Characterization and Data-Driven Modeling of a Retro-Reflective Coating in Radiance

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Date

Authors

Grobe, Lars Oliver

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HYBRID

Green Open Access

Yes

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16

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430

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No
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Top 10%
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Average
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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.

Description

Keywords

Complex fenestration, Daylight simulation, Radiance, Bidirectional Scatter Distribution Function, Retro reflection, Retro-reflection, Daylight simulation, Bidirectional Scatter Distribution Function, Radiance, Complex fenestration, Data-driven model, BSDF, Glare, Retro reflection, Shading

Fields of Science

0211 other engineering and technologies, 02 engineering and technology, 01 natural sciences, 0103 physical sciences

Citation

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

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OpenCitations Citation Count
14

Volume

162

Issue

Start Page

121

End Page

133
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Scopus : 15

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Mendeley Readers : 31

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