Validating the application of occupancy sensor networks for lighting control

Abstract

A new occupancy detection sensor network was developed, commissioned and installed in two private offices: data were collected to evaluate the utility of the sensor network for lighting control. Results show that there is considerable uncertainty associated with the determination of occupancy using measurements from a single detector in a space. A sensor network reduces uncertainty, because data from other detectors provides converging information that can be used to determine if a space is occupied. Sophisticated analysis techniques can be applied to the sensor network data stream to provide improved occupancy measurement and lighting control, compared to current systems.