A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Assessing occupants’ energy load variation through existing wireless network infrastructure in commercial and educational buildings
https://orcid.org/0000-0002-6376-8127
https://orcid.org/0000-0002-6733-2216
Highlights We examine the validity of Wi-Fi events as an indicator of energy load changes. The Wi-Fi connection events have a positive relationship with energy load increase. The number of Wi-Fi connections has no direct correlation to building energy load.
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.
Assessing occupants’ energy load variation through existing wireless network infrastructure in commercial and educational buildings
https://orcid.org/0000-0002-6376-8127
https://orcid.org/0000-0002-6733-2216
Highlights We examine the validity of Wi-Fi events as an indicator of energy load changes. The Wi-Fi connection events have a positive relationship with energy load increase. The number of Wi-Fi connections has no direct correlation to building energy load.
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.
Assessing occupants’ energy load variation through existing wireless network infrastructure in commercial and educational buildings
https://orcid.org/0000-0002-6376-8127
https://orcid.org/0000-0002-6733-2216
Highlights We examine the validity of Wi-Fi events as an indicator of energy load changes. The Wi-Fi connection events have a positive relationship with energy load increase. The number of Wi-Fi connections has no direct correlation to building energy load.
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.
Assessing occupants’ energy load variation through existing wireless network infrastructure in commercial and educational buildings
Chen, Jiayu (author) / Ahn, Changbum (author)
Energy and Buildings ; 82 ; 540-549
2014-07-24
10 pages
Article (Journal)
Electronic Resource
English
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