Optimized Design of Heliostat Field Based on Monte Carlo Ray Tracing Method
Reducing the energy loss of the heliostat field is the key to improve the efficiency of tower solar power generation.In this paper,the Monte Carlo ray tracing model is established to study how to optimize the layout design of the heliostat mirror field in order to improve the power generation efficiency by combining the actual situation of the tower-type power station with relevant data.Firstly,the theoretical model is used to find the local optimal solution for the annual average thermal power output per unit mirror area;secondly,the sizing parameters of the heliostats are constantly changed,and the simulated annealing algorithm is used to calculate and compare the local optimal solutions under different sizes;finally,the particle swarm optimization-based simulated annealing algorithm is used to optimize the annual average thermal power output per unit mirror area by changing the sizing of each heliostat and its mounting height,which results in the optimal layout of the solar field and the efficiency of its power generation.which maximizes the average annual thermal power output per unit mirror area.This study is of great significance in guiding the layout and design of heliostats for next-generation tower solar power plants.
tower-type photovoltaic power plantfixed-sun mirror fieldoptimal designMonte Carlo ray tracing methodsimulated annealing
万方数据
维普
