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The Effect of Luminance Distribution Patterns on Occupant Preference in a Daylit Office Environment

机译：日光办公室环境中亮度分布模式对乘员偏好的影响

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摘要

New research in daylighting metrics and developments in validated digital High Dynamic Range (HDR) photography techniques suggest that luminance based lighting controls have the potential to provide occupant satisfaction and energy saving improvements over traditional illuminance based lighting controls. This paper studies occupant preference and acceptance of patterns of luminance using HDR imaging and a repeated measures design methodology in a daylit office environment. Three existing luminance threshold analysis methods [methodl: predetermined absolute luminance threshold (for example, 2000 cd/m2), method2: scene based mean luminance threshold, and method3: task based mean luminance threshold] were studied along with additional candidate metrics for their ability to explain luminance variability of 18 participant assessments of 'preferred' and just disturbing' scenes under daylighting conditions. Per-pixel luminance data from each scene were used to calculate Daylighting Glare Probability (DGP), Daylight Glare Index (DGI), and other candidate metrics using these three luminance threshold analysis methods. Of the established methods, the most consistent and effective metrics to explain variability in subjective responses were found to be; mean luminance of the task (using method3; ^r2 = 0.59), mean luminance of the entire scene (using method2; ^r2 = 0.44), and DGP using 2000 cd/m2 as a glare source identifier (using methodl; ^r2 = 0.41). Of the 150 candidate metrics tested, the most effective was the 'mean luminance of the glare sources', where the glare sources were identified as 7* the mean luminance of the task position ^r2 = 0.64). Furthermore, DGP consistently performed better than DGI, confirming previous findings. 'Preferred' scenes never had more than ~ 10 percent of the field of view (FOV) that exceeded 2000 cd/m2. Standard deviation of the entire scene luminance also proved to be a good predictor of satisfaction with general visual appearance.
机译：采光指标的新研究以及经过验证的数字高动态范围（HDR）摄影技术的发展表明，与传统的基于照度的照明控件相比，基于亮度的照明控件具有提供乘员满意度和节能的潜力。本文研究了在日光办公室环境中使用HDR成像和重复测量设计方法对居住者的偏好和对亮度模式的接受程度。研究了三种现有的亮度阈值分析方法[方法：预定的绝对亮度阈值（例如2000 cd / m2），方法2：基于场景的平均亮度阈值和方法3：基于任务的平均亮度阈值]，以及针对其功能的其他候选指标来解释18个参与者在采光条件下对“首选”和“刚刚打扰”场景的评估的亮度变化。使用这三种亮度阈值分析方法，使用每个场景的每个像素的亮度数据来计算日光眩光概率（DGP），日光眩光指数（DGI）和其他候选指标。在已建立的方法中，最能解释主观反应变异性的最一致，最有效的指标是：任务的平均亮度（使用method3； ^ r2 = 0.59），整个场景的平均亮度（使用method2; ^ r2 = 0.44），以及使用2000 cd / m2作为眩光源标识符的DGP（使用methodl; ^ r2 = 0.41）。在测试的150个候选指标中，最有效的是“眩光源的平均亮度”，其中眩光源被标识为7 *任务位置的平均亮度^ r2 = 0.64。此外，DGP的性能始终优于DGI，从而证实了先前的发现。 “首选”场景的视野（FOV）从未超过2000 cd / m2的10％以上。整个场景亮度的标准偏差也被证明是对一般视觉外观满意度的良好预测指标。

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