THERMAL SCIENCE

International Scientific Journal

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Mofid Gorji-Bandpy

,

Hamed Goodarzian

EXERGOECONOMIC OPTIMIZATION OF GAS TURBINE POWER PLANTS OPERATING PARAMETERS USING GENETIC ALGORITHMS: A CASE STUDY

ABSTRACT
Exergoeconomic analysis helps designers to find ways to improve the performance of a system in a cost effective way. This can play a vital role in the analysis, design and optimization of thermal systems. Thermoeconomic optimization is a powerful and effective tool in finding the best solutions between the two competing objectives, minimizing economic costs and maximizing exergetic efficiency. In this paper, operating parameters of a gas turbine power plant that produce 140MW of electricity were optimized using exergoeconomic principles and genetic algorithms. The analysis shows that the cost of final product is 9.78% lower with respect to the base case. This is achieved with 8.77% increase in total capital investment. Also thermoeconomic analysis and evaluation were performed for the gas turbine power plant. The results show the deep relation of the unit cost on the change of the operating parameters.
KEYWORDS
exergoeconomic, gas turbine, cost balance, power plant, exergoeconomic optimization, genetic algorithms
PAPER SUBMITTED: 2010-11-08
PAPER REVISED: 2010-11-17
PAPER ACCEPTED: 2010-12-28
DOI REFERENCE: https://doi.org/10.2298/TSCI101108010G
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2011, VOLUME 15, ISSUE Issue 1, PAGES [43 - 54]
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Exergoeconomic optimization of gas turbine power plants operating parameters using genetic algorithms: A case study

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence