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A simplified radiosity algorithm for general urban radiation exchange

机译:用于一般城市辐射交换的简化辐射度算法

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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.
机译:辐射的外部环境可以由水平面上方和下方的两个半球描述,它们被离散为多个已知立体角的面片。这些贴片的遮挡物可以组合起来并表示为某个贴片部分,其辐射特性由主要遮挡物定义。通过解决场景中每个表面与其关联的(未)遮挡补丁之间的辐射交换,我们有了简化的辐射度算法(SRA)。本文描述了该SRA在求解城市规模预测方面的应用:(ⅰ)太阳辐射; (ⅱ)室内日光; (ⅲ)长波辐射。将太阳和日光预测与射线追踪程序RADIANCE进行比较,可以得出准确的结果,而计算成本要低几个数量级。实际应用:本文介绍了一种在单个计算模块中以准确,非常有效的方式预测外部辐照度(短波和长波)和内部照度的新模型。该模块可以并入现有软件中,以提高单栋建筑热模拟的预测质量,还可以将其用于模型开发的用于综合资源(能源,水,废物)流量的城市规模预测的新兴软件。

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