Comparative Investigation of Daylight Glare Probability (DGP) Comfort Classes in Clear Sky Condition

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 (< 2.7%), in terms of glare absence (DGP <0.38) and presence (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.

Visual and melanopic performance of a tropical daylight-mimicking lighting: a case study in Thailand

“…Taiwan) with a maximum measuring range of 400,000 lx was also used for parallel recordings. To minimize measurement errors due to environmental factors, the experiment took into account weather forecasts and recorded instrument reading only on clear-sky days, avoiding weather conditions, such as clouds, rain, and high relative humidity (%RH), that could cause distortion in the readings [23]- [25]. Light sources were also analysed according to visual and melanopic performances mentioned in Table 1.…”

Optimización del diseño de aulas: aprovechamiento de la luz natural para confort visual en Villa María, Argentina

“…El deslumbramiento es uno de los indicadores más influyentes en el confort visual (Monteoliva, Garretón y Pattini, 2021). El modelo de predicción Daylight Glare Probability (DGP), desarrollado por Wienold y Christofferen (2006) es considerado uno de los modelos más precisos para estudiar el deslumbramiento dentro de espacios construidos.…”