عنوان مقاله [English]
One of the optimization methods is exergy analysis. It uses the conservation of mass and conservation of energy principles, together with the second law of thermodynamics, for the analysis, design and improvement of energy and other systems. Exergy is defined as the maximum amount of work which can be produced by a system or a flow of matter or energy as it comes to equilibrium with a reference environment. Unlike energy, exergy is not subject to a conservation law (except for ideal, or reversible, processes). Rather, exergy is consumed or destroyed, due to the irreversibility in any real process. The exergy consumption during a process is proportional to the entropy created due to the irreversibilities associated with the process. Exergy is a measure of the quality of energy which, in any real process, is not conserved but, rather, is in part destroyed or lost. Many research studies have been carried out on the exergy analysis of wind energy. The purpose of this paper is to develop an improved approach to the exergy analysis and optimization of a wind turbine and find a way to decrease average Entropy generation and increase exergy in ' Bergey Excel-S ' wind turbine through Cut-in, Rated, Furling speeds optimization, using Particle swarm optimization algorithms. Firstly, we would go for mathematical modeling of wind turbine exergy which results in objective function. Then, by means of nerve web computer code in collecting statistical data of so called turbine, it would be modeled in Matlab program and the output results will be covered in tables and diagrams in this paper. This results shows a relation between inlet air speed, Entropy generation, and the efficiency of second law. By studying optimization results from pso algorithm, we have observed a 24.53 % decrease in Entropy generation and 41.67% increase in exergy efficiency.