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An optimized Monte Carlo ray tracing optical simulation model and its applications to line-focus concentrating solar collectors

机译:优化的蒙特卡洛射线追踪光学仿真模型及其在线聚焦聚光集热器中的应用

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摘要

The Monte Carlo Ray Tracing (MCRT) method has been confirmed flexible and efficient in the optical simulation of Concentrating Solar Collectors (CSCs), but it usually needs higher computing cost and longer runtime or its results fluctuate in multiple runs. The parameters of the way of random number generation, the number of rays, running times, grid numbers, and random number generation times all exerted effects on the simulation results. It was found that running the MCRT model with less number of rays for several more times could mitigate the fluctuation of results and decrease the total runtime simultaneously. Taken the Line-focus CSC with a metal-glass receiver and a parabolic reflector as an example, the maximum (e(max)) and average (e(avg)) relative errors of the MCRT method with 1 x 10(8) rays running for once, 2 x 10(7) rays running for once and 3 x 10(6) rays running for five times were all lower than the threshold values (E-max = 5% and E-avg = 0.5%), but the total runtime was about 410 s, 82 s and 63 s respectively. On these bases, an optimized MCRT model was proposed by combining the MCRT method with the iteration method, where the minimum running times (t(min)) and the maximum running times (t(max)) were introduced, and they could be changed conveniently to meet the requirements of different optical simulations. By applying the proposed model to the Line-focus CSC with a more complex cavity receiver or compound parabolic reflector, the total runtime varied in the range of 268-413 s and 26-102 min respectively, indicating that the runtime reduction was significant when the limit of relative errors were acceptable. The proposed model is beneficial to mitigate the fluctuation, improve the accuracy and reduce the runtime of the MCRT method. It can also be further used to the optical simulation of various kinds of CSCs.
机译:蒙特卡洛射线追踪(MCRT)方法在聚光太阳能集热器(CSC)的光学仿真中已经被证明是灵活而高效的,但是它通常需要更高的计算成本和更长的运行时间,或者其结果会在多次运行中波动。随机数生成方式,射线数,运行时间,网格数和随机数生成时间等参数均对仿真结果产生影响。结果发现,使用更少的射线数量多次运行MCRT模型可以减轻结果的波动并同时减少总运行时间。以带有金属玻璃接收器和抛物面反射器的线聚焦CSC为例,使用1 x 10(8)射线的MCRT方法的最大(e(max))和平均(e(avg))相对误差连续运行一次,连续运行2 x 10(7)射线,连续运行5次3 x 10(6)射线均低于阈值(E-max = 5%,E-avg = 0.5%),但是总运行时间分别约为410 s,82 s和63 s。在此基础上,通过将MCRT方法与迭代方法相结合,提出了一种优化的MCRT模型,引入了最小运行时间(t(min))和最大运行时间(t(max)),并可以对其进行更改。方便地满足不同光学模拟的要求。通过将所提出的模型应用于具有更复杂的腔体接收器或复合抛物面反射器的线聚焦CSC,总运行时间分别在268-413 s和26-102 min的范围内变化,指示当相对误差的限制是可以接受的。所提出的模型有利于减轻波动,提高准确性并减少MCRT方法的运行时间。它也可以进一步用于各种CSC的光学仿真。

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