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Camera-based window-opening estimation in a naturally ventilated office

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Camera-based window-opening estimation in a naturally ventilated office. / Bourikas, Leonidas; Costanza, Enrico; Gauthier, Stephanie; James, Patrick; Kittley-Davies, Jacob; Ornaghi, Carmine; Rogers, Alexander; Saadatian, Elham; Huang, Yitong.

In: Building Research & Information, Vol. 46, No. 2, 28.10.2016, p. 148-163.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Bourikas, L, Costanza, E, Gauthier, S, James, P, Kittley-Davies, J, Ornaghi, C, Rogers, A, Saadatian, E & Huang, Y 2016, 'Camera-based window-opening estimation in a naturally ventilated office', Building Research & Information, vol. 46, no. 2, pp. 148-163. https://doi.org/10.1080/09613218.2016.1245951

APA

Bourikas, L., Costanza, E., Gauthier, S., James, P., Kittley-Davies, J., Ornaghi, C., Rogers, A., Saadatian, E., & Huang, Y. (2016). Camera-based window-opening estimation in a naturally ventilated office. Building Research & Information, 46(2), 148-163. https://doi.org/10.1080/09613218.2016.1245951

Vancouver

Bourikas L, Costanza E, Gauthier S, James P, Kittley-Davies J, Ornaghi C et al. Camera-based window-opening estimation in a naturally ventilated office. Building Research & Information. 2016 Oct 28;46(2):148-163. https://doi.org/10.1080/09613218.2016.1245951

Author

Bourikas, Leonidas ; Costanza, Enrico ; Gauthier, Stephanie ; James, Patrick ; Kittley-Davies, Jacob ; Ornaghi, Carmine ; Rogers, Alexander ; Saadatian, Elham ; Huang, Yitong. / Camera-based window-opening estimation in a naturally ventilated office. In: Building Research & Information. 2016 ; Vol. 46, No. 2. pp. 148-163.

Bibtex

@article{a656d07817314c71ae36910f8a732cfa,
title = "Camera-based window-opening estimation in a naturally ventilated office",
abstract = "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.",
author = "Leonidas Bourikas and Enrico Costanza and Stephanie Gauthier and Patrick James and Jacob Kittley-Davies and Carmine Ornaghi and Alexander Rogers and Elham Saadatian and Yitong Huang",
year = "2016",
month = oct,
day = "28",
doi = "10.1080/09613218.2016.1245951",
language = "English",
volume = "46",
pages = "148--163",
journal = "Building Research and Information",
issn = "0961-3218",
publisher = "TAYLOR & FRANCIS LTD",
number = "2",

}

RIS

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 and Information

JF - Building Research and Information

SN - 0961-3218

IS - 2

ER -