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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Format: | Article |
Language: | English |
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SolarLits
2021-12-01
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Series: | Journal of Daylighting |
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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. |
first_indexed | 2024-12-20T13:41:45Z |
format | Article |
id | doaj.art-b021855dadcc46ce9508e0ebf3ea883b |
institution | Directory Open Access Journal |
issn | 2383-8701 |
language | English |
last_indexed | 2024-12-20T13:41:45Z |
publishDate | 2021-12-01 |
publisher | SolarLits |
record_format | Article |
series | Journal of Daylighting |
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 |
work_keys_str_mv | AT juanmanuelmonteoliva comparativeinvestigationofdaylightglareprobabilitydgpcomfortclassesinclearskycondition AT julietaayamingarreton comparativeinvestigationofdaylightglareprobabilitydgpcomfortclassesinclearskycondition AT andreaepattini comparativeinvestigationofdaylightglareprobabilitydgpcomfortclassesinclearskycondition |