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 :
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