Universiti Teknologi Malaysia Institutional Repository

Modeling and multi-objective exergy based optimization of a combined cycle power plant using a genetic algorithm

Kaviri, Abdolsaeid Ganjeh and Mohd.Jaafar, Mohammad Nazri and Mat Lazim, Tholudin (2012) Modeling and multi-objective exergy based optimization of a combined cycle power plant using a genetic algorithm. Energy Conversion And Management, 58 . pp. 94-103. ISSN 0196-8904

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1016/j.enconman.2012.01.002

Abstract

In this study, a comprehensive thermodynamic modeling of a dual pressure combined cycle power plant is modeled. Also, to ensure the developed code, results are compared with an actual data taken from one of the Iranian power plant. The combined cycle power plant is equipped with a duct burner. In second part, by considering number of decision variables, the objective function is optimized. To have a better understanding and optimal design of the system, an optimization is performed. In our multi-objective optimization, first objective function comprises a set of component costs, the fuel cost injected into the combustion chamber, duct burner cost and the cost of exergy destruction. Second objective function is cycle exergy efficiency. Therefore, multi-objective optimization of this cycle is carried out using a computer simulation code written by using the genetic algorithm approach. Finally, the effect of cycle key parameters on these two objective functions is investigated. The results show that gas turbine temperature, compressor pressure ratio and pinch point temperatures are significant design parameters. It means that any changes in these design parameters lead to a drastic change in objective functions.

Item Type:Article
Uncontrolled Keywords:combined cycle power plant, heat recovery boiler, genetic algorithm
Subjects:Q Science > QC Physics
Divisions:Mechanical Engineering
ID Code:47225
Deposited By: Narimah Nawil
Deposited On:22 Jun 2015 13:55
Last Modified:31 Mar 2019 16:34

Repository Staff Only: item control page