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Building energy management systems actuated using wireless camera sensor networks

Published:01 November 2011Publication History

ABSTRACT

Heating, cooling, ventilation, conditioning and lighting currently account for approximately 60% of the energy consumption within buildings [4]. The conditioning of these areas, however, are not controlled optimally. Rooms that are empty or only partially occupied are conditioned assuming maximum occupancy rather than actual occupancy. In order to optimize conditioning, room usage must be considered. In this demonstration, we show the interplay between a wireless camera sensor network, which is used for detection and tracking of people entering/exiting rooms, and building energy management infrastructure, which controls the heating, cooling, ventilation and lighting for a room/area.

References

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  2. ASHRAE standard 55: Thermal environmental conditions for human occupancy. ASHRAE, Inc., 2004.Google ScholarGoogle Scholar
  3. ASHRAE standard 62.1: Ventilation for acceptable indoor air quality. ASHRAE, Inc., 2007.Google ScholarGoogle Scholar
  4. 2010 Building Energy Data Book. U.S. Dept. of Energy, 2011.Google ScholarGoogle Scholar
  5. Y. Agarwal, B. Balaji, S. Dutta, R. K. Gupta, and T. Weng. Duty-cycling buildings aggressively: The next frontier in HVAC control. In IPSN'11.Google ScholarGoogle Scholar
  6. V. L. Erickson, M. Á. Carreira-Perpiñán, and A. E. Cerpa. OBSERVE: Occupancy-based system for efficient reduction of HVAC energy. In IPSN'11.Google ScholarGoogle Scholar

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  1. Building energy management systems actuated using wireless camera sensor networks

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              cover image ACM Conferences
              BuildSys '11: Proceedings of the Third ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
              November 2011
              87 pages
              ISBN:9781450307499
              DOI:10.1145/2434020

              Copyright © 2011 ACM

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 1 November 2011

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              Overall Acceptance Rate148of500submissions,30%

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