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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Main Authors: Javan, Saeed, Ahmadi, Pouria, Mansoubi, Hadi, Mohd. Jaafar, Mohammad Nazri
Format: Article
Published: John Wiley 2015
Subjects:
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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.
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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
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AT ahmadipouria exergoeconomicbasedoptimizationofagasfiredsteampowerplantusinggeneticalgorithm
AT mansoubihadi exergoeconomicbasedoptimizationofagasfiredsteampowerplantusinggeneticalgorithm
AT mohdjaafarmohammadnazri exergoeconomicbasedoptimizationofagasfiredsteampowerplantusinggeneticalgorithm