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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North Carolina State University
2016-09-01
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Series: | BioResources |
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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. |
first_indexed | 2024-12-19T04:34:46Z |
format | Article |
id | doaj.art-780a643436ec4d8d91a611c0e8ae99ed |
institution | Directory Open Access Journal |
issn | 1930-2126 1930-2126 |
language | English |
last_indexed | 2024-12-19T04:34:46Z |
publishDate | 2016-09-01 |
publisher | North Carolina State University |
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series | BioResources |
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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