Title: Exergy-based performance optimisation of combined gas-steam power plant using hybrid approach

Authors: Umesh Kumar; Manoj Kumar Pal

Addresses: Department of Mechanical Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India ' Department of Mechanical Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India

Abstract: Improving energy efficiency and cutting losses in combined gas-steam power plants depend on their optimisation. A hybrid method of genetic algorithm (GA) and particle swarm optimisation (PSO) is used in this study to boost the performance of plants. Such a model, based on both the first and second laws of thermodynamics, simulates the main parts of a power plant, like compressors, turbines, combustion chambers and condensers. The air-to-fuel ratio (AFR), gas-to-steam ratio (GSR), pressure ratio, turbine inlet temperature (TIT), and effectiveness of heat recovery are all improved. Compared to single optimisation techniques, the results show a 23.49% rise in thermal efficiency and a 23.61% drop in exergy destruction, proving that the system works better.

Keywords: combined gas-steam power plants; CGSPPs; thermodynamic modelling; genetic algorithm; GA; particle swarm optimisation; PSO; hybrid optimisation; thermal efficiency.

DOI: 10.1504/IJEX.2025.150733

International Journal of Exergy, 2025 Vol.48 No.4, pp.293 - 307

Received: 17 Mar 2025
Accepted: 24 Jul 2025
Published online: 22 Dec 2025 *

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