Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/7500
Title: Photon mapping to accelerate daylight simulation with high-resolution, data-driven fenestration models
Authors: Grobe, Lars Oliver
Keywords: Photon Map
Bidirectional Scattering Distribution Function
Data-driven modelling
Daylighting
Issue Date: 2019
Publisher: IOP Publishing Ltd.
Abstract: Data-driven modelling provides a general means to represent optically complex fenestration in daylight simulation by its Bidirectional Scattering Distribution Function (BSDF). Radiance employs the tensor tree as a compact data structure to store the BSDF at high directional resolution. The application of such models under sunny sky conditions is, however, computationally demanding, since the density of stochastic backward samples must match the BSDF resolution. The bidirectional Photon Map is proposed to rapidly forward-sample the BSDF, starting from the known sun direction. Its exemplary application shows a potential speed-up of ≥ 98% when compared to backward ray-tracing.
Description: CISBAT 2019: Climate Resilient Cities – Energy Efficiency & Renewables in the Digital Era 4–6 September 2019, EPFL Lausanne, Switzerland
URI: http://doi.org/10.1088/1742-6596/1343/1/012154
https://hdl.handle.net/11147/7500
ISSN: 1742-6588
1742-6596
Appears in Collections:Architecture / Mimarlık
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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