Design and optimization of linear Fresnel reflector concentrating solar system using particle swarm optimization algorithms

A linear Fresnel reflector concentrating solar system (LFRCS) is modeled and optimized to obtain the maximum solar energy conversion. The concentration ratio is based on the parameters considered for design. The numerical analysis is performed on the values obtained from the formulae derived from the geometrical representation, the naturally iterative formulae are solved computationally using MATLAB and then compared with the optimization tools used. The design parameters or decision vari-ables are focal height of the absorber and diameter of absorber. The present work will help engineers reduce design time to find an optimum solution. The best optimum algorithm in PSO will give a solution that is difficult to obtain through simple modeling programs and numerical analysis. The system is designed to generate pollution free energy for the society. This research provides results on a novel Particle Swarm Optimization (PSO) aided with multitude algorithms, improvised Simple-PSO; Improvised-PSO; Modified-PSO; TACPSO (Time Varying Acceleration) and AGPSO (Autonomous Group). On optimizing the values obtained from analytical analysis, this is the first paper on a multitude of algo-rithms of (PSO) to find the optimum values of the parameters. The results obtained by PSO optimization techniques give the accurate values for the parameters considered on which the concentration ratio is maximum when compared with the theoretical, numerical analysis values. A detailed performance sur-vey is analyzed for the designed system to deliver the effectiveness of the proposed methodology.Copyright (c) 2022 Elsevier Ltd. All rights reserved.Selection and peer-review under responsibility of the scientific committee of the International Confer-ence on Thermal Analysis and Energy Systems 2021.