A simplified radiosity algorithm for general urban radiation exchange

D. Robinson, Andrew Stone
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引用次数: 73

Abstract

The radiant external environment may be described by two hemispheres, above and below the horizontal plane, which are discretized into a number of patches of known solid angle. Occlusions to these patches may be combined and represented as some patch fraction for which the radiant characteristics are defined by the dominant occlusion. By solving for radiant exchanges between each surface in a scene and its associated (un)occluded patches, we have a simplified radiosity algorithm (SRA). This paper describes the application of this SRA to solve for urban scale predictions of: (i) solar radiation; (ii) interior daylight; and (iii) longwave radiation. Comparisons of solar and daylight predictions with the ray-tracing program RADIANCE show that accurate results are achieved at a computational cost several orders of magnitude lower. Practical application: This paper describes a new model for predicting external irradiance (shortwave and longwave) and internal illuminance in an accurate and very efficient way, in a single computational module. This module may be incorporated into existing software to improve the quality of predictions from single building thermal simulations as well as emerging software for urban scale predictions of integrated resource (energy, water, waste) flows, for which the model was developed.
一般城市辐射交换的简化辐射度算法
辐射外部环境可以用水平面上下两个半球来描述,这两个半球被离散成许多已知立体角的块。这些斑块的遮挡可以组合在一起,并表示为一些斑块分数,其中辐射特征由优势遮挡定义。通过求解场景中每个表面及其相关(未)遮挡斑块之间的辐射交换,我们得到了一个简化的辐射度算法(SRA)。本文描述了该SRA在解决城市尺度预测中的应用:(i)太阳辐射;(ii)室内日光;(三)长波辐射。太阳和日光预测与光线追踪程序RADIANCE的比较表明,以低几个数量级的计算成本获得了准确的结果。实际应用:本文描述了一种新的模型,可以在单个计算模块中准确而高效地预测外部辐照度(短波和长波)和内部照度。该模块可以整合到现有的软件中,以提高单个建筑热模拟的预测质量,以及用于城市规模综合资源(能源,水,废物)流预测的新兴软件,该模型就是为此开发的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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