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Diverging polygon-based modeling (DPBM) of concentrated solar flux distributions

机译:集中太阳通量分布的基于多边形的发散建模(DPBM)

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This paper presents an efficient and robust methodology for modeling concentrated solar flux distributions. Compared to ray tracing methods, which provide high accuracy but can be computationally intensive, this approach makes a number of simplifying assumptions in order to reduce complexity by modeling incident and reflected flux as a series of simple geometric diverging polygons, then applying shading and blocking effects. A reduction in processing time (as compared to ray tracing) allows for evaluating and visualizing numerous combinations of engineering and operational variables (easily exceeding 106 unique iterations) to ascertain instantaneous, transient, and annual system performance. The method is demonstrated on a linear Fresnel reflector array and a number of variable iteration examples presented. While some precision is sacrificed for computational speed, flux distributions were compared to ray tracing (SolTrace) and average concentration ratio generally found to agree within similar to 3%. This method presents a quick and very flexible coarse adjust method for concentrated solar power (CSP) field design, and can be used to both rapidly gain an understanding of system performance as well as to narrow variable constraint windows for follow-on high accuracy system optimization. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文提出了一种高效而强大的方法来对集中的太阳通量分布进行建模。与提供高精度但可能需要大量计算的光线跟踪方法相比,此方法进行了许多简化的假设,以便通过将入射和反射通量建模为一系列简单的几何发散多边形,然后应用阴影和遮挡效果来降低复杂性。减少处理时间(与射线追踪相比)可以评估和可视化工程和操作变量的多种组合(轻松超过106个唯一的迭代),从而确定瞬时,瞬态和年度系统性能。在线性菲涅尔反射镜阵列上演示了该方法,并给出了许多可变迭代示例。尽管牺牲了一些精度来提高计算速度,但将通量分布与光线跟踪(SolTrace)进行了比较,发现平均浓度比通常在约3%的范围内一致。此方法为集中式太阳能(CSP)现场设计提供了一种快速且非常灵活的粗调方法,可用于快速了解系统性能以及缩小可变约束窗口以进行后续的高精度系统优化。 (C)2015 Elsevier Ltd.保留所有权利。

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