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...
| Format: | Article |
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| Language: | English |
| Published: |
Faculty of Mechanical Engineering and University Publication Centre (UPENA)
2008
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| Online Access: | https://ir.uitm.edu.my/id/eprint/17559/ |
| _version_ | 1848804301037633536 |
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| building | UiTM Institutional Repository |
| collection | Online Access |
| 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). |
| first_indexed | 2025-11-14T21:52:57Z |
| format | Article |
| id | uitm-17559 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:52:57Z |
| publishDate | 2008 |
| publisher | Faculty of Mechanical Engineering and University Publication Centre (UPENA) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-175592017-08-01T06:31:37Z https://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 jmeche 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 https://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. (2008) Journal of Mechanical Engineering (JMechE) <https://ir.uitm.edu.my/view/publication/Journal_of_Mechanical_Engineering_=28JMechE=29.html>, 5 (1). pp. 1-15. ISSN 1823-5514 ; 2550-164X https://jmeche.uitm.edu.my/ |
| spellingShingle | Combining Genetic Algorithm and Artificial Neural Network to optimize biomass steam power plant emission / Ahmad Razlan Yusoff and Ishak Abdul Aziz |
| title | 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_short | 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 |
| url | https://ir.uitm.edu.my/id/eprint/17559/ https://ir.uitm.edu.my/id/eprint/17559/ |