Research on Heliostat Field Optimization Based on Monte Carlo Theorem and Randomized Algorithms

Yanqi Gao; Ziqi Yang; Zixiong Yang

doi:10.54097/je17rr87

Authors

Yanqi Gao
Ziqi Yang
Zixiong Yang

DOI:

https://doi.org/10.54097/je17rr87

Keywords:

Geometric Optics, Heliostat Field Efficiency Model, Intelligent Optimization Algorithms, Conical Light Beam, Ray Tracing Method.

Abstract

The text discusses a mathematical model established for calculating the optical efficiency of heliostat fields in solar power systems. It's grounded in geometric optics algorithms and considers factors affecting the field's optical efficiency. Each heliostat and the ground have independent coordinate systems for assessing whether light is blocked. The Monte Carlo method is utilized to determine the proportion of blocked light in reflected rays. This approach accommodates the conical nature of solar radiation, enhancing accuracy by transitioning from parallel to conical light representation. The results indicate an annual average optical efficiency of 0.5084 for the heliostat field, an annual average thermal power output of 30.879 MW, and 0.4915 kW/m² as the annual average thermal power output per unit mirror area.

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