Thermo-economic-environmental optimization of a microturbine using genetic algorithm

Abstract

Thermo-economic-environmental optimization of a 100 kW microturbine has been numerically investigated by genetic algorithm optimization method. An objective function is defined as the sum of the total cost of the plant and the costs of environmental pollutant effects (the emission of NOx and CO gases due to fuel combustion), while the design parameters are the common important parameters of an industrial power plant cycle. The objective function is then formulated in the design parameters. Finally, the optimum values of the parameters are computed by minimizing the objective function using the genetic algorithm.