Evaluating a New Suite of Luminance-Based Design Metrics for Predicting Human Visual Comfort in Offices with Daylight

Wymelenberg, Kevin Van Den; Inanici, Mehlika

doi:10.1080/15502724.2015.1062392

Cited by 58 publications

(40 citation statements)

References 19 publications

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“…This study focussed on the desktop luminance, which closely relates to lighting requirements such as the desktop illuminance of 500 lx. However, there are more surfaces (background area) and areas of the visual field (40° luminance band) that might be more relevant for the visual comfort of the user (Van Den Wymelenberg and Inanici, 2016). Moreover, it is expected that environmental aspects influence the feasibility of ceiling-based luminance measurement.…”

Section: Discussionmentioning

confidence: 99%

Ceiling-Based Luminance Measurements: A Feasible Solution?

Kruisselbrink

Dangol

Loenen

2019

PROCEEDINGS OF the 29th Quadrennial Session of the CIE

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Luminance distributions would be very suitable as input for lighting control systems that aim for a comfortable lit indoor environment. Luminance distribution measurements should then correspond to the visual field of the user. However, this will interfere with office activities. Therefore, this study aims to validate whether it is feasible to approximate the luminous conditions experienced by the user using ceiling-based measurements instead. The average desktop luminance was measured using a luminance camera, under varying conditions, simultaneously from eye level and ceiling and their relations were analysed. Normalized root mean square errors were found ranging from 10,3 % to 14,3 %, while the average bias was 14,2 % between measurements from eye level and ceiling. Based on these results, it is concluded that the experienced desktop luminance cannot be exactly replicated by ceilingbased measurements. However, ceiling-based luminance measurements are able to provide a reasonable approximation that suffices for practical systems.

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Section: Discussionmentioning

confidence: 99%

Ceiling-Based Luminance Measurements: A Feasible Solution?

Kruisselbrink

Dangol

Loenen

2019

PROCEEDINGS OF the 29th Quadrennial Session of the CIE

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“…To answer the first question, K. Van Den Wymelenberg et al [5,6] applied Pearson's correlation between ordinal subjective responses and the metric values. This statistical method delivers reliable results only when the distance between all the ordinal categories are known as to be the same.…”

Section: Methodsmentioning

confidence: 99%

“…Fisekis and Davis [4] suggested a modification of the DGI (named here in the following DGI mod ). K. Van Den Wymelenberg et al [5,6] suggest to use the average luminance in the 40°band (L 40°band_avg ) and the standard deviation of window luminance (L std_window ) for the evaluation of visual discomfort. As an outcome of field-studies in green buildings in Australia, Hirning et.…”

Section: Investigated Glare Metricsmentioning

confidence: 99%

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Comparison of Luminance Based Metrics in Different Lighting Conditions

Wienold

Andersen

Khanie

et al. 2018

Proceedings of the Conference at the Cie Midterm Meeting 2017 23 – 25 October 2017, Jeju, Republic of Korea

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In this study, we evaluate established and newly developed metrics for predicting glare using data from three different research studies. The evaluation covers two different targets: 1. How well the user's perception of glare magnitude correlates to the prediction of the glare metrics? 2. How well do the glare metrics describe the subjects' disturbance by glare? We applied Spearman correlations, logistic regressions and an accuracy evaluation, based on an ROCanalysis. The results show that five of the twelve investigated metrics are failing at least one of the statistical tests. The other seven metrics CGI, modified DGI, DGP, Ev, average Luminance of the image L avg , UGP and UGR are passing all statistical tests. DGP, CGI, DGI_mod and UGP have largest AUC and might be slightly more robust. The accuracy of the predictions of afore mentioned seven metrics for the disturbance by glare lies in the range of 75-83% and does not confirm findings from other studies stating a poor performance of existing glare metrics.

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“…The fourteen investigated metrics, their sources, their borderline between comfort and discomfort (BCD) and the labels used to identify them in this study are listed in Table 1. (Wienold and Christoffersen, 2006) [2] (Hopkinson, 1972) [3] (Fisekis et al, 2003) [4] (CIE, 1995) [5] (Hirning et al, 2014) [6] (Van Den Wymelenberg and Inanici, 2015) [7] (Mahić et al, 2017) [8] (Dilaura et al, 2011) [9] (Konis, 2014)…”

Section: Investigated Metricsmentioning

confidence: 99%

Testing the Predictive Power of Visual Discomfort From Glare Metrics in the Near-Window and Near-Wall Zones of the Daylit Classroom Environment

Viula

Hordijk

2019

PROCEEDINGS OF the 29th Quadrennial Session of the CIE

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The objective of the present study was to find how well a group of selected luminance-based metrics predict reported visual discomfort from daylight glare in spatial conditions that differ from the conditions where metrics tend to developed and validated for. An empirical study involving the assessment of visual discomfort from glare by n=50 subjects (n=185 cases) in a daylit-only classroom space was carried out to investigate this problem. It was found that the glare indexes were the most robust metrics predicting reported glare. However, as all metrics failed most of the statistical tests in the near-wall zone of the classroom, it can be said that none of the metrics was able to predict with enough accuracy the glare reported across the space. Indeed, the metrics show a very poor performance in the sitting positions away from the window, an aspect that requires further investigation.

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Evaluating a New Suite of Luminance-Based Design Metrics for Predicting Human Visual Comfort in Offices with Daylight

Cited by 58 publications

References 19 publications

Ceiling-Based Luminance Measurements: A Feasible Solution?

Ceiling-Based Luminance Measurements: A Feasible Solution?

Comparison of Luminance Based Metrics in Different Lighting Conditions

Testing the Predictive Power of Visual Discomfort From Glare Metrics in the Near-Window and Near-Wall Zones of the Daylit Classroom Environment

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