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Investigation of existing discomfort glare indices using human subject study data

机译:使用人体研究数据调查现有的不适眩光指数

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As daylighting becomes an increasingly important component of design for etiergy savings and views to the outside, it is necessary to take into disadvantages that windows pose including the possibility of glare. It is crucial to understand how current metrics of glare perform this task. Validation studies were performed on five glare indices including Daylight Glare Probability (DGP) and Daylight Glare Index (DGI) that have been developed specifically for daylight glare issues. A parallel human subject study has been performed to collect subjective discomfort glare evaluations of daylit conditions. In addition, high dynamic range imaging was used to capture and analyze the glare scenes that were experienced by those human subjects. More than 450 daylight glare scenes and subjective surveys were collected in a closed office setting. The collected data were processed in Evalglare to obtain glare scores, and the results were compared for statistical analysis of subjective evaluations. The results show that DGP functions best at absence of glare and presence of intolerable glare; but in between it provides disappointingly low predictions. DGI underestimates glare while Visual Comfort Probability and CIE Glare Index overestimate it. This evaluation comparison study supports the findings that the five glare indices have significant inconsistency and inaccuracy issues. The glare indices behaved differently based on the perceived glare categories: imperceptible, perceptible, disturbing, and intolerable. The existing glare score ranges are compared to the newly defined glare score ranges for further improvement. (C) 2016 Elsevier Ltd. All rights reserved.
机译:随着采光成为节约能源和向外看的设计中越来越重要的组成部分,有必要考虑到窗户带来的缺点,包括眩光的可能性。了解当前的眩光指标如何执行此任务至关重要。针对五个眩光指数进行了验证研究,其中包括专门针对日光眩光问题开发的日光眩光概率(DGP)和日光眩光指数(DGI)。已经进行了一项平行的人体研究,以收集白天条件下的主观不适感眩光评估。此外,高动态范围成像用于捕获和分析那些人类对象经历的眩光场景。在封闭的办公室环境中收集了450多个日光眩光场景和主观调查。收集的数据在Evalglare中进行处理以获得眩光得分,并将结果进行比较以进行主观评估的统计分析。结果表明,DGP在没有眩光和无法忍受的眩光的情况下效果最佳;但在两者之间却提供了令人失望的低预测。 DGI低估了眩光,而Visual Comfort Probability和CIE Glare Index高估了它。这项评估比较研究支持以下发现:五个眩光指数存在明显的不一致和不准确性问题。眩光指数的表现基于感知到的眩光类别而有所不同:不可感知,可感知,令人不安和无法忍受。将现有的眩光得分范围与新定义的眩光得分范围进行比较,以进行进一步的改进。 (C)2016 Elsevier Ltd.保留所有权利。

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