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

Year 2020, Volume: 6 Issue: 2 - Issue Name: Special Issue 11: 10th Eureca Conference Taylor's University Malaysia, Subangiaya, Malaysia, 180 - 200, 30.03.2020

Moein Shamoushaki Mehdi Aliehyaei

https://doi.org/10.18186/thermal.730250

Cited By: 5

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

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