Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Camera-based window-opening estimation in a naturally ventilated office
AU - Bourikas, Leonidas
AU - Costanza, Enrico
AU - Gauthier, Stephanie
AU - James, Patrick
AU - Kittley-Davies, Jacob
AU - Ornaghi, Carmine
AU - Rogers, Alexander
AU - Saadatian, Elham
AU - Huang, Yitong
PY - 2016/10/28
Y1 - 2016/10/28
N2 - Naturally ventilated offices enable users to control their environment through the opening of windows. Whilst this level of control is welcomed by users it creates risk in terms of energy performance, especially during the heating season. In older office buildings, facilities managers usually obtain energy information at the building level. They are often unaware or unable to respond to non-ideal facade interaction by users often as a result of poor environmental control provision. In the summer months, this may mean poor use of free cooling opportunities, whereas in the winter, space heating may be wasteful. This paper describes a low cost, camera based system to automatically diagnose the status of each window (open or closed) in a facade. The system is shown to achieve a window status prediction accuracy level of 90%-97% across both winter and summer test periods in a case study building. A number of limitations are discussed including winter daylight hours, impact of rain and the use of fixed camera locations and how these may be addressed. Options to use this window opening information to engage with office users are explored.
AB - Naturally ventilated offices enable users to control their environment through the opening of windows. Whilst this level of control is welcomed by users it creates risk in terms of energy performance, especially during the heating season. In older office buildings, facilities managers usually obtain energy information at the building level. They are often unaware or unable to respond to non-ideal facade interaction by users often as a result of poor environmental control provision. In the summer months, this may mean poor use of free cooling opportunities, whereas in the winter, space heating may be wasteful. This paper describes a low cost, camera based system to automatically diagnose the status of each window (open or closed) in a facade. The system is shown to achieve a window status prediction accuracy level of 90%-97% across both winter and summer test periods in a case study building. A number of limitations are discussed including winter daylight hours, impact of rain and the use of fixed camera locations and how these may be addressed. Options to use this window opening information to engage with office users are explored.
U2 - 10.1080/09613218.2016.1245951
DO - 10.1080/09613218.2016.1245951
M3 - Journal article
VL - 46
SP - 148
EP - 163
JO - Building Research & Information
JF - Building Research & Information
SN - 0961-3218
IS - 2
ER -