|Title||Lighting Controls in Commercial Buildings|
|Publication Type||Journal Article|
|Year of Publication||2012|
|Authors||Alison A Williams, Barbara A Atkinson, Karina Garbesi, Erik Page, Francis M Rubinstein|
|Journal||Leukos: The Journal of the Illuminating Engineering Society of North America|
|Keywords||controls, daylighting, energy, occupancy sensors, tuning.|
Researchers have been quantifying energy savings from lighting controls in commercial buildings for more than 30 years. This study provides a meta-analysis of lighting energy savings identified in the literature—240 savings estimates from 88 papers and case studies, categorized into daylighting strategies, occupancy strategies, personal tuning, and institutional tuning. Beginning with an overall average of savings estimates by control strategy, successive analytical filters are added to identify potential biases introduced to the estimates by different analytical approaches. Based on this meta-analysis, the best estimates of average lighting energy savings potential are 24 percent for occupancy, 28 percent for daylighting, 31 percent for personal tuning, 36 percent for institutional tuning, and 38 percent for multiple approaches. The results also suggest that simulations significantly overestimate (by at least 10 percent) the average savings obtainable from daylighting in actual buildings.