A non-invasive sensing system for decoding occupancy behaviors affecting building energy performance
Conference
Carmenate, TS, Leante, D, Zanlongo, SA et al. (2015). A non-invasive sensing system for decoding occupancy behaviors affecting building energy performance
. 2015-January(January), 263-270. 10.1061/9780784479247.033
Carmenate, TS, Leante, D, Zanlongo, SA et al. (2015). A non-invasive sensing system for decoding occupancy behaviors affecting building energy performance
. 2015-January(January), 263-270. 10.1061/9780784479247.033
Occupancy behaviors have been recognized as a major source of uncertainty in assessment of energy performance in buildings. The limitations in collecting information regarding occupancy behaviors have hindered the ability to fully decode the emergent occupant behaviors affecting the energy performance of buildings. In this paper, we demonstrate our preliminary results related to a novel system for non-invasive tracking of occupancy behaviors. Our analysis will consist of the deployment of a system, consisting of a non-invasive sensor network, to capture the movements of occupants and their behaviors within a residence while recording the information related to the indoor temperature of the location. Utilizing small Infrared sensors, the building's occupant's movements are detected and the occupancy levels are recorded without having to uniquely identify individuals. The proposed system is demonstrated in a case study of a residential home. Data collected from the case study shows the capability of the proposed system in capturing occupancy behaviors using minimal information in a non-invasive and inexpensive fashion. The methodology used an serve as a basis for detecting behaviors that lead to energy waste in buildings. The system implemented has the ability to capture information required to integrate building performance and occupant behaviors towards the realization of smart buildings.
