Title of article :
Exergetic, Exergoeconomic and Exergoenvironmental Multi-Objective Genetic Algorithm Optimization of Qeshm Power and Water Cogeneration Plant
Author/Authors :
Vazini Modabber, H Division of Thermal Science & Energy Systems - Department of Mechanical Engineering - Faculty of Technology & Engineering - University of Qom, Qom - Center of Environmental Research - University of Qom , Khoshgoftar Manesh, M H Division of Thermal Science & Energy Systems - Department of Mechanical Engineering - Faculty of Technology & Engineering - University of Qom, Qom - Center of Environmental Research - University of Qom
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 25 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 27.78%, and total exergetic cost and total exergoenvironmental impacts
have been decreased by 0.93% and by 0.89%.
Keywords :
Cogeneration , MEDTVC Desalination , RO Desalination , Exergy Analysis , Exergoeconomic Analysis , Exergoenvironmental Analysis
Journal title :
Astroparticle Physics
