Paper Info
Title
Occupancy-driven energy management for smart building automation.
Abstract
Buildings are among the largest consumers of electricity in the US. A significant portion of this energy use in buildings can be attributed to HVAC systems used to maintain comfort for occupants. In most cases these building HVAC systems run on fixed schedules and do not employ any fine grained control based on detailed occupancy information. In this paper we present the design and implementation of a presence sensor platform that can be used for accurate occupancy detection at the level of individual offices. Our presence sensor is low-cost, wireless, and incrementally deployable within existing buildings. Using a pilot deployment of our system across ten offices over a two week period we identify significant opportunities for energy savings due to periods of vacancy. Our energy measurements show that our presence node has an estimated battery lifetime of over five years, while detecting occupancy accurately. Furthermore, using a building simulation framework and the occupancy information from our testbed, we show potential energy savings from 10% to 15% using our system.
Year
DOI
Venue
2010
10.1145/1878431.1878433
BuildSys@SenSys
Keywords
Field
DocType
accurate occupancy detection,potential energy saving,energy measurement,presence node,occupancy information,smart building automation,wireless sensor network,detailed occupancy information,energy saving,occupancy detection system,presence sensor,occupancy-driven energy management,presence sensor platform,hvac control system,energy use,potential energy,hvac system,management,design,control system,energy management
Energy management,Simulation,HVAC,HVAC control system,Testbed,Automation,Real-time computing,Occupancy,Building automation,Engineering,Wireless sensor network
Conference
Citations 
PageRank 
References 
143
11.73
6
Authors
6
Search Limit
100143
Name
Order
Citations
PageRank
Yuvraj Agarwal11327102.62
Bharathan Balaji234430.74
Rajesh K. Gupta34570390.84
Jacob Lyles414311.73
Michael Wei527316.95
Thomas Weng621016.64