Occupant behavior regarding the manual control of windows in residential buildings

Jeong, Bongchan; Jeong, Jae‐Weon; Park, J.S.

doi:10.1016/j.enbuild.2016.05.097

Cited by 100 publications

(67 citation statements)

References 17 publications

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“…The occupants' window opening behaviors play a decisive role on the natural ventilation performance and significantly influence the airborne infection risk and indoor air quality (IAQ) [8], as well as the energy consumption for air-conditioning systems [9][10][11]. Many factors are known to influence the window opening behaviors, including thermal-driven factors, time-related factors, environmentdriven factors, psychological factors and other uncertain factors [12][13][14][15][16][17][18][19][20][21][22][23][24][25]34,35]. Thermal-driven factors, including outdoor climate conditions, indoor air temperature and relative humidity, occupants' number, clothing condition, gender, etc., are recognized as the most important driving factors in many previous studies [12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Seasonal variation of window opening behaviors in two naturally ventilated hospital wards

Shi

Qian

Zheng

et al. 2018

Building and Environment

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A B S T R A C TNatural ventilation enables personal control, and occupant behaviors in window opening play a decisive role on natural ventilation performance, indoor air quality (IAQ), and/or airborne infection risk in a hospital setting. The occupant behaviors differ significantly from different building types with different functions and living habits. Based on a one-year field measurement in two general hospital wards in Nanjing, China, the effects of air quality (i.e. indoor CO 2 concentration and outdoor PM 2.5 concentration) and the climatic parameters (i.e. indoor/outdoor temperature, relative humidity, and outdoor wind speed, wind direction and rainfall) on window opening/closing behaviors are analyzed. Indoor air temperature or relative humidity is found to be a dominant factor for window opening behaviors. Seasonal differences are observed for the different influences of physical factors. The outdoor temperature is found to be associated with the window opening probability negatively during the cooling season, but positively during the transition and heating seasons. The indoor relative humidity positively affects the window opening probability during the transition season while a negative impact appears during the cooling and heating seasons. Based on the seasonal variation of window opening behaviors, Logistic regression models in different seasons (cooling, transition and heating seasons) are developed to predict the window opening/closing state and are verified to be promisingly adaptable with results of accuracy bigger than 70%.

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Section: Introductionmentioning

confidence: 99%

Seasonal variation of window opening behaviors in two naturally ventilated hospital wards

Shi

Qian

Zheng

et al. 2018

Building and Environment

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“…The effect of opening windows was more recently investigated by Jeong et al . 41 and highlighted the role of building occupants seeking to control their own environments. Opening windows is an effective way to control temperature when mechanical ventilation systems are ineffective, inefficient or too expensive.…”

Section: Introductionmentioning

confidence: 99%

US residential building air exchange rates: new perspectives to improve decision making at vapor intrusion sites

Reichman

Shirazi

Colliver

et al. 2017

Environ. Sci.: Processes Impacts

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Vapor intrusion (VI) is well-known to be difficult to characterize because indoor air (IA) concentrations exhibit considerable temporal and spatial variability in homes throughout impacted communities. To overcome this and other limitations, most VI science has focused on subsurface processes; however there is a need to understand the role of aboveground processes, especially building operation, in the context of VI exposure risks. This tutorial review focuses on building air exchange rates (AERs) and provides a review of literature related building AERs to inform decision making at VI sites. Commonly referenced AER values used by VI regulators and practitioners do not account for the variability in AER values that have been published in indoor air quality studies. The information presented herein highlights that seasonal differences, short-term weather conditions, home age and air conditioning status, which are well known to influence AERs, are also likely to influence IA concentrations at VI sites. Results of a 3D VI model in combination with relevant AER values reveal that IA concentrations can vary more than one order of magnitude due to air conditioning status and one order of magnitude due to house age. Collectively, the data presented strongly support the need to consider AERs when making decisions at VI sites.

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“…11 Monitoring of window status was extended to the cooling period in order to grab the whole year pattern, and three sample homes were added in the additional field survey. 11 Monitoring of window status was extended to the cooling period in order to grab the whole year pattern, and three sample homes were added in the additional field survey.…”

Section: Practical Implicationsmentioning

confidence: 99%

“…Jeong et al11 also found that the occupant behavior patterns are time dependent in homes. **P < 0.01.…”

mentioning

confidence: 97%

Modeling occupant behavior of the manual control of windows in residential buildings

Park

Choi

2018

Indoor Air

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Window opening and closing is the most preferred behavior for occupants to control their indoor environment in homes. This study aims to identify driving forces for window opening and closing behavior in the home. The additional field survey was carried out for the cooling period after following the previous study. The state of windows and environmental variables for outdoor and indoor were continuously monitored in 23 sample homes over one year. The monitored data provide evidence that there is a statistically significant relationship between window opening behavior and outdoor temperature. The behavior of the occupant's manual control of windows can be described by seasonal effects, occupancy, and time of day. Indoor stimuli, such as such as temperature, humidity, and CO2, can better account for the window opening behavior than can outdoor stimuli. There are clear differences in driving variables between window opening and closing behavior. The closing behavior is better described when the outdoor and indoor variables are combined. Finally, multivariate logistic regression models were developed to predict typical patterns of window opening and closing as a function of indoor and outdoor variables.

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Occupant behavior regarding the manual control of windows in residential buildings

Cited by 100 publications

References 17 publications

Seasonal variation of window opening behaviors in two naturally ventilated hospital wards

Seasonal variation of window opening behaviors in two naturally ventilated hospital wards

US residential building air exchange rates: new perspectives to improve decision making at vapor intrusion sites

Modeling occupant behavior of the manual control of windows in residential buildings

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