Journal Article10.3233/rft-2012-0036
RFID based efficient lighting control
F. Manzoor,David Linton,Michael Loughlin,Karsten Menzel +3 more
- Vol. 4, pp 1-21
TL;DR: RFID-based efficient lighting control system improves energy and cost savings by integrating occupancy monitoring data with Passive Infrared sensors.
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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.
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References
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Smart occupancy sensors to reduce energy consumption
Vishal Garg,N.K. Bansal +1 more
TL;DR: Design of smart occupancy sensors which can adapt to changing activity levels are presented and about 5% more energy can be saved by using smart occupancy sensor as compared to non-adapting fixed TD sensors.
236
Comparison of Control Options in Private Offices in an Advanced Lighting Controls Testbed
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TL;DR: In this paper, results of a survey and questionnaire on energy consumption and thermal environment held in Kansai area, Japan are reported, and the energy savings potential was analyzed for the surveyed 13 houses focusing on certain electrical appliances e.g. TV, rice cooker and refrigerator.
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Modeling Count Data from Multiple Sensors: A Building Occupancy Model
Jon Hutchins,Alexander T. Ihler,Padhraic Smyth +2 more
- 01 Dec 2007
TL;DR: A probabilistic model for predicting the occupancy of a building using networks of people-counting sensors that provides robust predictions given typical sensor noise as well as missing and corrupted data from malfunctioning sensors is described.