Assessing occupants' energy load variation through existing wireless network infrastructure in commercial and educational buildings
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 540-549 |
Journal / Publication | Energy and Buildings |
Volume | 82 |
Online published | 2 Aug 2014 |
Publication status | Published - Oct 2014 |
Link(s)
Abstract
Providing energy-consumption feedback has proven to be an effective approach for changing people's behavior and has led to significant energy-consumption reductions in residential buildings. However, providing feedback in commercial and educational buildings is challenging because of the difficulty in tracking occupants' behaviors and their corresponding energy usage - especially for temporary occupants. To make providing such feedback possible in commercial and educational buildings, this paper presents the framework for a coupled system that uses residents' wireless devices' Wi-Fi connection and disconnection events to detect occupancy and then benchmarks energy loads against these events to monitor the energy use of occupants. A preliminary experiment implemented the proposed approach in a small-scale educational building to ascertain whether Wi-Fi network connection/disconnection events can be an effective indicator of energy load variation. The experiment's results confirmed the positive relationship between the Wi-Fi connection events and energy load increase; these results also indicated that the number of Wi-Fi connections cannot directly represent the magnitude of the energy load. A validation test was also conducted to assess the robustness of the coupled system in terms of the impact of users' schedules (AM/PM), their length of stay (long-term/temporary), and the locations of access points. © 2014 Elsevier B.V. All rights reserved.
Research Area(s)
- Commercial and educational buildings, Energy efficiency, Energy load variation, Feedback, Wi-Fi network
Citation Format(s)
Assessing occupants' energy load variation through existing wireless network infrastructure in commercial and educational buildings. / Chen, Jiayu; Ahn, Changbum.
In: Energy and Buildings, Vol. 82, 10.2014, p. 540-549.
In: Energy and Buildings, Vol. 82, 10.2014, p. 540-549.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review