Exergoeconomic based optimization of a gas fired steam power plant using genetic algorithm
This research paper mainly deals with exergy, economic, and environmental investigation of a 250 MW steam power plant located in Iran. In order to model this power plant, energy balance equations are used and each part of the power plant is modeled accordingly. Further by introducing the boiler as t...
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John Wiley
2015
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author | Javan, Saeed Ahmadi, Pouria Mansoubi, Hadi Mohd. Jaafar, Mohammad Nazri |
author_facet | Javan, Saeed Ahmadi, Pouria Mansoubi, Hadi Mohd. Jaafar, Mohammad Nazri |
author_sort | Javan, Saeed |
collection | ePrints |
description | This research paper mainly deals with exergy, economic, and environmental investigation of a 250 MW steam power plant located in Iran. In order to model this power plant, energy balance equations are used and each part of the power plant is modeled accordingly. Further by introducing the boiler as the main source of irreversibility, two approaches are presented to improve the boiler performance, reduction of excess air, and temperature reduction of gasses leaving the stacks. To study the effect of these two approaches, an objective function including the cost rate of exergy destruction of boiler, fuel cost, and cost rate of environmental impact is presented. The optimization process is done using a genetic algorithm. It is concluded that by optimizing, 20% reduction in the overall cost rate and 88% reduction in the cost rate of environmental impact can be achieved. |
first_indexed | 2024-03-05T19:36:48Z |
format | Article |
id | utm.eprints-55142 |
institution | Universiti Teknologi Malaysia - ePrints |
last_indexed | 2024-03-05T19:36:48Z |
publishDate | 2015 |
publisher | John Wiley |
record_format | dspace |
spelling | utm.eprints-551422017-02-15T07:41:03Z http://eprints.utm.my/55142/ Exergoeconomic based optimization of a gas fired steam power plant using genetic algorithm Javan, Saeed Ahmadi, Pouria Mansoubi, Hadi Mohd. Jaafar, Mohammad Nazri TJ Mechanical engineering and machinery This research paper mainly deals with exergy, economic, and environmental investigation of a 250 MW steam power plant located in Iran. In order to model this power plant, energy balance equations are used and each part of the power plant is modeled accordingly. Further by introducing the boiler as the main source of irreversibility, two approaches are presented to improve the boiler performance, reduction of excess air, and temperature reduction of gasses leaving the stacks. To study the effect of these two approaches, an objective function including the cost rate of exergy destruction of boiler, fuel cost, and cost rate of environmental impact is presented. The optimization process is done using a genetic algorithm. It is concluded that by optimizing, 20% reduction in the overall cost rate and 88% reduction in the cost rate of environmental impact can be achieved. John Wiley 2015-09 Article PeerReviewed Javan, Saeed and Ahmadi, Pouria and Mansoubi, Hadi and Mohd. Jaafar, Mohammad Nazri (2015) Exergoeconomic based optimization of a gas fired steam power plant using genetic algorithm. Heat Transfer - Asian Research, 44 (6). pp. 533-551. ISSN 1099-2871 http://dx.doi.org/10.1002/htj.21135 DOI:10.1002/htj.21135 |
spellingShingle | TJ Mechanical engineering and machinery Javan, Saeed Ahmadi, Pouria Mansoubi, Hadi Mohd. Jaafar, Mohammad Nazri Exergoeconomic based optimization of a gas fired steam power plant using genetic algorithm |
title | Exergoeconomic based optimization of a gas fired steam power plant using genetic algorithm |
title_full | Exergoeconomic based optimization of a gas fired steam power plant using genetic algorithm |
title_fullStr | Exergoeconomic based optimization of a gas fired steam power plant using genetic algorithm |
title_full_unstemmed | Exergoeconomic based optimization of a gas fired steam power plant using genetic algorithm |
title_short | Exergoeconomic based optimization of a gas fired steam power plant using genetic algorithm |
title_sort | exergoeconomic based optimization of a gas fired steam power plant using genetic algorithm |
topic | TJ Mechanical engineering and machinery |
work_keys_str_mv | AT javansaeed exergoeconomicbasedoptimizationofagasfiredsteampowerplantusinggeneticalgorithm AT ahmadipouria exergoeconomicbasedoptimizationofagasfiredsteampowerplantusinggeneticalgorithm AT mansoubihadi exergoeconomicbasedoptimizationofagasfiredsteampowerplantusinggeneticalgorithm AT mohdjaafarmohammadnazri exergoeconomicbasedoptimizationofagasfiredsteampowerplantusinggeneticalgorithm |