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基于无遮挡优化策略的定日镜场优化设计方案

郭之灏 段睿龙 宋宇航 李明奇

实验科学与技术2025,Vol.23Issue(4):46-53,8.
实验科学与技术2025,Vol.23Issue(4):46-53,8.DOI:10.12179/1672-4550.20240082

基于无遮挡优化策略的定日镜场优化设计方案

Optimization Design of Heliostat Field Based on the Occlusion-Free Optimization Strategy

郭之灏 1段睿龙 1宋宇航 1李明奇2

作者信息

  • 1. 电子科技大学物理学院,成都 611731
  • 2. 电子科技大学数学科学学院,成都 611731
  • 折叠

摘要

Abstract

Regarding the design problem of heliostat field in the tower solar thermal power system,the corresponding efficiency calculation and parameter optimization models are established based on planar optical laws and layout strategies.Firstly,the Monte Carlo method is employed to establish computational models for shadow occlusion efficiency and truncation efficiency,thus obtaining the computational model for the optical efficiency of heliostat field.After comparing different optimization strategies for heliostat field layout,the occlusion-free layout is chosen as the optimization strategy.An optimization model for heliostat field parameters meeting the output power requirements is then proposed.The variable step size search algorithm is employed to estimate the heliostat field parameter values.Finally,based on the model calculation,the optimized heliostat field achieves an average annual optical efficiency of 63%,an average annual shadow occlusion efficiency of 94.9%,an average annual cutoff efficiency of 78.17%,and an average annual thermal output power per unit heliostat area of 0.7312 kW/m2.Compared with the performance of the heliostat field before parameter optimization,the performance is significantly improved.For instance,the average annual thermal output power after optimization is 60.2933 MW,which represents an increase of 91.57%compared to the pre-optimization level.

关键词

定日镜场/蒙特卡罗法/无遮挡布局策略/随机搜索算法

Key words

heliostat field/Monte Carlo method/occlusion-free layout strategy/random search algorithm

分类

数理科学

引用本文复制引用

郭之灏,段睿龙,宋宇航,李明奇..基于无遮挡优化策略的定日镜场优化设计方案[J].实验科学与技术,2025,23(4):46-53,8.

基金项目

四川省教改项目(JG2021-171). (JG2021-171)

实验科学与技术

1672-4550

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