Research on the Optimal Design of Heliostat Field Based on Simulated Annealing Algorithm

Authors

  • Shanwei Nan

DOI:

https://doi.org/10.54097/0d2dhc78

Keywords:

Fixed-heaven mirror field, optical efficiency, simulated annealing algorithm, thermal power.

Abstract

This paper focuses on the optimized design of the heliostat field in depth. First, the spatial relationship between the sun and the heliostat mirror field is determined by calculating the sun's declination, altitude, and azimuth angles, as well as the normal direct radiation irradiance (DNI). Second, the shadow obscuration area and the annual average optical efficiency of each mirror were determined by vector differentiation and mechanistic analysis, combined with Monte Carlo methods. Finally, optimization calculations were performed using a simulated annealing algorithm to derive the optimal values of each decision variable and the corresponding annual average output thermal power.

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References

Zhang Ligong. Research on the power scheme of heliostat in tower solar thermal power plant [J]. Solar Energy, 2019(11): 48-52.

Zhang Xiaodong,Niu Haiming. Calculation model and simulation analysis of mirror field efficiency of trough-type photovoltaic power plant [J]. Distributed Energy, 2020,5(05): 56-63. DOI:10.16513/j.2096-2185.DE.2006010.

Sun H, Gao B, Liu JX. Study on the layout of fixed-sun mirror field for tower solar power plant [J]. Power Generation Technology, 2021, 42(06): 690-698.

Zhang, M.L. "Improved Algorithm for Shadow and Shading Efficiency of Tower Solar Heliostat Field." Proceedings of the Journal of Solar Energy, 2016, no. 8, pp. 1998-2003.

LI Hongbo, FENG Guosheng, ZHU Jing et al. Thermal layout optimization of power elements based on simulated annealing algorithm [J]. Electrotechnology, 2023(13): 13-16. DOI: 10.19768/j.cnki.dgjs. 2023.13.004.

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Published

15-12-2023

How to Cite

Nan, S. (2023). Research on the Optimal Design of Heliostat Field Based on Simulated Annealing Algorithm. Highlights in Science, Engineering and Technology, 72, 1084-1091. https://doi.org/10.54097/0d2dhc78