Farhad Najafi - Energy Engineering Department, Power & Water University of technology
Pouria Ahmadi - Mechanical Engineering Department, Iran University of Science & Technology (IUST)
A. Reza .Ghaffarizadeh - Computer Science Department, Azad Arak University. Iran

In the present work a 50 MW Gas Turbine cycle is considered. The optimization procedure is Genetic Algorithm which is a new method in optimizing problems. Theplant is comprised of a gas turbine, air compressor, combustion chamber. The design Parameters of the plant, were chosen as: compressor pressure ratio (rcomp), compressorisentropic efficiency (ηcomp), gas turbine isentropic efficiency (ηGT), gas turbine inlet temperature (TC). In order to optimally find the design parameters a thermo-economicapproach has been followed. An objective function, representing the total cost of the plant in terms of dollar per second, was defined as the sum of the operating cost,related to the fuel consumption, the capital investment which stands for equipment purchase and maintenance cost. Subsequently, different parts of the objective function have been expressed in terms of decision variables. Finally, the optimal values of decision variables were obtained by minimizing the objective function using Multimodal Genetic Algorithm code that is developed in Matlab software programming. At the end of this paper the effects of fuel price on the optimal design parameter and exergy analysis of a gas turbine plant will be discussed

Electromagnetic vacuum circuit breaker, finite element method