Summary: Intelligent Office Lighting: Demand-Responsive Conditioning and
Increased User Satisfaction
Professor Alice Agogino
Department of Mechanical Engineering
UC Berkeley, Berkeley, CA 94720
Commercial daylighting systems have been shown to save up to 45% in electricity
consumption when properly commissioned, and installed in areas with significant
amounts of daylight. In practice however, these systems are greatly under-leveraged.
This paper details the development of an intelligent commercial lighting system
designed to overcome user dissatisfaction, lost energy savings due to simple control
algorithms, and high retrofit costs. An influence diagram decision framework is used to
optimize demand responsive actuation decisions, resulting in improvements in user
satisfaction and energy efficiency compared to existing daylighting systems. Further,
the system utilizes wireless sensing and actuating technology to relieve much of the
expense associated with retrofitting.