Efficient Simulation for Visual Comfort Evaluations

This paper provides a validation of novel sampling, storage, and evaluation method named raytraverse that can quickly accurately compute glare visual comfort metrics including vertical illuminance ( E v ), Daylight Glare Probability (DGP), Unified (UGP). The motivation is to provide path towards understanding the spatial temporal distribution daylight conditions in an architectural space. Current simulation workflows are constrained by trade-offs between time, accuracy, generality, storage requirements. Raytraverse bridge sensor calculations, which fast calculate but limited information, high-resolution image generation, more information have long times. To make this bridging possible, it relies on pair strategies yields both high accuracy data. First, iteratively guided sampling approach based discrete wavelet transformation greatly reduces number view rays submitted renderer. Second, rather than collecting returned values raster or dense matrix, data structure used sparsely store re-weight samples according their effective solid angle, allowing for direct integration any lighting metric synthesis interpretable dynamic range images (HDRi). These be coupled with existing rendering climate modeling (CBDM) methods. Through comparison high-quality reference simulations best practice CBDM Radiance , methods shown significantly reduce time needed simulate saturation, contrast, combined complete set annual hourly sky from locations within office floor plan. stored re-analyzed different directions, images, conditions.