation between moisture content and density of the biomass, in which the square of the correlation coefficient (R2) value was found to be satisfactory.http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_11_4_8941_Sulaiman_Moisture_Content_Oil_Palm_FrondsDensityBiomassMoisture contentOil palm frondDrying
spellingShingle Shaharin Anwar Sulaiman
Fiseha Mekonnen Guangul
Ramzy E. Konda
Samson M. Atnaw
Mohamad Nazmi Moni
Estimation of Moisture Content of Oil Palm Fronds through Correlation with Density for the Process of Gasification
BioResources
Density
Biomass
Moisture content
Oil palm frond
Drying
title Estimation of Moisture Content of Oil Palm Fronds through Correlation with Density for the Process of Gasification
title_full Estimation of Moisture Content of Oil Palm Fronds through Correlation with Density for the Process of Gasification
title_fullStr Estimation of Moisture Content of Oil Palm Fronds through Correlation with Density for the Process of Gasification
title_full_unstemmed Estimation of Moisture Content of Oil Palm Fronds through Correlation with Density for the Process of Gasification
title_short Estimation of Moisture Content of Oil Palm Fronds through Correlation with Density for the Process of Gasification
title_sort estimation of moisture content of oil palm fronds through correlation with density for the process of gasification
topic Density
Biomass
Moisture content
Oil palm frond
Drying
url http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_11_4_8941_Sulaiman_Moisture_Content_Oil_Palm_Fronds
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