Research on optimization model based on heliostat field

Kaiwen Xu; Hui Xu; Jihui Fan

doi:10.54097/1n27zh38

Authors

Kaiwen Xu
Hui Xu
Jihui Fan

DOI:

https://doi.org/10.54097/1n27zh38

Keywords:

Heliostat Field, Monte Carlo Algorithm, HFLCAL Calculation Model, PSO-GA Hybrid Optimization Algorithm.

Abstract

Tower solar power system (SPT) is a new type of clean energy technology with low carbon and environmental protection. In this context, it is very meaningful to explore how to arrange an efficient heliostat field and set the heliostat parameters, because the improvement here can improve the average optical efficiency of the heliostat field and collect thermal energy. In this paper, under the constraint of circular layout area, the solar energy transmission model of heliostat and the comprehensive optical efficiency model of heliostat field are established by coordinate system transformation method, Monte Carlo algorithm and HFLCAL calculation model. Then, considering the optimal layout scheme of the heliostat field, the EB layout is used to establish the basic layout of the heliostat field, and the heliostat with high comprehensive optical efficiency and meeting the actual use requirements is selected by the step-by-step traversal algorithm. Subsequently, the heliostat height, heliostat width, installation height and heliostat installation height difference between adjacent areas are introduced into the optimization model as particles, and then the PSO-GA hybrid optimization algorithm is used to approximate the optimal design of the SPT system. The goal of optimizing the comprehensive optical efficiency of the heliostat field and the output thermal power per unit area of the SPT system is achieved.

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