THERMAL SCIENCE

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Maryam Pourhasanzadeh

THERMO-ECONOMIC-ENVIRONMENTAL OPTIMIZATION OF A MICROTURBINE USING GENETIC ALGORITHM

ABSTRACT
Thermo-economic-environmental optimization of a 100 kW microturbine has been numerically investigated by genetic algorithm optimization method. An objective function is defined as the sum of the total cost of the plant and the costs of environmental pollutant effects (the emission of NOx and CO gases due to fuel combustion), while the design parameters are the common important parameters of an industrial power plant cycle. The objective function is then formulated in the design parameters. Finally, the optimum values of the parameters are computed by minimizing the objective function using the Genetic Algorithm (GA).
KEYWORDS
microturbine, optimization, genetic algorithm, exergy, CGAM
PAPER SUBMITTED: 2011-01-11
PAPER REVISED: 2013-12-11
PAPER ACCEPTED: 2013-12-14
PUBLISHED ONLINE: 2013-12-22
DOI REFERENCE: https://doi.org/10.2298/TSCI110111153P
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2015, VOLUME 19, ISSUE Issue 2, PAGES [475 - 487]
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Thermo-economic-environmental optimization of a microturbine using genetic algorithm

© 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