太阳镜
光线追踪(物理)
分布均匀性
蒙特卡罗方法
分布式光线跟踪
计算机模拟
航程(航空)
半径
光学
计算机科学
理论(学习稳定性)
模拟
物理
数学
工程类
材料科学
航空航天工程
太阳能
统计
机器学习
复合材料
电气工程
计算机安全
作者
Zengqiang Liu,Xiaoxia Lin,Yuhong Zhao,Jieqing Feng
出处
期刊:Energy
[Elsevier]
日期:2023-08-01
卷期号:276: 127586-127586
被引量:2
标识
DOI:10.1016/j.energy.2023.127586
摘要
Determining appropriate simulation parameters in Monte Carlo Ray Tracing simulation, including receiver pixel size, micro-heliostat size and the number of rays, according to scene parameters, such as receiver size, heliostat size, slope error and slant range, can improve simulation accuracy while maintaining simulation efficiency. By means of simulation experiments and data fitting, the effects of simulation parameters on simulation accuracy and efficiency are studied in this paper. First, two evaluation metrics about the flux peak stability and distribution accuracy are proposed and the appropriate receiver pixel size, namely 0.1 m×0.1 m, is determined based on these metrics. Then, the optimal micro-heliostat size, namely 0.05 m×0.05 m, is determined under the condition of ensuring the flux distribution accuracy and simulation efficiency. Finally, when the flux distribution deviation converges to an acceptable value, the empirical functions between the minimum number of rays and the scene parameters are obtained for single-heliostat simulation and heliostat field simulation, respectively. The minimum number of rays is proportional to the area of the reflected ray cone base in single-heliostat simulation and is related to the cylindrical receiver radius and height in heliostat field simulation. The results are validated using practical heliostat field.
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