Combining Genetic Algorithm and Artificial Neural Network to optimize biomass steam power plant emission / Ahmad Razlan Yusoff and Ishak Abdul Aziz

Combining Genetic Algorithm and Artificial Neural Network to optimize biomass steam power plant emission / Ahmad Razlan Yusoff and Ishak Abdul Aziz

Boiler emission released from the steam power plant of palm oil mill cause severe atmospheric pollutions. Genetic Algorithm and Artificial Neural Network (GAANN) were used to analyze the real data taken from palm oil mill power plant. A parametric study of Genetic Algorithms (GA) parameters such as...

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Format: Article
Language:English
Published: Faculty of Mechanical Engineering and University Publication Centre (UPENA) 2008
Online Access:http://ir.uitm.edu.my/id/eprint/17559/
http://ir.uitm.edu.my/id/eprint/17559/1/AJ_AHMAD%20RAZLAN%20YUSOFF%20JME%2008.pdf
id uitm-17559
recordtype eprints
spelling uitm-175592017-08-01T06:31:37Z http://ir.uitm.edu.my/id/eprint/17559/ Combining Genetic Algorithm and Artificial Neural Network to optimize biomass steam power plant emission / Ahmad Razlan Yusoff and Ishak Abdul Aziz Boiler emission released from the steam power plant of palm oil mill cause severe atmospheric pollutions. Genetic Algorithm and Artificial Neural Network (GAANN) were used to analyze the real data taken from palm oil mill power plant. A parametric study of Genetic Algorithms (GA) parameters such as population size, mutation rates and crossover rates are carried out to get optimal parameters for a GAANN model. GAANN is utilized to search several optimal parameters for the boiler, turbine and furnace which released carbon monoxide (CO), nitrogen oxide (NOJ, sulfur dioxide (S02) and particulate matters (PM). Monitoring and controlling of the emissions are achieved with optimum operating conditions of boiler parameters, i.e. below the level permitted by Department of Environment (DOE). Faculty of Mechanical Engineering and University Publication Centre (UPENA) 2008 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/17559/1/AJ_AHMAD%20RAZLAN%20YUSOFF%20JME%2008.pdf UNSPECIFIED (2008) Combining Genetic Algorithm and Artificial Neural Network to optimize biomass steam power plant emission / Ahmad Razlan Yusoff and Ishak Abdul Aziz. Journal of Mechanical Engineering, 5 (1). pp. 1-15. ISSN 1823-5514
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
description Boiler emission released from the steam power plant of palm oil mill cause severe atmospheric pollutions. Genetic Algorithm and Artificial Neural Network (GAANN) were used to analyze the real data taken from palm oil mill power plant. A parametric study of Genetic Algorithms (GA) parameters such as population size, mutation rates and crossover rates are carried out to get optimal parameters for a GAANN model. GAANN is utilized to search several optimal parameters for the boiler, turbine and furnace which released carbon monoxide (CO), nitrogen oxide (NOJ, sulfur dioxide (S02) and particulate matters (PM). Monitoring and controlling of the emissions are achieved with optimum operating conditions of boiler parameters, i.e. below the level permitted by Department of Environment (DOE).
format Article
title Combining Genetic Algorithm and Artificial Neural Network to optimize biomass steam power plant emission / Ahmad Razlan Yusoff and Ishak Abdul Aziz
spellingShingle Combining Genetic Algorithm and Artificial Neural Network to optimize biomass steam power plant emission / Ahmad Razlan Yusoff and Ishak Abdul Aziz
title_short Combining Genetic Algorithm and Artificial Neural Network to optimize biomass steam power plant emission / Ahmad Razlan Yusoff and Ishak Abdul Aziz
title_full Combining Genetic Algorithm and Artificial Neural Network to optimize biomass steam power plant emission / Ahmad Razlan Yusoff and Ishak Abdul Aziz
title_fullStr Combining Genetic Algorithm and Artificial Neural Network to optimize biomass steam power plant emission / Ahmad Razlan Yusoff and Ishak Abdul Aziz
title_full_unstemmed Combining Genetic Algorithm and Artificial Neural Network to optimize biomass steam power plant emission / Ahmad Razlan Yusoff and Ishak Abdul Aziz
title_sort combining genetic algorithm and artificial neural network to optimize biomass steam power plant emission / ahmad razlan yusoff and ishak abdul aziz
publisher Faculty of Mechanical Engineering and University Publication Centre (UPENA)
publishDate 2008
url http://ir.uitm.edu.my/id/eprint/17559/
http://ir.uitm.edu.my/id/eprint/17559/1/AJ_AHMAD%20RAZLAN%20YUSOFF%20JME%2008.pdf
first_indexed 2023-09-18T22:58:34Z
last_indexed 2023-09-18T22:58:34Z
_version_ 1777418018998976512

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