Buildings are one of the major energy consumers because of the need to meet occupants’ requirements. The commercial/institutional sector accounted for 14% of total energy consumption in Canada in 2009 while office buildings consumed 35% of this amount. Auxiliary equipment used 19% of the total energy consumed in office buildings. Previous studies showed the impact of occupancy behavior on IT equipment energy consumption. This thesis proposes a new method for monitoring occupancy behavior and energy consumption of IT equipment. Two wireless sensor technologies are investigated to collect the required data and to build an occupancy behavior estimation profile: Ultra-Wideband Real-Time Location System for occupancy location monitoring and ZigBee wireless energy meters for monitoring the energy consumption of IT equipment. The occupancy monitoring data gained from the UWB are used to create the occupants’ hourly profile. The occupancy profile based on short-time monitoring can be used to simulate long-term energy consumption. In conclusion, the comparison between the results shows up to 11% and 24% saving for heating loads and cooling loads, respectively. The proposed method profiles also resulted in up to 65% and 78% reduction for lighting and IT equipment energy consumption in the office, respectively. Therefore, dynamic occupancy driven profiles will reduce the energy consumption.
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