Photon Mapping To Accelerate Daylight Simulation With High-Resolution, Data-Driven Fenestration Models

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Date

2019

Authors

Grobe, Lars Oliver

Journal Title

Journal ISSN

Volume Title

Publisher

IOP Publishing Ltd.

Open Access Color

GOLD

Green Open Access

Yes

OpenAIRE Downloads

21

OpenAIRE Views

526

Publicly Funded

No
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Average
Influence
Average
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Average

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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

Keywords

Photon Map, Bidirectional Scattering Distribution Function, Data-driven modelling, Daylighting, complex fenestration, Data-driven modelling, Bidirectional Scattering Distribution Function, BSDF, daylight simulation, Photon Map, Daylighting, photon mapping, performance

Fields of Science

0211 other engineering and technologies, 02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering

Citation

WoS Q

N/A

Scopus Q

Q3
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OpenCitations Citation Count
3

Source

Journal of Physics: Conference Series

Volume

Volume 1343

Issue

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End Page

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CrossRef : 2

Scopus : 4

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Mendeley Readers : 9

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