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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:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/55142/ http://dx.doi.org/10.1002/htj.21135
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id	my.utm.55142
record_format	eprints
spelling	my.utm.551422017-02-15T07:41:03Z http://eprints.utm.my/id/eprint/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
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/
topic	TJ Mechanical engineering and machinery
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
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.
format	Article
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
title	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_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_sort	exergoeconomic based optimization of a gas fired steam power plant using genetic algorithm
publisher	John Wiley
publishDate	2015
url	http://eprints.utm.my/id/eprint/55142/ http://dx.doi.org/10.1002/htj.21135
_version_	1643653706985504768
score	13.211869

Exergoeconomic based optimization of a gas fired steam power plant using genetic algorithm

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