Determination of discomfort glare criteria for daylit space in Indonesia

Abstract The topic of discomfort glare is an important issue in daylit buildings; however, a consensus on the glare indices and their criteria is hard to achieve, since any measured objective values must show a significant correlation with perception of the space occupants. Applicability of the criteria for each glare indices is yet to be determined, considering various demographic and cultural differences and preferences. However, most studies on discomfort glare from daylight were conducted in regions dominated with Caucasian population. This research aims to determine the appropriate criteria for discomfort glare in Indonesia, using high dynamic range (HDR) imaging technique and post-occupancy evaluation. The objectives are to find correlations between various physical variables and glare indices and to obtain the comfort criteria for daylighting glare in Indonesia. Assessment was conducted in the reading hall of the Main Library Building of Institut Teknologi Bandung. Post-occupancy evaluation was conducted with 99 participants. None of the proposed metrics have a high correlation with the mean subjective score; the largest squared correlation coefficients are given by Evalglare -defined mean source luminance ( L s,Evalglare ) and daylight glare probability (DGP). The most significant differences between mean values under comfort and discomfort scenes are also given by those two metrics. The following values are suggested as borders between imperceptible and perceptible glare perception: L s,Evalglare  = 1331–1347 cd/m 2 , DGP = 0.21; between perceptible and disturbing: L s,Evalglare  = 1867–1874 cd/m 2 , DGP = 0.22; and between disturbing and intolerable: L s,Evalglare  = 2760–3121 cd/m 2 , DGP = 0.24–0.26.

[1]  S. Chirarattananon,et al.  Daylight availability and models for global and diffuse horizontal illuminance and irradiance for Bangkok , 2002 .

[2]  H. Djamila,et al.  Estimation of exterior vertical daylight for the humid tropic of Kota Kinabalu city in East Malaysia , 2011 .

[3]  Gillian Isoardi,et al.  Discomfort glare in open plan green buildings , 2014 .

[4]  Kevin Van Den Wymelenberg,et al.  Visual Comfort, Discomfort Glare, and Occupant Fenestration Control: Developing a Research Agenda , 2014 .

[5]  Louis Gosselin,et al.  Integration of smart windows into building design for reduction of yearly overall energy consumption and peak loads , 2012 .

[6]  M. Fontoynont,et al.  Perceived performance of daylighting systems: lighting efficacy and agreeableness , 2002 .

[7]  Anca D. Galasiu,et al.  Occupant preferences and satisfaction with the luminous environment and control systems in daylit offices: a literature review , 2006 .

[8]  Van Den Wymelenberg,et al.  Evaluating Human Visual Preference and Performance in an Office Environment Using Luminance-based Metrics , 2012 .

[9]  Denis Fan,et al.  A Data Collection Method for Long-Term Field Studies of Visual Comfort in Real-World Daylit Office Environments , 2009 .

[10]  Mehlika Inanici,et al.  Thermal performance optimization of building aspect ratio and south window size in five cities having different climatic characteristics of Turkey , 2000 .

[11]  Warren L. Paul,et al.  A comparison of occupant comfort and satisfaction between a green building and a conventional building , 2008 .

[12]  Vítor Leal,et al.  Occupants interaction with electric lighting and shading systems in real single-occupied offices: Results from a monitoring campaign , 2013 .

[13]  Yaik Wah Lim,et al.  Dynamic internal light shelf for tropical daylighting in high-rise office buildings , 2016 .

[14]  Danny H.W. Li,et al.  An analysis of lighting energy savings and switching frequency for a daylit corridor under various indoor design illuminance levels , 2003 .

[15]  Derek Clements-Croome,et al.  Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings , 2010 .

[16]  Viswanathan Kumaragurubaran,et al.  Hdrscope: High Dynamic Range Image Processing Toolkit For Lighting Simulations And Analysis , 2012, Building Simulation Conference Proceedings.

[17]  R. G. Hopkinson,et al.  Glare from daylighting in buildings. , 1972, Applied ergonomics.

[18]  Ertunga C. Özelkan,et al.  Bi-objective optimization of building enclosure design for thermal and lighting performance , 2015 .

[19]  Jens Christoffersen Evalglare. A new RADIANCE-based tool to evaluate glare in office spaces , 2004 .

[20]  R. Kaplan The role of nature in the context of the workplace , 1993 .

[21]  Mehlika Inanici,et al.  The Effect of Luminance Distribution Patterns on Occupant Preference in a Daylit Office Environment , 2010 .

[22]  Martine Velds,et al.  User acceptance studies to evaluate discomfort glare in daylit rooms , 2002 .

[23]  Ramli Rahim,et al.  Classification of daylight and radiation data into three sky conditions by cloud ratio and sunshine duration , 2004 .

[24]  Mehlika Inanici,et al.  Evaluation of high dynamic range photography as a luminance data acquisition system , 2006 .

[25]  Erik Reinhard,et al.  High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting , 2010 .

[26]  Gillian Isoardi,et al.  Post occupancy evaluations relating to discomfort glare : a study of green buildings in Brisbane , 2013 .

[27]  K. Konis,et al.  Visual Comfort Analysis of Innovative Interior and Exterior Shading Systems for Commercial Buildings using High Resolution Luminance Images , 2011 .

[28]  Russell P. Leslie,et al.  Capturing the daylight dividend in buildings: why and how? , 2003 .

[29]  Mehlika Inanici,et al.  A Critical Investigation of Common Lighting Design Metrics for Predicting Human Visual Comfort in Offices with Daylight , 2014 .

[30]  Serm Janjai,et al.  Estimation of sky luminance in the tropics using artificial neural networks: Modeling and performance comparison with the CIE model , 2011 .

[31]  G. Newsham,et al.  Windows, view, and office characteristics predict physical and psychological discomfort , 2010 .

[32]  Dimitrios Bikas,et al.  Modeling the influence of glazed openings percentage and type of glazing on the thermal zone behavior , 2002 .

[33]  Danny H.W. Li,et al.  Daylighting and energy implications due to shading effects from nearby buildings , 2007 .

[34]  Ibrahim M. Al-Helal,et al.  Dynamic analysis of daylight metrics and energy saving for rooftop window integrated flat roof structure of building , 2015 .

[35]  Beta Paramita,et al.  Solar Envelope Assessment in Tropical Region Building Case Study: Vertical Settlement in Bandung, Indonesia☆ , 2013 .

[36]  J. IJspeert,et al.  Dependence of intraocular straylight on pigmentation and light transmission through the ocular wall , 1991, Vision Research.

[37]  Jan Wienold,et al.  Evaluation methods and development of a new glare prediction model for daylight environments with the use of CCD cameras , 2006 .

[38]  Dilshan Remaz Ossen,et al.  The effect of geometric shape and building orientation on minimizing solar insolation on high-rise buildings in hot humid climate , 2007 .

[39]  K. Ishibashi,et al.  Influence of eye colors of Caucasians and Asians on suppression of melatonin secretion by light. , 2007, American journal of physiology. Regulatory, integrative and comparative physiology.

[40]  T. J. T. P. van den Berg,et al.  The intraocular straylight function in 129 healthy volunteers; Dependence on angle, age and pigmentation , 1990, Vision Research.

[41]  Danny H.W. Li,et al.  Determination of vertical daylight illuminance under non-overcast sky conditions , 2010 .

[42]  Ra Rizki Mangkuto,et al.  Revisiting the national standard of daylighting in Indonesia: A study of five daylit spaces in Bandung , 2016 .

[43]  Carolyn M. Tennessen,et al.  Views to nature: Effects on attention , 1995 .

[44]  Adrian Trząski,et al.  Energy labeling of windows - Possibilities and limitations , 2015 .

[45]  Athanasios Tzempelikos,et al.  Sensitivity analysis on daylighting and energy performance of perimeter offices with automated shading , 2013 .

[46]  Enedir Ghisi,et al.  An Ideal Window Area concept for energy efficient integration of daylight and artificial light in buildings , 2005 .

[47]  Philip C. Eames,et al.  Smart windows: thermal modelling and evaluation , 2014 .

[48]  Jan Wienold,et al.  The daylighting dashboard – A simulation-based design analysis for daylit spaces , 2011 .

[49]  P. R. Tregenza,et al.  Discomfort glare from interesting images , 2005 .

[50]  Ra Rizki Mangkuto,et al.  Design optimisation for window size, orientation, and wall reflectance with regard to various daylight metrics and lighting energy demand: A case study of buildings in the tropics , 2016 .

[51]  Maryann Simmons,et al.  JPEG-HDR: a backwards-compatible, high dynamic range extension to JPEG , 2005, CIC.

[52]  V. Loftness,et al.  Multi-objective optimization of building envelope for energy consumption and daylight , 2014 .

[53]  A.A.L. Maduekwe,et al.  Hourly global and diffuse radiation of Lagos, Nigeria. Correlation with some atmospheric parameters , 1994 .

[54]  Brian T. Gill,et al.  A plasma display window?—The shifting baseline problem in a technologically mediated natural world , 2008 .

[55]  Surapong Chirarattananon,et al.  Application of automated blind for daylighting in tropical region , 2009 .

[56]  Rustu Eke,et al.  Shading effect on the energy rating of two identical PV systems on a building façade , 2015 .

[57]  Jan Hensen,et al.  Considerations on design optimization criteria for windows providing low energy consumption and high visual comfort , 2012 .

[58]  Veronica Garcia-Hansen,et al.  Prediction of discomfort glare from windows under tropical skies , 2017 .

[59]  N.D. Dahlan,et al.  Daylight Ratio, Luminance, and Visual Comfort Assessments in Typical Malaysian Hostels , 2009 .

[60]  Mohd Hamdan Ahmad,et al.  The effects of direct sunlight on light shelf performance under tropical sky , 2015 .

[61]  H. Piazena,et al.  The effect of altitude upon the solar UV-B and UV-A irradiance in the tropical Chilean Andes , 1996 .

[62]  Mehlika Inanici,et al.  Evaluating a New Suite of Luminance-Based Design Metrics for Predicting Human Visual Comfort in Offices with Daylight , 2016 .

[63]  Juan C. Klainsek Glazing and its influence on building energy behavior , 1991 .

[64]  Danny H.W. Li,et al.  Simple method for determining daylight illuminance in a heavily obstructed environment , 2009 .

[65]  S. Janjai,et al.  A semi-empirical approach for the estimation of global, direct and diffuse illuminance under clear sky condition in the tropics , 2013 .