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Inclusion of window opening habits in a window model based on activity and occupancy patterns

Silke Verbruggen (UGent) , Marc Delghust (UGent) , Jelle Laverge (UGent) and Arnold Janssens (UGent)
Author
Organization
Abstract
The occupants’ window opening behaviour can have a substantial influence on the indoor climate and the energy use in low energy dwellings. In literature, most window opening models are based on outdoor and/or indoor climate variables. However a study of Verbruggen et al. [1] revealed that these models are not able to predict the window opening behaviour accurately in wintertime, which may be attributed to the presence of window opening habits. The occupants perform the habits not according to a fixed time step but rather to the performance of a reoccurring activity or an occupancy change. Therefore, a window opening model is generated based on the occupancy and activity patterns of the inhabitants. The model links certain behaviours to specific activities or moments in an occupant’s day without relating it to an exact time-step or specific weather conditions. Data on these habits and the links with occupancy are acquired from a survey conducted in a NZEB case-study project in Belgium. This paper includes the results of the habit-survey and explains how the window use model based on habits is generated. Based on the answers from the survey the window use in bedrooms and bathrooms could be fully defined for 93% of the households, only in the living room no complete window use profile could be defined. The developed model is able to predict the window use in a more realistic way compared to weather-models, with window opening actions linked to specific moments in the occupant’s day.
Keywords
Window use, Occupant behaviour, residential energy use

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MLA
Verbruggen, Silke, et al. “Inclusion of Window Opening Habits in a Window Model Based on Activity and Occupancy Patterns.” CLIMA 2019 Congress, edited by S.I Tanabe et al., vol. 111, EDP Sciences, 2019.
APA
Verbruggen, S., Delghust, M., Laverge, J., & Janssens, A. (2019). Inclusion of window opening habits in a window model based on activity and occupancy patterns. In S. . Tanabe, H. Zhang, J. Kurnitski, M. C. Gameiro da Silva, I. Nastase, P. Wargocki, … C. Inard (Eds.), CLIMA 2019 Congress (Vol. 111). Bucharest, Romania: EDP Sciences.
Chicago author-date
Verbruggen, Silke, Marc Delghust, Jelle Laverge, and Arnold Janssens. 2019. “Inclusion of Window Opening Habits in a Window Model Based on Activity and Occupancy Patterns.” In CLIMA 2019 Congress, edited by S.I Tanabe, H. Zhang, J. Kurnitski, M.C. Gameiro da Silva, I. Nastase, P. Wargocki, G. Cao, L. Mazzarela, and C. Inard. Vol. 111. EDP Sciences.
Chicago author-date (all authors)
Verbruggen, Silke, Marc Delghust, Jelle Laverge, and Arnold Janssens. 2019. “Inclusion of Window Opening Habits in a Window Model Based on Activity and Occupancy Patterns.” In CLIMA 2019 Congress, ed by. S.I Tanabe, H. Zhang, J. Kurnitski, M.C. Gameiro da Silva, I. Nastase, P. Wargocki, G. Cao, L. Mazzarela, and C. Inard. Vol. 111. EDP Sciences.
Vancouver
1.
Verbruggen S, Delghust M, Laverge J, Janssens A. Inclusion of window opening habits in a window model based on activity and occupancy patterns. In: Tanabe S., Zhang H, Kurnitski J, Gameiro da Silva MC, Nastase I, Wargocki P, et al., editors. CLIMA 2019 Congress. EDP Sciences; 2019.
IEEE
[1]
S. Verbruggen, M. Delghust, J. Laverge, and A. Janssens, “Inclusion of window opening habits in a window model based on activity and occupancy patterns,” in CLIMA 2019 Congress, Bucharest, Romania, 2019, vol. 111.
@inproceedings{8647741,
  abstract     = {The occupants’ window opening behaviour can have a substantial influence on the indoor climate and the energy use in low energy dwellings. In literature, most window opening models are based on outdoor and/or indoor climate variables. However a study of Verbruggen et al. [1] revealed that these models are not able to predict the window opening behaviour accurately in wintertime, which may be attributed to the presence of window opening habits. The occupants perform the habits not according to a fixed time step but rather to the performance of a reoccurring activity or an occupancy change. Therefore, a window opening model is generated based on the occupancy and activity patterns of the inhabitants. The model links certain behaviours to specific activities or moments in an occupant’s day without relating it to an exact time-step or specific weather conditions. Data on these habits and the links with occupancy are acquired from a survey conducted in a NZEB case-study project in Belgium. This paper includes the results of the habit-survey and explains how the window use model based on habits is generated. Based on the answers from the survey the window use in bedrooms and bathrooms could be fully defined for 93% of the households, only in the living room no complete window use profile could be defined. The developed model is able to predict the window use in a more realistic way compared to weather-models, with window opening actions linked to specific moments in the occupant’s day.},
  articleno    = {04058},
  author       = {Verbruggen, Silke and Delghust, Marc and Laverge, Jelle and Janssens, Arnold},
  booktitle    = {CLIMA 2019 Congress},
  editor       = {Tanabe, S.I and Zhang, H. and Kurnitski, J. and Gameiro da Silva, M.C. and Nastase, I. and Wargocki, P. and Cao, G. and Mazzarela, L. and Inard, C.},
  issn         = {2267-1242},
  keywords     = {Window use,Occupant behaviour,residential energy use},
  language     = {eng},
  location     = {Bucharest, Romania},
  pages        = {8},
  publisher    = {EDP Sciences},
  title        = {Inclusion of window opening habits in a window model based on activity and occupancy patterns},
  url          = {http://dx.doi.org/10.1051/e3sconf/201911104058},
  volume       = {111},
  year         = {2019},
}

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