Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/6661
Title: | Characterization and data-driven modeling of a retro-reflective coating in RADIANCE | Authors: | Grobe, Lars Oliver | Keywords: | Complex fenestration Daylight simulation Radiance Bidirectional Scatter Distribution Function Retro reflection |
Publisher: | Elsevier Ltd. | Source: | Grobe, L. O. (2018). Characterization and data-driven modeling of a retro-reflective coating in RADIANCE. Energy and Buildings, 162, 121-133. doi:10.1016/j.enbuild.2017.12.029 | Abstract: | Retro-reflective coatings applied to blinds of reduced geometric complexity promise to provide view to the outside while effectively controlling solar gains and glare. To characterize the reflection characteristics of such coatings over the entire solar spectrum, a novel extension to a scanning gonio-photometer is developed. The extended instrument is tested and applied to measure a coating's Bidirectional Reflection Distribution Function including the region of the retro-reflected peak. The measured datasets are compiled into a data-driven reflection model for the daylight simulation software RADIANCE. This model is applied to illustrate the coating's effect in a comparison to purely diffuse and specular surface finishes on geometrically identical, flat blinds. Daylight supply, the probability of glare, and solar gains are assessed for an exemplary, South-oriented office under sunny sky conditions. The results indicate the potential of the coating to effectively shade direct sunlight even if applied on blinds with minimalistic geometries. The modeling technique is shown to be a general means to replicate the irregular optical properties of the coating, which cannot be represented by the standard models in daylight simulation software. | URI: | http://doi.org/10.1016/j.enbuild.2017.12.029 http://hdl.handle.net/11147/6661 |
ISSN: | 0378-7788 0378-7788 |
Appears in Collections: | Architecture / Mimarlık Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
13
checked on Nov 15, 2024
WEB OF SCIENCETM
Citations
10
checked on Nov 16, 2024
Page view(s)
302
checked on Nov 18, 2024
Download(s)
194
checked on Nov 18, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.