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Towards Building Occupants Positioning: Track and Trace for Optimal Process Control
Abstract
Building occupancy information is a crucial factor that should be considered in the control strategy of
building operations for improved energy efficiency and occupant comfort. As occupancy is stochastic and
challenging to measure, a number of real-time occupancy detection systems comprising multiple sensors
within a wireless network (WSN) using technologies such as radio frequency identification (RFID) and WIFI
enabled devices have been proposed for use in large commercial office buildings. However due to high
deployment cost and need for management of additional infrastructure for these systems, its application in
demand driven control of heating, ventilation and air conditioning (HVAC) is limited notwithstanding the
accruable worthwhile energy saving potentials. In this paper, some of this new technologies are briefly
discussed and compared with opportunistic implicit building infrastructures which can be exploited for realtime
demand driven HVAC control based on the application of the Kesselring decision support method.
Citation
Zeiler, W.; Labeodan, T.; Bozem, G.; Maaijen, R. (2013). Towards Building Occupants Positioning: Track and Trace for Optimal Process Control. Energy Systems Laboratory (http://esl.tamu.edu); Texas A&M University (http://www.tamu.edu). Available electronically from https : / /hdl .handle .net /1969 .1 /151461.