Achieving Integrated Daylighting and Electric Lighting Systems: Current State of the Art and Needed Research

This paper presents the results of a multi-disciplinary effort to clarify the state of the art and the state of practice, and necessary future research for creating the seamless integration and application of light in buildings, regardless of source, which is purposely modulated to illuminate surfaces and designed in a way that is comfortable, healthy, pleasing, cost-effective, and energy efficient. The authors unwrap the research, tools, and technical gaps preventing the full integration of electric lighting and daylighting with advanced façades through the coordination of lighting and windows research activities. The study and a stakeholder workshop captured current technology readiness levels (TRL), as well as research thrusts and implementation guidelines, and identified research priorities, presenting an analysis of the current landscape of lighting metrics—and which metrics are in the critical path for developing integrated daylighting and electric lighting systems, and their design, installation, and technology guidelines. In addition, the study defined stakeholder coordination, pathways to interoperable technology, and the value of viewing the work of the individual research areas holistically rather than in isolation.

[1]  Robert G. Davis,et al.  Energy impact of human health and wellness lighting recommendations for office and classroom applications , 2020, Energy and Buildings.

[2]  Robert G. Davis,et al.  Evaluating Tunable Lighting in Classrooms: Trial LED lighting systems in three classrooms in the Folsom Cordova Unified School District , 2018 .

[3]  D. Skene,et al.  Recommendations for Healthy Daytime, Evening, and Night-Time Indoor Light Exposure , 2020 .

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

[5]  Veronica Garcia-Hansen,et al.  ENERGY SAVING POTENTIAL FOR INTEGRATED DAYLIGHTING AND ELECTRIC LIGHTING DESIGN VIA USER-DRIVEN SOLUTIONS: A LITERATURE REVIEW , 2019, PROCEEDINGS OF the 29th Quadrennial Session of the CIE.

[6]  L. E. Barbrow.  International Lighting Vocabulary , 1964 .

[7]  Hongyi Cai,et al.  Improving the quality of high dynamic range images , 2011 .

[8]  Mark S. Rea,et al.  Toward a Definition of Circadian Light , 2011 .

[9]  Ian Ashdown.  Sensitivity Analysis of Glare Rating Metrics , 2005 .

[10]  E. Ne'eman.  A comprehensive approach to the integration of daylight and electric light in buildings , 1984 .

[11]  D A Newsome,et al.  Light suppresses melatonin secretion in humans. , 1980, Science.

[12]  Magali Bodart,et al.  Global energy savings in offices buildings by the use of daylighting , 2002 .

[13]  Steve Fotios,et al.  Measuring Discomfort from Glare: Recommendations for Good Practice , 2020 .

[14]  Lisa Heschong,et al.  Daylight metrics and energy savings , 2009 .

[15]  Andrew McNeil,et al.  Monitored lighting energy savings from dimmable lighting controls in The New York Times Headquarters Building , 2014 .

[16]  G. Brainard,et al.  Inferior Retinal Light Exposure Is More Effective than Superior Retinal Exposure in Suppressing Melatonin in Humans , 2003, Journal of biological rhythms.

[17]  Hongyi Cai.  High dynamic range photogrammetry for synchronous luminance and geometry measurement , 2013 .

[18]  MS Rea,et al.  Light as a circadian stimulus for architectural lighting , 2018 .

[19]  Clarence E. Waters,et al.  VCP and UGR Glare Evaluation Systems: A Look Back and a Way Forward , 2005 .

[20]  Tilmann E. Kuhn,et al.  Cross-validation and robustness of daylight glare metrics , 2019, Lighting Research & Technology.

[21]  Rob Guglielmetti,et al.  CHALLENGES TO INTEGRATED DAYLIGHTING AND ELECTRIC LIGHTING SIMULATION METHODS IN A WHOLE-BUILDING ENERGY SIMULATION CONTEXT , 2012 .

[22]  John D. Bullough,et al.  Circadian light , 2010, Journal of circadian rhythms.

[23]  Robert G. Davis,et al.  Sources of Error in HDRI for Luminance Measurement: A Review of the Literature , 2020, LEUKOS.

[24]  Paul D. Gamlin,et al.  Measuring and using light in the melanopsin age , 2014, Trends in Neurosciences.

[25]  M. A. Alghoul,et al.  Research and development on aspects of daylighting fundamentals , 2013 .

[27]  Eleanor S. Lee,et al.  Lighting energy savings potential of split-pane electrochromic windows controlled for daylighting with visual comfort , 2013 .

[28]  G. W. Larson,et al.  Rendering with radiance - the art and science of lighting visualization , 2004, Morgan Kaufmann series in computer graphics and geometric modeling.

[29]  Marc Schiler,et al.  Development of new daylight glare analysis methodology using absolute glare factor and relative glare factor , 2013 .

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

[31]  Konstantinos Papamichael,et al.  Dual-Loop Photosensor Control Systems: Reliable, Cost-Effective Lighting Control for Skylight Applications , 2010 .

[32]  S. Fotios,et al.  The Effect of a Pre-Trial Range Demonstration on Subjective Evaluations Using Category Rating of Discomfort Due to Glare , 2021, LEUKOS.

[33]  Christoph F. Reinhart,et al.  DIVA 2.0: INTEGRATING DAYLIGHT AND THERMAL SIMULATIONS USING RHINOCEROS 3D, DAYSIM AND ENERGYPLUS , 2011 .

[34]  Michael Siminovitch,et al.  Fifty percent energy savings with automatic lighting controls , 1993 .

[35]  J Uttley,et al.  Power Analysis, Sample Size, and Assessment of Statistical Assumptions—Improving the Evidential Value of Lighting Research , 2019, LEUKOS.

[36]  J. Alstan Jakubiec,et al.  Building a Database of Opaque Materials for Lighting Simulation , 2016 .

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

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