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Title

Exergetic, Exergoeconomic and Exergoenvironmental Multi-Objective Genetic Algorithm Optimization of Qeshm Power and Water Cogeneration Plant

Year: 1398
COI: JR_GPJU-7-2_001
Language: EnglishView: 24
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Authors

Hossein Vazini Modabber - ۱ Division of Thermal Science & Energy Systems, Department of Mechanical Engineering, Faculty of Technology & Engineering, University of Qom, Qom, Iran ۲ Center of Environmental Research, University of Qom, Qom, Iran
Mohammad Hassan Khoshgoftar Manesh - ۱ Division of Thermal Science & Energy Systems, Department of Mechanical Engineering, Faculty of Technology & Engineering, University of Qom, Qom, Iran ۲ Center of Environmental Research, University of Qom, Qom, Iran

Abstract:

In this study, optimization of Qeshm power and water desalting cogeneration plant has been investigated. The objective functions are related to maximizing exergetic efficiency and minimization of exergoeconomic and exergoenvironmental parameters. Also, the integration of RO desalination with the existing plant has been evaluated based on these analyses. This plant includes two MAPNA ۲۵ MW gas turbines, two heat recovery steam generators, and two MEDTVC desalination units. Thermodynamic modeling and simulation of the plant have been performed in MATLAB software. The thermodynamic simulation verified by Thermoflex software and plant data with high accuracy. Also, the computer code has been developed to perform exergetic, exergoeconomic and exergoenvironmental analysis. Multi-Objective Genetic Algorithm (MOGA) has been applied to find optimum objective functions and decision variables based on exergetic, exergoeconomic and exergoenvironmental parameters. Results show that in the optimum plant overall exergetic efficiency of the plant has been increased by ۲۷.۷۸%, and total exergetic cost and total exergoenvironmental impacts have been decreased by ۰.۹۳% and by ۰.۸۹%.

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Paper COI Code

This Paper COI Code is JR_GPJU-7-2_001. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1254536/

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Vazini Modabber, Hossein and Khoshgoftar Manesh, Mohammad Hassan,1398,Exergetic, Exergoeconomic and Exergoenvironmental Multi-Objective Genetic Algorithm Optimization of Qeshm Power and Water Cogeneration Plant,https://civilica.com/doc/1254536

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