On-site monitoring and subjective comfort assessment of a sun shadings and electric lighting controller based on novel High Dynamic Range vision sensors

Electric lighting is responsible of about one fifth of the electricity demand of buildings in Switzerland. Therein, integrated control of sun shadings and artificial lighting can mitigate the electricity demand while maintaining the user comfort and performance. However, the drawback of the existing smart building technologies is that they do not take visual comfort effectively into account, one of the essential aspects of indoor human comfort. An ‘on-the-fly’ measurement of a visual comfort index, Daylight Glare Probability (DGP), by a novel High Dynamic Range (HDR) vision sensor was introduced into the building control system optimizing the sun shadings position and electric lighting status. Two identical office rooms (reference and advance) of the LESO solar experimental building were occupied by 30 human subjects during 15 afternoons and were used to experimentally compare the performance and users acceptance of the fuzzy logic based control system against a best practice reference system. A paper-based and a computer-based visual tests, subjective self-reported visual comfort surveys and precise monitoring of the electric lighting consumptions were carried out. The results indicates that the electricity demand of the advanced system is 32% lower than the reference one. It also shows that, while the subjects’ visual performance remain comparable in the two office rooms, the advanced control system is successful in preventing discomfort glare sensations.

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

[2]  Gilles Fraisse,et al.  Influence of the coupling between daylight and artificial lighting on thermal loads in office buildings , 2004 .

[3]  P. R. Boyce,et al.  A field study of illuminance reduction , 2006 .

[4]  Jean-Louis Scartezzini,et al.  Evening office lighting visual comfort vs. energy efficiency vs. performance , 2011 .

[5]  Jean-Louis Scartezzini,et al.  Occupant satisfaction in office rooms equipped with Anidolic Daylighting Systems , 2008 .

[6]  René Altherr A low environmental impact anidolic facade , 2001 .

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

[8]  Antoine Guillemin Using genetic algorithms to take into account user wishes in an advanced building control system , 2003 .

[9]  Friedrich Linhart Energetic, Visual and Non-Visual Aspects of Office Lighting , 2010 .

[10]  Chuen-Chien Lee FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .

[11]  John Mardaljevic,et al.  Minimally intrusive evaluation of visual comfort in the normal workplace. , 2008 .

[12]  D. Lindelöf,et al.  Bayesian optimization of visual comfort , 2007 .

[13]  Kyle Konis,et al.  Predicting visual comfort in side-lit open-plan core zones: Results of a field study pairing high dynamic range images with subjective responses , 2014 .

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

[15]  Iason Konstantzos,et al.  Experimental and simulation analysis of daylight glare probability in offices with dynamic window shades , 2015 .

[16]  Aris Tsangrassoulis,et al.  Multi-criteria decision analysis to select the optimum position and proper field of view of a photosensor , 2014 .

[17]  Ali Motamed,et al.  VALIDATION AND PRELIMINARY EXPERIMENTS OF EMBEDDED DISCOMFORT GLARE ASSESSMENT THROUGH A NOVEL HDR VISION SENSOR , 2015 .

[18]  G. Courret Systèmes anidoliques d"éclairage naturel , 1999 .

[19]  Laura Bellia,et al.  HDR luminance mapping analysis system for visual comfort evaluation , 2009, 2009 IEEE Instrumentation and Measurement Technology Conference.

[20]  Jean-Louis Scartezzini,et al.  A new device for dynamic luminance mapping and glare risk assessment in buildings , 2012, Other Conferences.

[21]  Mehlika Inanici,et al.  Evaluation of High Dynamic Range Photography as a Luminance Mapping Technique , 2004 .

[22]  Andrew McNeil,et al.  Empirical Assessment of a Prismatic Daylight-Redirecting Window Film in a Full-Scale Office Testbed , 2014 .

[23]  Stephen Wittkopf,et al.  Prediction of energy savings with anidolic integrated ceiling across different daylight climates , 2006 .

[24]  Iason Konstantzos,et al.  Daylight glare evaluation with the sun in the field of view through window shades , 2017 .

[25]  Danny H.W. Li,et al.  Lighting and energy performance for an office using high frequency dimming controls , 2006 .

[26]  Jean-Luc Nagel,et al.  An SoC combining a 132dB QVGA pixel array and a 32b DSP/MCU processor for vision applications , 2009, 2009 IEEE International Solid-State Circuits Conference - Digest of Technical Papers.

[27]  Iason Konstantzos,et al.  Occupant interactions with shading and lighting systems using different control interfaces: A pilot field study , 2016 .

[28]  Iason Konstantzos,et al.  Daylight glare evaluation when the sun is within the field of view through window shades. , 2016 .

[29]  Francesca Fragliasso,et al.  Why are daylight-linked controls (DLCs) not so spread? A literature review , 2016 .

[30]  Tadj Oreszczyn,et al.  Occupant control of passive systems: the use of Venetian blinds , 2001 .

[31]  Athanasios Tzempelikos,et al.  Model-based shading and lighting controls considering visual comfort and energy use , 2016 .

[32]  Apiparn Borisuit,et al.  The Impact of Light Including Non-Image Forming Effects on Visual Comfort , 2013 .

[33]  Gregory J. Ward,et al.  Improving the performance of photo-electrically controlled lighting systems , 1989 .

[34]  Mary Graw Leary,et al.  Reasonable Expectations of Privacy for Youth in a Digital Age , 2011 .

[35]  Ali Motamed,et al.  Toward an Integrated Platform for Energy Efficient Lighting Control of Non-Residential Buildings , 2016 .

[36]  Nursyarizal Mohd Nor,et al.  A review on optimized control systems for building energy and comfort management of smart sustainable buildings , 2014 .

[37]  M. Bach,et al.  The Freiburg Visual Acuity test--automatic measurement of visual acuity. , 1996, Optometry and vision science : official publication of the American Academy of Optometry.