Assessing Occupants' Energy-load Variation in Commercial and Educational Buildings : Occupancy Detecting Approach Based on Existing Wireless Network Infrastructure
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Detail(s)
Original language | English |
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Title of host publication | Construction Research Congress 2014 |
Subtitle of host publication | Construction in a Global Network |
Editors | Daniel Castro-Lacouture, Javier Irizarry, Baabak Ashuri |
Publisher | American Society of Civil Engineers |
Pages | 594-603 |
ISBN (print) | 9780784413517 |
Publication status | Published - May 2014 |
Externally published | Yes |
Conference
Title | 2014 Construction Research Congress: Construction in a Global Network (CRC2014) |
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Location | Georgia Tech Student Center |
Place | United States |
City | Atlanta, GA |
Period | 19 - 21 May 2014 |
Link(s)
Abstract
Providing energy-consumption feedback has the potential to change people's behavior, a reality that has led to significant energy-usage reductions in residential buildings. However, it is challenging to provide feedback in commercial and educational buildings, because it is difficult to track 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 a coupled system that monitors the energy load for occupants who have wi-fi-enabled devices. The system benchmarks energy loads using an energy monitoring system that simultaneously detects occupancy and roughly estimates the residents' location through Wi-Fi access points. A preliminary experiment was conducted in an educational building to illustrate the data processing procedure and to test the validity of the system. The experiment results suggest that the event of wireless connection is a valid indication of energy load variation. The proposed system is the prototype of a coupled system that, in the future, will be able to estimate an individual's energy load through an indoor positioning system and, in turn, provide corresponding energy-consumption feedback.
Research Area(s)
Citation Format(s)
Assessing Occupants' Energy-load Variation in Commercial and Educational Buildings: Occupancy Detecting Approach Based on Existing Wireless Network Infrastructure. / Chen, Jiayu; Ahn, Changbum.
Construction Research Congress 2014: Construction in a Global Network. ed. / Daniel Castro-Lacouture; Javier Irizarry; Baabak Ashuri. American Society of Civil Engineers, 2014. p. 594-603.
Construction Research Congress 2014: Construction in a Global Network. ed. / Daniel Castro-Lacouture; Javier Irizarry; Baabak Ashuri. American Society of Civil Engineers, 2014. p. 594-603.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review