Rea Press null Rea Press3042-13573042-1357 Rea Press https://doi.org/10.48313/mtei.v2i3.47 Research Article Heliostat field, Optical efficiency, Thermo-economic optimization, Multiobjective gray wolf optimizer Thermo-Economic Optimization of Heliostat Field Distribution Considering Magnitude and Aspect Ratio of Heliostat Using Multiobjective Gray Wolf Optimizer (Case Study: Tehran)Thermo-Economic Optimization of Heliostat Field Distribution Considering Magnitude and Aspect Ratio of Heliostat Using Multiobjective Gray Wolf Optimizer (Case Study: Tehran) Shahbazi Mona Department of Mechanical Engineering, University Campus2, University of Guilan, Rasht, Iran. Javaherdeh Kourosh Department of Mechanical Engineering, Faculty of Mechanical Engineering, University of Guilan, Rasht, Iran. Naghashzadegan Mohammad Department of Mechanical Engineering, Faculty of Mechanical Engineering, University of Guilan, Rasht, Iran. 09 2025 10 09 2025 2 3 © 2025 Rea Press 2025

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 Thermo-Economic Optimization of Heliostat Field Distribution Considering Magnitude and Aspect Ratio of Heliostat Using Multiobjective Gray Wolf Optimizer (Case Study: Tehran)

This study aims to investigate the effect of heliostat geometry on the performance of a heliostat field. Rectangular reflectors, as a prevalent type of heliostats, were surveyed. The heliostat's aspect ratio significantly affects the shading and blocking factors, ultimately altering the optical efficiency of the heliostat field. The Multiobjective Gray Wolf Optimizer (MOGWO) is used to design a heliostat field composed of heliostats with optimal aspect ratios. The goal is to achieve maximum optical efficiency with the lowest Levelised Cost Of Energy (LCOE). The results indicate that optimizing the heliostat aspect ratio alone increases optical efficiency by 5.2%. However, the simultaneous optimization of the reflectors and the heliostat field can improve optical efficiency by 11%.

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