Design of optimal mirror field arrangement for heliostat based on objective optimization and particle swarm algorithm

Chang Xiao; Jialong Xu; Aocheng Mou; Xuan Wang; Guanyu Han

doi:10.54097/xgvnx494

Authors

Chang Xiao
Jialong Xu
Aocheng Mou
Xuan Wang
Guanyu Han

DOI:

https://doi.org/10.54097/xgvnx494

Keywords:

Mirror field alignment, optical efficiency, cosine loss, ergodic search, particle swarm optimisation algorithm.

Abstract

In the study of tower-type solar thermal power generation technology, the size design of heliostat mirrors and the mirror field arrangement are crucial to the power generation efficiency. In order to investigate the optimal heliostat parameters and mirror field arrangement, a single-objective multivariate optimisation model is established with the rated annual average output power of 60MW as the objective function, and the heliostat size requirement and the spacing of the mirrors as the constraints. Considering that there are many variables affecting the objective function, particle swarm optimisation algorithm is used to solve the model, and then the reasonableness of the model is verified by combining the heat map of cosine efficiency distribution and the change rule of solar altitude angle. The results show that under the condition of the same size and installation height of the heliostat, the optimal width of the heliostat is 5.7m, the height is 3.5m, the total number is 1432, and the coordinates of the absorber tower is (16.9,13.3).

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