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Assessing occupants' energy load variation through existing wireless network infrastructure in commercial and educational buildings
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chen, Jiayu | - |
dc.contributor.author | Ahn, Changbum | - |
dc.date.accessioned | 2024-05-17T08:04:58Z | - |
dc.date.available | 2024-05-17T08:04:58Z | - |
dc.date.created | 2024-05-16 | - |
dc.date.created | 2024-05-16 | - |
dc.date.issued | 2014-10 | - |
dc.identifier.citation | Energy and Buildings, Vol.82, pp.540-549 | - |
dc.identifier.issn | 0378-7788 | - |
dc.identifier.uri | https://hdl.handle.net/10371/203296 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.publisher | Elsevier BV | - |
dc.title | Assessing occupants' energy load variation through existing wireless network infrastructure in commercial and educational buildings | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.enbuild.2014.07.053 | - |
dc.citation.journaltitle | Energy and Buildings | - |
dc.identifier.wosid | 000343781400053 | - |
dc.identifier.scopusid | 2-s2.0-84906487523 | - |
dc.citation.endpage | 549 | - |
dc.citation.startpage | 540 | - |
dc.citation.volume | 82 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Ahn, Changbum | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordPlus | ELECTRICITY CONSUMPTION | - |
dc.subject.keywordPlus | ECO-FEEDBACK | - |
dc.subject.keywordPlus | INFORMATION | - |
dc.subject.keywordPlus | IMPACT | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordAuthor | Energy efficiency | - |
dc.subject.keywordAuthor | Energy load variation | - |
dc.subject.keywordAuthor | Wi-Fi network | - |
dc.subject.keywordAuthor | Feedback | - |
dc.subject.keywordAuthor | Commercial and educational buildings | - |
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- College of Engineering
- Department of Architecture & Architectural Engineering
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