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基于Campo布置的定日镜场分布应用研究
Application Research of Heliostat Field Distribution Based on Campo Arrangement

DOI: 10.12677/se.2024.142002, PP. 21-39

Keywords: Campo布置,定日镜场,光线追迹法,网格化算法
Campo Arrangement
, Heliostatic Field, Ray Tracing Method, Meshing Algorithm

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Abstract:

定日镜场子系统与塔式太阳能热发电系统的综合性能紧密相连,它是塔式太阳能热发电站中的核心子系统之一。由于定日镜场包含大量的定日镜,并且在电站建设完成后,定日镜的安置位置无法更改,所以对定日镜场的初始布局规划显得格外关键。传统的定日镜布局方式未能有效地控制发生定日镜场的能量损失。本文运用Campo布置模型,建立了基于动态规划、Camop布置和光学追迹的定日镜布置模型,计算单位镜面面积年平均输出热功率,并与传统的放射状栅格法布置下单位镜面面积年平均输出热功率进行对比。研究结果表明:当定日镜场在年平均输出热功率固定的情况下,Campo布置相较于传统的放射状栅格法布置,单位镜面面积年平均输出热功率提升了20.52%,并且极大优化了土地的使用效率。
The heliostat field subsystem is closely related to the comprehensive performance of the tower solar thermal power system, and it is one of the core subsystems in the tower solar thermal power station. Since the heliostat field contains a large number of heliostats, and the position of the heliostat cannot be changed after the completion of the power plant construction, the initial layout planning of the heliostat field is particularly critical. The traditional heliostat layout cannot control the energy loss of heliostat field effectively. In this paper, Campo arrangement model is used to establish a heliostatic arrangement model based on dynamic programming, Camop arrangement and optical tracking, and the annual average output thermal power per unit mirror area is calculated, and compared with the traditional radial grid arrangement. The research results show that when the heliostatic field is fixed at the average annual thermal output power, the average annual thermal output power per unit mirror area is increased by 20.52% compared with the traditional radial grid arrangement, and the land use efficiency is greatly optimized.

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