Meta-Heuristic Optimization for Enhancing the Thermal Performance of Solar Energy Devices

Abstract

This chapter examines the application of meta-heuristic optimization in boosting the thermal performance of solar energy systems. The analysis sheds light on the short- and long-term benefits of meta-heuristic algorithms by utilizing performance metrics, energy efficiency metrics, and reliability assessment. Performance Metrics imply higher energy output and efficient temperature regulation, demonstrating the algorithm's competence in overcoming complex architectural conditions. Energy Efficiency metrics reflect greater exploitation of solar energy resources, signaling a huge step towards sustainability. The different conclusions from Reliability Assessment illustrate the adaptability of meta-heuristic optimization, underlining both problems and accomplishments in stability and consistency across time.