| Issue |
E3S Web Conf.
Volume 573, 2024
2024 International Conference on Sustainable Development and Energy Resources (SDER 2024)
|
|
|---|---|---|
| Article Number | 03012 | |
| Number of page(s) | 4 | |
| Section | Sustainable Development and Electricity Market Research | |
| DOI | https://doi.org/10.1051/e3sconf/202457303012 | |
| Published online | 30 September 2024 | |
Layout optimization of heliostat field based on genetic algorithm
1 School of Automation, Xi'an University of Posts and Telecommunications, Xi'an 710121, China
2 School of Science, Xi'an University of Posts and Telecommunications, Xi'an 710121, China
* Corresponding author: liuyuan_2024@163.com
In order to improve the annual average optical efficiency of a tower solar power plant, a simulated heliostat field layout optimization model is constructed using ray tracing method to calculate the shadow shading efficiency. is constructed using ray tracing method to calculate the shadow shading efficiency. Genetic algorithms are used to encode the variables such as solar pitch angle, solar azimuth angle, and coordinates of heliostat mirrors in chromosomal individuals in binary regions, and to find the near-optimal solutions in iterative populations through the use of ray tracing method. Simulation results show that the model can significantly optimize the layout of the tower solar power system. Simulation results show that the model can significantly optimize the layout of the tower solar power plant and improve the annual average optical efficiency. neighboring heliostats is at 0.398 times the sum of the length and width, the optical efficiency of the Khi Solar One power plant reaches 61.83%, which is an improvement of 15.74% compared to that of the Khi Solar One power plant. improvement of 15.74% compared to this engineering example.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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