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Cited by 570

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Occupancy-driven energy management for smart building automation

Agarwal, Yuvraj, Balaji, Bharathan, Gupta, Rajesh, Lyles, Jacob, Wei, Michael, Weng, Thomas·2010·Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building

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.

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Metadata

Authors
Agarwal, Y., Balaji, B., Gupta, R., Lyles, J., Wei, M., & Weng, T.
Venue
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
Publisher
ACM
Published
2010-11-02
Pages
1-6
OpenAlex
W1972440681
Cited by
570
References
0
FWCI
71.98
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Occupancy-driven energy management for smart building automation. https://app.cochat.ai/papers/10.1145/1878431.1878433
The paper
Agarwal, Y., Balaji, B., Gupta, R., Lyles, J., Wei, M., & Weng, T. (2010). Occupancy-driven energy management for smart building automation. Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building. https://doi.org/10.1145/1878431.1878433

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.