Multi-objective optimization of ice-based thermal storage for enhanced combined cycle power plant performance under hot climate conditions

This study presents a comprehensive thermo-economic and environmental analysis of an innovative air-inlet cooling system for combined cycle power plants utilizing ice-based thermal energy storage (ITES). Designed to counteract efficiency losses in gas turbines during high-temperature periods, the system stores cooling capacity during off-peak hours and deploys it during peak demand to lower compressor inlet air temperatures. A de tailed thermodynamic model is developed and validated, followed by multi-objective optimization using genetic algorithms (GAs) to maximize exergy efficiency and minimize cost and environmental impact. The results indicate that the implementation of ITES can enhance turbine power output by up to 25% and reduce overall fuel consumption, with payback periods between 4.5 and 8 years depending on capacity. This work demonstrates the technical and economic feasibility of thermal storage integration for power augmentation in regions with high ambient temperatures.