OPTIMIZATION OF GAS TURBINE POWER PLANT BY EVOLOUTIONARY ALGORITHM; CONSIDERING EXERGY, ECONOMIC AND ENVIRONMENTAL ASPECTS

Authors : Moein Shamoushaki, Mehdi Aliehyaei

Pages : 180-200

Doi:10.18186/thermal.730250

View : 10 | Download : 6

Publication Date : 2020-03-30

Article Type : Research

Abstract :In this paper the exergy, economic and environmental analysis of Aliabad Katoul power plant as well as its multiobjective optimization have been done by NSGA-II algorithm. Two objective functions have been considered. The first objective function is the total cost rate and the second objective function is environmental impact cost. Optimization of objective functions has been done in two modes namely cycle with and without air preheater. The results showed that the existence of air preheater reduces both objective functions. So that in optimum point, for cycle without air preheater, the amount of total cost rate has been about 30% and environmental cost rate was about 33% higher than cycle with air preheater. Also, sensitive analysis of objective functions to fuel unit cost was conducted. At the lower environmental cost rate that the total cost rate was higher, sensitivity of Pareto solutions to the fuel unit cost was more than some parts of figure with smaller total cost rate. Also, exergy losses of various components were obtained that conclusions illustrated that combustion chamber has the maximum rate of exergy destruction (about 73%). Impact of ambient temperature variation on exergy losses and efficiency for different components was studied. The conclusions illustrated that with growing in ambient temperature, exergy efficiency of all parts decreased and exergy losses increased. Also, by rising the ambient temperature, exergy efficiency decreased, so that an increase in temperature from 293 Kelvin to 323 Kelvin, total exergy efficiency decreased from about 51% to 49%.
Keywords : Gas Turbine, Exergy, Sensitive, Environmental, NSGA-II