DocumentCode
545862
Title
Duty-cycling buildings aggressively: The next frontier in HVAC control
Author
Agarwal, Yuvraj ; Balaji, Bharathan ; Dutta, Seemanta ; Gupta, Rajesh K. ; Weng, Thomas
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of California, San Diego, CA, USA
fYear
2011
fDate
12-14 April 2011
Firstpage
246
Lastpage
257
Abstract
Buildings are known to be the largest consumers of electricity in the United States, and often times the dominant energy consumer is the HVAC system. Despite this fact, in most buildings the HVAC system is run using primitive static control algorithms based on fixed work schedules causing wasted energy during periods of low occupancy. In this paper we present a novel control architecture that uses occupancy sensing to guide the operation of a building HVAC system. We show how we can enable aggressive duty-cycling of building HVAC systems - that is, turn them ON or OFF - to save energy while meeting building performance requirements using inexpensive sensing and control methods. We have deployed our occupancy sensor network across an entire floor of a university building and our data shows several periods of low occupancy with significant opportunities to save energy over normal HVAC schedules. Furthermore, by interfacing with the building Energy Management System (EMS) directly and using real-time occupancy data collected by our occupancy nodes, we measure electrical energy savings of 9.54% to 15.73% and thermal energy savings of 7.59% to 12.85% for the HVAC system by controlling just one floor of our four floor building.
Keywords
HVAC; building management systems; energy conservation; energy management systems; wireless sensor networks; HVAC control; HVAC schedule; aggressive duty-cycling; building HVAC system; building energy management system; building performance requirement; control architecture; electrical energy saving; energy consumption; energy waste; fixed work schedule; occupancy nodes; occupancy sensor network; primitive static control algorithm; real-time occupancy data; thermal energy saving; university building; wireless sensor network; Base stations; Buildings; Cooling; Medical services; Schedules; Wireless communication; Wireless sensor networks; HVAC Control System; Occupancy Detection System; Wireless Sensor Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Processing in Sensor Networks (IPSN), 2011 10th International Conference on
Conference_Location
Chicago, IL
Print_ISBN
978-1-61284-854-9
Electronic_ISBN
978-1-4503-0512-9
Type
conf
Filename
5779042
Link To Document