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Effectiveness of using WiFi technologies to detect and predict building occupancy

Ouf, Mohamed M., Issa, Mohamed H., Azzouz, Afaf and Sadick, Abdul-Manan 2017, Effectiveness of using WiFi technologies to detect and predict building occupancy, Sustainable buildings, vol. 2, pp. 1-10, doi: 10.1051/sbuild/2017005.

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Title Effectiveness of using WiFi technologies to detect and predict building occupancy
Author(s) Ouf, Mohamed M.
Issa, Mohamed H.
Azzouz, Afaf
Sadick, Abdul-MananORCID iD for Sadick, Abdul-Manan orcid.org/0000-0001-5203-3929
Journal name Sustainable buildings
Volume number 2
Article ID 7
Start page 1
End page 10
Total pages 10
Publisher EDP Sciences
Place of publication London, Eng.
Publication date 2017
ISSN 2492-6035
Keyword(s) buildings energy management
occupancy and energy consumption
smart buildings systems
green buildings
sensor-based HVAC systems
Summary This paper presents findings of a case-study demonstrating the effectiveness of using WiFi networks to detect occupancy as opposed to CO2 sensors, commonly used for demand-controlled heating, ventilation and air conditioning (HVAC) systems. The study took place in one building at the University of Manitoba Fort Garry campus in Canada. In a classroom, the number of WiFi connections was collected on an hourly basis over one-week, simultaneously with CO2 concentration levels at 10-min intervals. The number of occupants in this classroom was also counted on an hourly basis over the same study period. Data analysis showed that WiFi counts predicted actual occupancy levels more accurately than CO2 concentration levels, thus validating the use of this technology to track occupancy. This study was the first to use both CO2 concentration and WiFi counts simultaneously as indicators for occupancy. Results demonstrated the possibility of using WiFi counts in large buildings for controlling HVAC systems at a higher accuracy and lower cost than other sensor technologies.
Language eng
DOI 10.1051/sbuild/2017005
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, M.M. Ouf et al.
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30114420

Document type: Journal Article
Collections: School of Architecture and Built Environment
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.