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

Authors

  • Mona Shahbazi Department of Mechanical Engineering, University Campus2, University of Guilan, Rasht, Iran.
  • Kourosh Javaherdeh * Department of Mechanical Engineering, Faculty of Mechanical Engineering, University of Guilan, Rasht, Iran. https://orcid.org/0000-0002-1570-011X
  • Mohammad Naghashzadegan Department of Mechanical Engineering, Faculty of Mechanical Engineering, University of Guilan, Rasht, Iran. https://orcid.org/0000-0002-9540-8302

https://doi.org/10.48313/mtei.v2i3.47

Abstract

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%. 

Keywords:

Heliostat field, Optical efficiency, Thermo-economic optimization, Multiobjective gray wolf optimizer

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Published

2025-09-10

Issue

Vol. 2 No. 3 (2025): Mechanical Technology and Engineering Insights (MTEI)

Section

Articles

How to Cite

Shahbazi, M. ., Javaherdeh, K. ., & Naghashzadegan, M. . (2025). Thermo-Economic Optimization of  Heliostat Field Distribution Considering Magnitude and Aspect Ratio of Heliostat Using Multiobjective Gray Wolf Optimizer (Case Study: Tehran). Mechanical Technology and Engineering Insights, 2(3), 162-183. https://doi.org/10.48313/mtei.v2i3.47

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