Measuring Building Occupancy Using Existing Network.pdfVIP

Measuring Building Occupancy Using Existing Network Infrastructure 1 2 2 1 Ryan Melfi , Ben Rosenblum , Bruce Nordman , and Ken Christensen 1University of South Florida, Tampa, Florida, USA, rmelfi@, christen@, 2Lawrence Berkeley National Laboratory, Berkeley, California, USA, brosenblum@, bnordman@ Abstract—The primary focus of Green IT has been on reducing installation (often unrecognized), and lack of networking energy use of the IT infrastructure itself. Additional significant capabilities for data collection. In [19] is has been shown that energy savings can be achieved by using the IT infrastructure energy savings from using PIR sensors to control lights can to enable energy savings in both the IT and non-IT vary from 10% to 45% depending on the type of room and infrastructure. Our premise is that energy can be saved by the detector settings. PIR sensors are particularly effective driving building operation on information gleaned from for controlling lighting in infrequently occupied closed existing IT infrastructure already installed for non-energy spaces such as storage rooms, but are ineffective for more purposes. We call our idea implicit occupancy sensing where open layouts such as offices [4, 19]. The lack of existing IT infrastructure can be used to replace and/or communication among these sensors precludes the sharing of supplement traditional dedicated sensors to determine building