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Academic Journal of Engineering and Technology Science, 2024, 7(4); doi: 10.25236/AJETS.2024.070404.

Optimisation of heliostat layout based on BFS and genetic algorithm


Zhengfang Yu, Zihang Wu, Chaoyi Hu

Corresponding Author:
Chaoyi Hu

College of Intelligent Engineering, Hubei Enshi College, Enshi, 445000, China


At present, the efficiency of power generation by a solar field with a radiation tower is not as good as that of a butterfly-shaped solar field. This paper aims to improve the conversion efficiency of solar thermal power generation by a radiation tower solar field. To this end, this paper proposes to use genetic algorithms and BFS to optimise the layout of the heliostat field, thereby improving the optical efficiency of solar thermal power generation by a radiation tower. The experimental results show that this method can effectively improve the average optical efficiency. This study provides a valuable reference for the design of solar thermal power generation systems.


Genetic algorithm, optical efficiency, solar thermal power generation, breadth-first search

Cite This Paper

Zhengfang Yu, Zihang Wu, Chaoyi Hu. Optimisation of heliostat layout based on BFS and genetic algorithm. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 4: 17-24. https://doi.org/10.25236/AJETS.2024.070404.


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