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Optimization of stack emission parameters using gaussian plume model

Numerical simulation is an economical way to control air pollution because of its consistency and ease of use compared to traditional data sampling method. The objective of this research is to develop a practical numerical algorithm to predict the dispersion of pollutant particles around a specific...

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Main Authors: Ali, Z., Ubaidullah, D., Zahid, M. N., Osman, Kahar
Format: Article
Language:English
Published: Penerbit UTM Press 2012
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/47325/1/ZairiAli2012_OptimizationofStackEmissionParameters.pdf
http://eprints.utm.my/id/eprint/47325/
https://jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/1546
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spelling my.utm.473252019-03-31T08:38:14Z http://eprints.utm.my/id/eprint/47325/ Optimization of stack emission parameters using gaussian plume model Ali, Z. Ubaidullah, D. Zahid, M. N. Osman, Kahar TK Electrical engineering. Electronics Nuclear engineering Numerical simulation is an economical way to control air pollution because of its consistency and ease of use compared to traditional data sampling method. The objective of this research is to develop a practical numerical algorithm to predict the dispersion of pollutant particles around a specific source of emission. The algorithm is tested with a rubber wood manufacturing plant. Gaussian-plume model were used as air dispersion model due to its simplicity and generic application. Results of this study show the concentrations of the pollutant particles on ground level reached approximately 90μg/m3, compared with other software. This value surpasses the limit of 50μg/m3 stipulated by the National Ambient Air Quality Standard (NAAQS) and Recommended Malaysian Guidelines (RMG) set by Environment Department of Malaysia. The manufacturing plant is advised to make a few changes with its emission parameters and adequate values are suggested. In general, the developed algorithm is proven to be able to predict particles distribution around emitted source with acceptable accuracy. Penerbit UTM Press 2012 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/47325/1/ZairiAli2012_OptimizationofStackEmissionParameters.pdf Ali, Z. and Ubaidullah, D. and Zahid, M. N. and Osman, Kahar (2012) Optimization of stack emission parameters using gaussian plume model. Jurnal Teknologi (Sciences and Engineering), 58 (SUP. 2). pp. 45-51. ISSN 0127-9696 https://jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/1546
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/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ali, Z.
Ubaidullah, D.
Zahid, M. N.
Osman, Kahar
Optimization of stack emission parameters using gaussian plume model
description Numerical simulation is an economical way to control air pollution because of its consistency and ease of use compared to traditional data sampling method. The objective of this research is to develop a practical numerical algorithm to predict the dispersion of pollutant particles around a specific source of emission. The algorithm is tested with a rubber wood manufacturing plant. Gaussian-plume model were used as air dispersion model due to its simplicity and generic application. Results of this study show the concentrations of the pollutant particles on ground level reached approximately 90μg/m3, compared with other software. This value surpasses the limit of 50μg/m3 stipulated by the National Ambient Air Quality Standard (NAAQS) and Recommended Malaysian Guidelines (RMG) set by Environment Department of Malaysia. The manufacturing plant is advised to make a few changes with its emission parameters and adequate values are suggested. In general, the developed algorithm is proven to be able to predict particles distribution around emitted source with acceptable accuracy.
format Article
author Ali, Z.
Ubaidullah, D.
Zahid, M. N.
Osman, Kahar
author_facet Ali, Z.
Ubaidullah, D.
Zahid, M. N.
Osman, Kahar
author_sort Ali, Z.
title Optimization of stack emission parameters using gaussian plume model
title_short Optimization of stack emission parameters using gaussian plume model
title_full Optimization of stack emission parameters using gaussian plume model
title_fullStr Optimization of stack emission parameters using gaussian plume model
title_full_unstemmed Optimization of stack emission parameters using gaussian plume model
title_sort optimization of stack emission parameters using gaussian plume model
publisher Penerbit UTM Press
publishDate 2012
url http://eprints.utm.my/id/eprint/47325/1/ZairiAli2012_OptimizationofStackEmissionParameters.pdf
http://eprints.utm.my/id/eprint/47325/
https://jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/1546
_version_ 1643652288827359232
score 13.211869

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