Cross-validation and robustness of daylight glare metrics

Author:

Wienold J1ORCID,Iwata T2,Sarey Khanie M3,Erell E4ORCID,Kaftan E4,Rodriguez RG5,Yamin Garreton JA5,Tzempelikos T6,Konstantzos I7,Christoffersen J8,Kuhn TE9,Pierson C10ORCID,Andersen M1

Affiliation:

1. LIPID, École Polytechnique Fédérale de Lausanne, Switzerland

2. Department of Architecture and Building Engineering, Tokai University, Japan

3. ICIEE, Technical University of Denmark, Kongens Lyngby, Denmark

4. BIDR, Ben-Gurion University of the Negev, Sde Boqer Campus, Israel

5. INAHE, CONICET, Mendoza, Argentina

6. School of Civil Engineering, Purdue University, West Lafayette, Indiana, USA

7. The Durham School, University of Nebraska, Lincoln, Nebraska, USA

8. VELUX A/S, Hoersholm, Denmark

9. Fraunhofer Institute for Solar Energy Systems ISE, Freiburg, Germany

10. Universiteé Catholique de Louvain, Louvain-la Neuve, Belgium

Abstract

This study evaluates the performance and robustness of 22 established and newly proposed glare prediction metrics. Experimental datasets of daylight-dominated workplaces in office-like test rooms were collected from studies by seven research groups in six different locations (Argentina, Denmark, Germany, Israel, Japan and the United States). The variability in experimental setups, locations and research teams allowed reliable evaluation of the performance and robustness of glare metrics for daylight-dominated workplaces. Independent statistical methods were applied to individual datasets and also to one combined dataset to evaluate the performance and robustness of the 22 glare metrics. As performance and robustness are not established in literature, we defined performance as: (1) the ability of the metric value to describe the glare scale (evaluated by Spearman rank correlation), and (2) the ability of the metric to distinguish between disturbing and non-disturbing situations (evaluated by diagnostic receiver operating characteristic curve analysis tests). Furthermore, we defined robustness as the ability of a metric to deliver meaningful results when applied to different datasets and to fail as few as possible statistical tests. Average Spearman rank correlation coefficients in the range of 0.55–0.60 as well as average prediction rates to distinguish between disturbing and non-disturbing glare of 70–75% for several of the metrics indicate their reliability. The results also show that metrics considering the saturation effect as a main input in their equation perform better and are more robust in daylight-dominated workplaces than purely contrast-based metrics or purely empirical metrics. In this study, the daylight glare probability (DGP) delivered the highest performance amongst the tested metrics and was also found to be the most robust. Future research should aim to optimise the terms of glare equations which combine contrast and saturation effects, such as DGP, PGSV or UGRexp, to achieve metrics that also perform reliably in dimmer lighting conditions than the ones explored in this study.

Publisher

SAGE Publications

Subject

Electrical and Electronic Engineering

Cited by 109 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3