Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Window opening behavior of occupants in residential buildings in Beijing
https://orcid.org/0000-0003-1325-6091
AbstractWindow opening behavior has a vital influence on indoor air quality, thermal comfort, and energy consumption. In residential buildings, the window opening behavior of occupants may vary considerably owing to different indoor and outdoor environmental parameters and personal habits. In this study, we investigated the factors influencing the window opening behavior of occupants in 19 residences in Beijing by monitoring the open/closed status of windows, and eight environmental parameters, including temperature and relative humidity of indoor and outdoor air, indoor CO2 concentration, outdoor PM2.5 concentration, and outdoor wind speed and direction. The influence of the season and time of day was also analyzed, and typical window operation schedules were determined. Predictive models of the occupants' window opening behavior were established based on multivariate linear logistic regression. The results indicated that outdoor air temperature was the most influential factor, followed by indoor CO2 concentration, indoor air temperature, outdoor and indoor relative humidity, ambient PM2.5 concentrations, and outdoor wind direction and wind speed.
HighlightsWindow states were monitored in 19 residences in Beijing over 4 seasons.Typical daily window opening and closing schedules were fitted.The schedules provide key parameters for energy consumption and IAQ assessment.Stochastic models of occupants' window opening behavior were established.
Window opening behavior of occupants in residential buildings in Beijing
https://orcid.org/0000-0003-1325-6091
AbstractWindow opening behavior has a vital influence on indoor air quality, thermal comfort, and energy consumption. In residential buildings, the window opening behavior of occupants may vary considerably owing to different indoor and outdoor environmental parameters and personal habits. In this study, we investigated the factors influencing the window opening behavior of occupants in 19 residences in Beijing by monitoring the open/closed status of windows, and eight environmental parameters, including temperature and relative humidity of indoor and outdoor air, indoor CO2 concentration, outdoor PM2.5 concentration, and outdoor wind speed and direction. The influence of the season and time of day was also analyzed, and typical window operation schedules were determined. Predictive models of the occupants' window opening behavior were established based on multivariate linear logistic regression. The results indicated that outdoor air temperature was the most influential factor, followed by indoor CO2 concentration, indoor air temperature, outdoor and indoor relative humidity, ambient PM2.5 concentrations, and outdoor wind direction and wind speed.
HighlightsWindow states were monitored in 19 residences in Beijing over 4 seasons.Typical daily window opening and closing schedules were fitted.The schedules provide key parameters for energy consumption and IAQ assessment.Stochastic models of occupants' window opening behavior were established.
Window opening behavior of occupants in residential buildings in Beijing
https://orcid.org/0000-0003-1325-6091
AbstractWindow opening behavior has a vital influence on indoor air quality, thermal comfort, and energy consumption. In residential buildings, the window opening behavior of occupants may vary considerably owing to different indoor and outdoor environmental parameters and personal habits. In this study, we investigated the factors influencing the window opening behavior of occupants in 19 residences in Beijing by monitoring the open/closed status of windows, and eight environmental parameters, including temperature and relative humidity of indoor and outdoor air, indoor CO2 concentration, outdoor PM2.5 concentration, and outdoor wind speed and direction. The influence of the season and time of day was also analyzed, and typical window operation schedules were determined. Predictive models of the occupants' window opening behavior were established based on multivariate linear logistic regression. The results indicated that outdoor air temperature was the most influential factor, followed by indoor CO2 concentration, indoor air temperature, outdoor and indoor relative humidity, ambient PM2.5 concentrations, and outdoor wind direction and wind speed.
HighlightsWindow states were monitored in 19 residences in Beijing over 4 seasons.Typical daily window opening and closing schedules were fitted.The schedules provide key parameters for energy consumption and IAQ assessment.Stochastic models of occupants' window opening behavior were established.
Window opening behavior of occupants in residential buildings in Beijing
Yao, Mingyao (Autor:in) / Zhao, Bin (Autor:in)
Building and Environment ; 124 ; 441-449
17.08.2017
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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