Measuring building occupancy using existing network infrastructure

Authors:
R. Melfi;B. Rosenblum;B. Nordman;K. Christensen
Affiliations:
Univ. of South Florida, Tampa, FL, USA;Lawrence Berkeley Nat. Lab., Berkeley, CA, USA;Lawrence Berkeley Nat. Lab., Berkeley, CA, USA;Univ. of South Florida, Tampa, FL, USA
Venue:
IGCC '11 Proceedings of the 2011 International Green Computing Conference and Workshops
Year:
2011

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Abstract

The primary focus of Green IT has been on reducing energy use of the IT infrastructure itself. Additional significant energy savings can be achieved by using the IT infrastructure to enable energy savings in both the IT and non-IT infrastructure. Our premise is that energy can be saved by driving building operation on information gleaned from existing IT infrastructure already installed for non-energy purposes. We call our idea implicit occupancy sensing where existing IT infrastructure can be used to replace and/or supplement traditional dedicated sensors to determine building occupancy. Our implicit sensing methods are largely based on monitoring MAC and IP addresses in routers and wireless access points, and then correlating these addresses to the occupancy of a building, zone, and/or room. Occupancy data can be used to control lighting, HVAC, and other building functions to improve building functionality and reduce energy use. We experimentally evaluate the feasibility of this dual-use of IT infrastructure and assess the accuracy of implicit sensing. Our findings, based on data collected from two facilities, show that there is significant promise in implicit sensing using the existing IT infrastructure present in most modern non-residential buildings.