Abstract
The Kyoto Protocol and the European Energy Performance of Buildings Directive put an onus on governments and organisations to lower carbon footprint in order to contribute towards reducing global warming. A key parameter to be considered in buildings towards energy and cost savings is its indoor lighting that has a major impact on overall energy usage and Carbon Dioxide emissions. Lighting control in buildings using Passive Infrared sensors is a reliable and well established approach; however, the use of only Passive Infrared does not offer much savings towards reducing carbon, energy, and cost. Accurate occupancy monitoring information can greatly affect a building's lighting control strategy towards a greener usage. This paper presents an approach for data fusion of Passive Infrared sensors and passive Radio Frequency Identification (RFID) based occupancy monitoring. The idea is to have efficient, need-based, and reliable control of lighting towards a green indoor environment, all while considering visual comfort of occupants. The proposed approach provides an estimated 13% electrical energy savings in one open-plan office of a University building in one working day. Practical implementation of RFID gateways provide real-world occupancy profiling data to be fused with Passive Infrared sensing towards analysis and improvement of building lighting usage and control.