Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Journal of daylighting 2021-12, Vol.8 (2), p.284-293
Main Authors: Monteoliva, Juan Manuel, Garretón, Julieta A. Yamín, Pattini, Andrea E.
Format: Article
Language:English
Subjects:
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c2512-235254cf677db6cd8e95bf8f3c57594b1aed0030fd583822766cd021c88133563
cites
container_end_page 293
container_issue 2
container_start_page 284
container_title Journal of daylighting
container_volume 8
creator Monteoliva, Juan Manuel
Garretón, Julieta A. Yamín
Pattini, Andrea E.
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). 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.
doi_str_mv 10.15627/jd.2021.22
format article
fullrecord <record><control><sourceid>doaj_cross</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_b021855dadcc46ce9508e0ebf3ea883b</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_b021855dadcc46ce9508e0ebf3ea883b</doaj_id><sourcerecordid>oai_doaj_org_article_b021855dadcc46ce9508e0ebf3ea883b</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2512-235254cf677db6cd8e95bf8f3c57594b1aed0030fd583822766cd021c88133563</originalsourceid><addsrcrecordid>eNpNkMtKAzEUhoMoWGpXvkCWikzNpZnJLKXVWihYUNch15pxOinJUJi3N21FXJ3_3L7D-QG4xWiKWUmqx8ZMCSJ4SsgFGBHKacErhC__6WswSalBCOGqpojUI2DmYbeXUfb-YOGqO9jU-23OQgeDgws5tH771cNlK6OFmxiUVL71_QDvFsvNPczbLsQezluZkk3Qd1laGeH795CbnfFH1A24crJNdvIbx-Dz5flj_lqs35ar-dO60IRhUhDKCJtpV1aVUaU23NZMOe6oZhWrZwpLaxCiyBnGKSekKvNQflhzjillJR2D1ZlrgmzEPvqdjIMI0otTIcStkLH3urVC5T3OmJFG61mp8yXELbLKUSs5pyqzHs4sHUNK0bo_Hkbi5LdojDj6LQihP5awcfc</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Comparative Investigation of Daylight Glare Probability (DGP) Comfort Classes in Clear Sky Condition</title><source>DOAJ Directory of Open Access Journals</source><creator>Monteoliva, Juan Manuel ; Garretón, Julieta A. Yamín ; Pattini, Andrea E.</creator><creatorcontrib>Monteoliva, Juan Manuel ; Garretón, Julieta A. Yamín ; Pattini, Andrea E. ; INAHE, CONICET, Av. Ruiz Lean s/n Parque Gral. San Martín, CP 5500, Mendoza, Argentina</creatorcontrib><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 (&lt; 2.7%), in terms of glare absence (DGP &lt;0.38) and presence (DGP &gt;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.</description><identifier>ISSN: 2383-8701</identifier><identifier>EISSN: 2383-8701</identifier><identifier>DOI: 10.15627/jd.2021.22</identifier><language>eng</language><publisher>SolarLits</publisher><subject>clear sky ; daylight ; dgp ; glare</subject><ispartof>Journal of daylighting, 2021-12, Vol.8 (2), p.284-293</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2512-235254cf677db6cd8e95bf8f3c57594b1aed0030fd583822766cd021c88133563</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,864,2102,27924,27925</link.rule.ids></links><search><creatorcontrib>Monteoliva, Juan Manuel</creatorcontrib><creatorcontrib>Garretón, Julieta A. Yamín</creatorcontrib><creatorcontrib>Pattini, Andrea E.</creatorcontrib><creatorcontrib>INAHE, CONICET, Av. Ruiz Lean s/n Parque Gral. San Martín, CP 5500, Mendoza, Argentina</creatorcontrib><title>Comparative Investigation of Daylight Glare Probability (DGP) Comfort Classes in Clear Sky Condition</title><title>Journal of daylighting</title><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 (&lt; 2.7%), in terms of glare absence (DGP &lt;0.38) and presence (DGP &gt;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.</description><subject>clear sky</subject><subject>daylight</subject><subject>dgp</subject><subject>glare</subject><issn>2383-8701</issn><issn>2383-8701</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpNkMtKAzEUhoMoWGpXvkCWikzNpZnJLKXVWihYUNch15pxOinJUJi3N21FXJ3_3L7D-QG4xWiKWUmqx8ZMCSJ4SsgFGBHKacErhC__6WswSalBCOGqpojUI2DmYbeXUfb-YOGqO9jU-23OQgeDgws5tH771cNlK6OFmxiUVL71_QDvFsvNPczbLsQezluZkk3Qd1laGeH795CbnfFH1A24crJNdvIbx-Dz5flj_lqs35ar-dO60IRhUhDKCJtpV1aVUaU23NZMOe6oZhWrZwpLaxCiyBnGKSekKvNQflhzjillJR2D1ZlrgmzEPvqdjIMI0otTIcStkLH3urVC5T3OmJFG61mp8yXELbLKUSs5pyqzHs4sHUNK0bo_Hkbi5LdojDj6LQihP5awcfc</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Monteoliva, Juan Manuel</creator><creator>Garretón, Julieta A. Yamín</creator><creator>Pattini, Andrea E.</creator><general>SolarLits</general><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope></search><sort><creationdate>20211201</creationdate><title>Comparative Investigation of Daylight Glare Probability (DGP) Comfort Classes in Clear Sky Condition</title><author>Monteoliva, Juan Manuel ; Garretón, Julieta A. Yamín ; Pattini, Andrea E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2512-235254cf677db6cd8e95bf8f3c57594b1aed0030fd583822766cd021c88133563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>clear sky</topic><topic>daylight</topic><topic>dgp</topic><topic>glare</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Monteoliva, Juan Manuel</creatorcontrib><creatorcontrib>Garretón, Julieta A. Yamín</creatorcontrib><creatorcontrib>Pattini, Andrea E.</creatorcontrib><creatorcontrib>INAHE, CONICET, Av. Ruiz Lean s/n Parque Gral. San Martín, CP 5500, Mendoza, Argentina</creatorcontrib><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of daylighting</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Monteoliva, Juan Manuel</au><au>Garretón, Julieta A. Yamín</au><au>Pattini, Andrea E.</au><aucorp>INAHE, CONICET, Av. Ruiz Lean s/n Parque Gral. San Martín, CP 5500, Mendoza, Argentina</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparative Investigation of Daylight Glare Probability (DGP) Comfort Classes in Clear Sky Condition</atitle><jtitle>Journal of daylighting</jtitle><date>2021-12-01</date><risdate>2021</risdate><volume>8</volume><issue>2</issue><spage>284</spage><epage>293</epage><pages>284-293</pages><issn>2383-8701</issn><eissn>2383-8701</eissn><abstract>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 (&lt; 2.7%), in terms of glare absence (DGP &lt;0.38) and presence (DGP &gt;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.</abstract><pub>SolarLits</pub><doi>10.15627/jd.2021.22</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2383-8701
ispartof Journal of daylighting, 2021-12, Vol.8 (2), p.284-293
issn 2383-8701
2383-8701
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_b021855dadcc46ce9508e0ebf3ea883b
source DOAJ Directory of Open Access Journals
subjects clear sky
daylight
dgp
glare
title Comparative Investigation of Daylight Glare Probability (DGP) Comfort Classes in Clear Sky Condition
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T13%3A50%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-doaj_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Comparative%20Investigation%20of%20Daylight%20Glare%20Probability%20(DGP)%20Comfort%20Classes%20in%20Clear%20Sky%20Condition&rft.jtitle=Journal%20of%20daylighting&rft.au=Monteoliva,%20Juan%20Manuel&rft.aucorp=INAHE,%20CONICET,%20Av.%20Ruiz%20Lean%20s/n%20Parque%20Gral.%20San%20Mart%C3%ADn,%20CP%205500,%20Mendoza,%20Argentina&rft.date=2021-12-01&rft.volume=8&rft.issue=2&rft.spage=284&rft.epage=293&rft.pages=284-293&rft.issn=2383-8701&rft.eissn=2383-8701&rft_id=info:doi/10.15627/jd.2021.22&rft_dat=%3Cdoaj_cross%3Eoai_doaj_org_article_b021855dadcc46ce9508e0ebf3ea883b%3C/doaj_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2512-235254cf677db6cd8e95bf8f3c57594b1aed0030fd583822766cd021c88133563%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true