Comparative Investigation of Daylight Glare Probability (DGP) Comfort Classes in Clear Sky Condition

Glare is considered one of the most important variables to reach visual comfort and visual quality. It represents one of the fundamental barriers for an effective use of daylighting in buildings. One of the best performing and robust glare prediction models, relative to other available metrics, is a...

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Main Authors: Juan Manuel Monteoliva, Julieta A. Yamín Garretón, Andrea E. Pattini
Format: Article
Language:English
Published: SolarLits 2021-12-01
Series:Journal of Daylighting
Subjects:
Online Access:https://solarlits.com/jd/8-284
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author Juan Manuel Monteoliva
Julieta A. Yamín Garretón
Andrea E. Pattini
author_facet Juan Manuel Monteoliva
Julieta A. Yamín Garretón
Andrea E. Pattini
author_sort Juan Manuel Monteoliva
collection DOAJ
description Glare is considered one of the most important variables to reach visual comfort and visual quality. It represents one of the fundamental barriers for an effective use of daylighting in buildings. One of the best performing and robust glare prediction models, relative to other available metrics, is a Daylight Glare Probability (DGP). Based on a validated and precise methodology (RADIANCE) the aim of this work is to compare the DGP model (original cut-off values) with new cut-off values that differ according to the time of day (morning, noon and afternoon). Both cut-off values were compared at more than 300 simulated conditions of daylighting in an interior space. This work offers the originality of studying recently proposed cut-off values in climate luminous with predominant clear sky conditions. Currently, the application of these new cutoff values is reduced to the field of science or simulation professionals. The results showed important differences (64.86%) between the categories proposed by both cut-off values. Nevertheless, these differences do not have a significant impact in glare prediction (< 2.7%), in terms of glare absence (DGP <0.38) and presence (DGP >0.38). This analysis made it possible: (i) to regionally apply the main current corpus criteria regarding glare issues as well as emergent proposals and (ii) to present new experimental data aimed at helping the field and, together with other works, improving the tools used by professionals on a daily basis.
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spelling doaj.art-b021855dadcc46ce9508e0ebf3ea883b2022-12-21T19:38:47ZengSolarLitsJournal of Daylighting2383-87012021-12-018228429310.15627/jd.2021.22Comparative Investigation of Daylight Glare Probability (DGP) Comfort Classes in Clear Sky ConditionJuan Manuel Monteoliva0Julieta A. Yamín Garretón1Andrea E. Pattini2INAHE, CONICET, Av. Ruiz Lean s/n Parque Gral. San Martín, CP 5500, Mendoza, ArgentinaINAHE, CONICET, Av. Ruiz Lean s/n Parque Gral. San Martín, CP 5500, Mendoza, ArgentinaINAHE, CONICET, Av. Ruiz Lean s/n Parque Gral. San Martín, CP 5500, Mendoza, ArgentinaGlare is considered one of the most important variables to reach visual comfort and visual quality. It represents one of the fundamental barriers for an effective use of daylighting in buildings. One of the best performing and robust glare prediction models, relative to other available metrics, is a Daylight Glare Probability (DGP). Based on a validated and precise methodology (RADIANCE) the aim of this work is to compare the DGP model (original cut-off values) with new cut-off values that differ according to the time of day (morning, noon and afternoon). Both cut-off values were compared at more than 300 simulated conditions of daylighting in an interior space. This work offers the originality of studying recently proposed cut-off values in climate luminous with predominant clear sky conditions. Currently, the application of these new cutoff values is reduced to the field of science or simulation professionals. The results showed important differences (64.86%) between the categories proposed by both cut-off values. Nevertheless, these differences do not have a significant impact in glare prediction (< 2.7%), in terms of glare absence (DGP <0.38) and presence (DGP >0.38). This analysis made it possible: (i) to regionally apply the main current corpus criteria regarding glare issues as well as emergent proposals and (ii) to present new experimental data aimed at helping the field and, together with other works, improving the tools used by professionals on a daily basis.https://solarlits.com/jd/8-284dgpdaylightclear skyglare
spellingShingle Juan Manuel Monteoliva
Julieta A. Yamín Garretón
Andrea E. Pattini
Comparative Investigation of Daylight Glare Probability (DGP) Comfort Classes in Clear Sky Condition
Journal of Daylighting
dgp
daylight
clear sky
glare
title Comparative Investigation of Daylight Glare Probability (DGP) Comfort Classes in Clear Sky Condition
title_full Comparative Investigation of Daylight Glare Probability (DGP) Comfort Classes in Clear Sky Condition
title_fullStr Comparative Investigation of Daylight Glare Probability (DGP) Comfort Classes in Clear Sky Condition
title_full_unstemmed Comparative Investigation of Daylight Glare Probability (DGP) Comfort Classes in Clear Sky Condition
title_short Comparative Investigation of Daylight Glare Probability (DGP) Comfort Classes in Clear Sky Condition
title_sort comparative investigation of daylight glare probability dgp comfort classes in clear sky condition
topic dgp
daylight
clear sky
glare
url https://solarlits.com/jd/8-284
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AT julietaayamingarreton comparativeinvestigationofdaylightglareprobabilitydgpcomfortclassesinclearskycondition
AT andreaepattini comparativeinvestigationofdaylightglareprobabilitydgpcomfortclassesinclearskycondition