Duty-cycling buildings aggressively: The next frontier in HVAC control
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 ene...
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| Vydáno v: | 2011 10th International Conference on Information Processing in Sensor Networks s. 246 - 257 |
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| Hlavní autoři: | , , , , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
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IEEE
01.04.2011
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| ISBN: | 9781612848549, 1612848540 |
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| 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. |
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| AbstractList | 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. |
| Author | Balaji, Bharathan Dutta, Seemanta Agarwal, Yuvraj Gupta, Rajesh K Weng, Thomas |
| Author_xml | – sequence: 1 givenname: Yuvraj surname: Agarwal fullname: Agarwal, Yuvraj email: yuvraj@cs.ucsd.edu organization: Dept. of Comput. Sci. & Eng., Univ. of California, San Diego, CA, USA – sequence: 2 givenname: Bharathan surname: Balaji fullname: Balaji, Bharathan email: bbalaji@cs.ucsd.edu organization: Dept. of Comput. Sci. & Eng., Univ. of California, San Diego, CA, USA – sequence: 3 givenname: Seemanta surname: Dutta fullname: Dutta, Seemanta email: sedutta@cs.ucsd.edu organization: Dept. of Comput. Sci. & Eng., Univ. of California, San Diego, CA, USA – sequence: 4 givenname: Rajesh K surname: Gupta fullname: Gupta, Rajesh K email: gupta@cs.ucsd.edu organization: Dept. of Comput. Sci. & Eng., Univ. of California, San Diego, CA, USA – sequence: 5 givenname: Thomas surname: Weng fullname: Weng, Thomas email: tweng@cs.ucsd.edu organization: Dept. of Comput. Sci. & Eng., Univ. of California, San Diego, CA, USA |
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| Snippet | 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... |
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| StartPage | 246 |
| SubjectTerms | Base stations Buildings Cooling HVAC Control System Medical services Occupancy Detection System Schedules Wireless communication Wireless Sensor Network Wireless sensor networks |
| Title | Duty-cycling buildings aggressively: The next frontier in HVAC control |
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