Human Factors in Lighting

Boyce, P.R.

doi:10.1201/9780203426340

Cited by 325 publications

(365 citation statements)

References 71 publications

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“…Only twenty participants listed the use of computer renderings (Radiance or other computer programs) and simulations of daylight glare indices such as the Daylight Glare Index (DGI), the CIE-Unified Glare Rating (UGR), or the Guth visual comfort probability index (Boyce, 2003). A few others indicated using other calculation methods of direct reflections or reflectivity of outdoor and indoor surfaces, or reported using physical models.…”

Section: Criteria Used To Assess the Overall Quality Of A Daylightingmentioning

confidence: 99%

Current daylighting design practice: a survey

Galasiu

Reinhart

2008

Building Research & Information

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/npsi/ctrl?lang=en http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/ctrl?lang=fr Access and use of this website and the material on it are subject to the Terms and Conditions set forth at http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/jsp/nparc_cp.jsp?lang=en NRC Publications Archive Archives des publications du CNRCThis publication could be one of several versions: author's original, accepted manuscript or the publisher's version. / La version de cette publication peut être l'une des suivantes : la version prépublication de l'auteur, la version acceptée du manuscrit ou la version de l'éditeur. For the publisher's version, please access the DOI link below./ Pour consulter la version de l'éditeur, utilisez le lien DOI ci-dessous.http://dx.doi.org/10.1080/09613210701549748Building Research and Information, 36, 2, pp. 159-174, 2008-03-01 Current daylighting design practice: a survey Galasiu, A. D.; Reinhart, C. F. The responses obtained from 177 participants showed that over 90% of the practitioners surveyed support the development of a new daylighting design guide that would provide online access to both simple calculation methods as well as more advanced daylighting design tools. Survey results also showed that a variety of nonstandardized daylight prediction methods -primarily rules of thumb -are currently being used, and that there is no commonly acknowledged method of how to assess the performance and quality of a daylighting system in terms of energy savings, glare prevention, daylight factors, and view to the outside.

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Section: Criteria Used To Assess the Overall Quality Of A Daylightingmentioning

confidence: 99%

Current daylighting design practice: a survey

Galasiu

Reinhart

2008

Building Research & Information

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“…A comprehensive account of glare indexes and their limitations is detailed by [33] and [34]. The starting point for glare indexes has been luminance values and position indexes, since human vision works closer to that concept [35]. Luminance ratios have been proposed, such as 1:4 between task area and surroundings for work environments [29].…”

Section: Energy and Visual Performance Evaluation Criteria A) Energy mentioning

confidence: 99%

Considerations on design optimization criteria for windows providing low energy consumption and high visual comfort

et al. 2012

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“…A target that is larger than the minimum size is visible to the human eye only if it differs from its immediate background in luminance or color [20]. Luminance contrast can be calculated as follows: [20,26,27], and therefore it can be chosen as a minimum design goal.…”

Section: Evaluation By Luminance Contrastmentioning

confidence: 99%

Per-Pixel Lighting Data Analysis

Inanici¹

2005

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This report presents a framework for per-pixel analysis of the qualitative and quantitative aspects of luminous environments. Recognizing the need for better lighting analysis capabilities and appreciating the new measurement abilities developed within the LBNL Lighting Measurement and Simulation Toolbox, "Per-pixel Lighting Data Analysis" project demonstrates several techniques for analyzing luminance distribution patterns, luminance ratios, adaptation luminance and glare assessment. The techniques are the syntheses of the current practices in lighting design and the unique practices that can be done with per-pixel data availability. Demonstrated analysis techniques are applicable to both computer-generated and digitally captured images (physically-based renderings and High Dynamic Range photographs).

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Human Factors in Lighting

Cited by 325 publications

References 71 publications

Current daylighting design practice: a survey

Current daylighting design practice: a survey

Considerations on design optimization criteria for windows providing low energy consumption and high visual comfort

Per-Pixel Lighting Data Analysis

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