Open Access
Journal Article
Heliostat distribution optimization model based on simulated annealing algorithm
by
Junjie Chen
, Jinyuan Zhao
, Jin Peng
, Qiancheng Chen
and
Jinnan Huang
Abstract
In order to solve the problem of calculating the efficiency of the heliostat distribution, based on the knowledge of physics and astronomy, this paper establishes a variety of physical parameter calculation models, comprehensively considers the relevant data and constraints of the heliostat field, solves and calculates the parameters of the heliostat field, and calculates the o
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In order to solve the problem of calculating the efficiency of the heliostat distribution, based on the knowledge of physics and astronomy, this paper establishes a variety of physical parameter calculation models, comprehensively considers the relevant data and constraints of the heliostat field, solves and calculates the parameters of the heliostat field, and calculates the optical efficiency and output thermal power of the heliostat according to the relevant calculation formulas. In order to optimize the design of heliostat field, the optimal results of each parameter of heliostat field are obtained through multiple iterative calculations and comparative analysis by using the simulated annealing algorithm, which realizes the optimization of the heliostat field and ensures the highly efficient performance of the heliostat field.