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

OpenCitations Citation Count
3
Source
Journal of Physics: Conference Series
Volume
Volume 1343
Issue
Start Page
End Page
PlumX Metrics
Citations
CrossRef : 2
Scopus : 4
Captures
Mendeley Readers : 9
Google Scholar™


