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Academic Journal of Computing & Information Science, 2023, 6(11); doi: 10.25236/AJCIS.2023.061119.

Optimization Design Study of Heliostat Field Based on Particle Swarm Algorithm

Author(s)

Kaiduo Wen

Corresponding Author:
Kaiduo Wen
Affiliation(s)

Emergency Management College, Nanjing University of Information Science and Technology, Nanjing, China

Abstract

This paper focuses on the in-depth study of the layout of the heliostat and absorption tower in tower solar thermal power generation. Preliminary optical efficiency calculations are carried out using the solar position model and the reflected light model. Firstly, the solar azimuth angle and solar altitude angle at a specific moment are clarified. Secondly, the reflection of solar rays in the mirror field and its interaction with the absorber tower are simulated. Finally, the layout of heliostat mirrors is optimized by the particle swarm algorithm, and the key layout parameters are obtained.

Keywords

Tower Solar, Heliostat Layout, Optical Efficiency, Particle Swarm Algorithm, Light Simulation

Cite This Paper

Kaiduo Wen. Optimization Design Study of Heliostat Field Based on Particle Swarm Algorithm. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 11: 151-158. https://doi.org/10.25236/AJCIS.2023.061119.

References

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