Daylight simulation workflows incorporating measured bidirectional scattering distribution functions

Ward, Gregory J.; Bueno, Bruno; Geisler-Moroder, David; Grobe, Lars O.; Jonsson, Jacob C.; Lee, Eleanor S.; Wang, Taoning; Rose Wilson, Helen

doi:10.1016/j.enbuild.2022.111890

Daylight simulation workflows incorporating measured bidirectional scattering distribution functions

Journal Article · Tue Jan 25 00:00:00 EST 2022 · Energy and Buildings

DOI:https://doi.org/10.1016/j.enbuild.2022.111890· OSTI ID:1885144

Ward, Gregory J. ^[1]; Bueno, Bruno ^[2]; Geisler-Moroder, David ^[3]; Grobe, Lars O. ^[4]; Jonsson, Jacob C. ^[5]; Lee, Eleanor S. ^[5]; Wang, Taoning ^[5]; Rose Wilson, Helen ^[2]

Anyhere Software, Berkeley, CA (United States)
Fraunhofer Institute for Solar Energy Systems ISE (Germany)
Bartenbach GmbH, Aldrans (Austria)
Lucerne University of Applied Sciences and Arts (HSLU) (Switzerland)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Daylight predictions of architectural spaces depend on good estimates of light transfer through skylights, windows and other fenestration systems. For clear glazing and painted surfaces, parametric transmission and reflection models have proven adequate, but there are many cases where light-scattering, semi-specular shading and daylighting materials defy simple characterization. Something as commonplace as fabric roller shades and venetian blinds may turn daylight prediction into guesswork, and numerous advanced systems on the market tuned specifically to enhance daylight are not sufficiently characterized to distinguish their performance. In this paper, we describe new tools available to handle novel and specialized fabrics, materials, and devices using data-driven modelling of bi-directional scattering distribution functions (BSDFs). These representations are usually tabulated at constant or adjustable angular resolution for efficient point-in-time and annual daylight simulations. We describe a variety of BSDF simulation workflows, including some of the tools and methods that make advanced analysis possible, and highlight some of the current challenges. We conclude with a discussion of future work and how such data might be created and shared worldwide.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: Austrian Research Promotion Agency; Fraunhofer Institute; Swiss Federal Office of Energy (SFOE); Swiss National Science Foundation (SNSF); USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1885144

Journal Information:: Energy and Buildings, Journal Name: Energy and Buildings Vol. 259; ISSN 0378-7788

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
Bidirectional scattering distribution function
Complex fenestration systems
Daylighting
Windows

Daylight simulation workflows incorporating measured bidirectional scattering distribution functions

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