|Title||Analyzing Occupancy Profiles from a Lighting Controls Field Study|
|Publication Type||Conference Paper|
|Year of Publication||2003|
|Authors||Francis M Rubinstein, Nesrin Colak, Judy D Jennings, Danielle Neils|
|Conference Name||CIE Session 2003|
|Conference Location||San Diego, CA|
Despite a number of published studies on the effectiveness of lighting controls in buildings, only one US study examines the occupancy patterns of building occupants. Occupancy profiles allow one to determine, for example, the probability that an office is occupied for each hour of the workday. Occupancy profiles are useful for many purposes including: 1) predicting the effectiveness of occupancy sensors for reducing peak demand, 2) evaluating the impact of human activity on building lighting and other electric loads and 3) providing lighting equipment manufacturers with detailed lighting operation data to help evaluate the impact of advanced lighting controls on equipment life. In this paper, we examine the occupancy profiles for 35 single person offices at a large office building in San Francisco and analyze the data to obtain average occupancy as a function of time of day. In addition, we analyzed the data to identify how the use of occupancy sensors may affect switching cycles and lamp life.
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