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EXERGOECONOMIC OPTIMIZATION OF A THERMAL POWER PLANT USING PARTICLE SWARM OPTIMIZATION

ABSTRACT
The basic concept in applying numerical optimization methods for power plants optimization problems is to combine a State of the art search algorithm with a powerful, power plant simulation program to optimize the energy conversion system from both economic and thermodynamic viewpoints. Improving the energy conversion system by optimizing the design and operation and studying interactions among plant components requires the investigation of a large number of possible design and operational alternatives. State of the art search algorithms can assist in the development of cost-effective power plant concepts. The aim of this paper is to present how nature-inspired swarm intelligence (especially PSO) can be applied in the field of power plant optimization and how to find solutions for the problems arising and also to apply exergoeconomic optimization technics for thermal power plants.
KEYWORDS
PAPER SUBMITTED: 2012-06-25
PAPER REVISED: 2012-09-22
PAPER ACCEPTED: 2012-11-24
DOI REFERENCE: https://doi.org/10.2298/TSCI120625213G
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2013, VOLUME 17, ISSUE 2, PAGES [509 - 524]
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© 2019 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, 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