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Occupancy-driven energy management for smart building automation
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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Cited by
Known unknowns: Indirect energy effects of information and communication technology
Horner, N. C., Shehabi, A., & Azevedo, I. L. (2016) · Environmental Research Letters · doi:10.1088/1748-9326/11/10/103001 · Cited by 177
Survey of Non-Image-Based Approaches for Counting People
Kouyoumdjieva, S. T., Danielis, P., & Karlsson, G. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2902824 · Cited by 61
Design Patterns for Cyber-Physical Systems of Buildings
Kychkin, A., Deryabin, A., Vikentyeva, O., & Shestakova, L. (2021) · Lecture Notes in Information Systems and Organisation · doi:10.1007/978-3-030-71397-3_6
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
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- 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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