Determinants of ventilation behavior in naturally ventilated dwellings: Identification and quantification of relationships

Levie, Deborah; De, Yeatts; Oeffelen, E.C.M. Hoes-van; Hofstetter, Hedwig; Janssen, Sabine A.; Spiekman, M.E.; Koene, F.G.H.

doi:10.1016/j.buildenv.2014.09.008

Cited by 24 publications

(13 citation statements)

References 28 publications

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“…To aid in the selection of representative ventilation parameters when calculating iF in?in , the ventilation rates and air exchange rate data provided here are categorized by country, home type, season, and ventilation system where the available data allow for this (Figures 1a and Supporting Information). Studies characterizing window-opening behavior and/or mechanical ventilation system usage and runtime (e.g., Breen et al, 2014;Chao, 2001;El Orch et al, 2014;Fabi et al, 2012;G oze nski et al, 2014;Iwashita and Akasaka, 1997;Johnson and Long, 2005;Levie et al, 2014;Marr et al, 2012;Persily, 2015;Stephens, 2015;Wallace et al, 2002;US EPA, 2011) provide needed information for accounting for temporal and spatial variability in ventilation conditions. Figure 2a summarizes available residential air exchange rate data, with detailed data provided in the Supporting Information.…”

Section: Building Factorsmentioning

confidence: 99%

Indoor inhalation intake fractions of fine particulate matter: review of influencing factors

et al. 2015

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Exposure to fine particulate matter (PM 2.5 ) is a major contributor to the global human disease burden. The indoor environment is of particular importance when considering the health effects associated with PM 2.5 exposures because people spend the majority of their time indoors and PM 2.5 exposures per unit mass emitted indoors are two to three orders of magnitude larger than exposures to outdoor emissions. Variability in indoor PM 2.5 intake fraction ( ), which is defined as the integrated cumulative intake of PM 2.5 per unit of emission, is driven by a combination of building-specific, human-specific, and pollutant-specific factors. Due to a limited availability of data characterizing these factors, however, indoor emissions and intake of PM 2.5are not commonly considered when evaluating the environmental performance of product life cycles. With the aim of addressing this barrier, a literature review was conducted and data characterizing factors influencing were compiled. In addition to providing data for the calculation of in various indoor environments and for a range geographic regions, this paper discusses remaining limitations to the incorporation of PM 2.5 -derived health impacts into life cycle assessments and makes recommendations regarding future research. Accepted ArticleThis article is protected by copyright. All rights reserved. Practical ImplicationsThis paper reviews and summarizes the factors that influence indoor inhalation intake fraction of fine particulate matter, with a focus on primary particle emissions indoors. It provides valuable data for the calculation of indoor inhalation intake fraction for a range of indoor environments and contributes to the effort to incorporate PM 2.5 -derived health impacts into life cycle assessment.

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Section: Building Factorsmentioning

confidence: 99%

Indoor inhalation intake fractions of fine particulate matter: review of influencing factors

et al. 2015

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“…Shi and Zhao [25] conducted a field study in 8 naturally ventilated residential apartments in Beijing and Nanjing, and found that the window opening probability had different correlation strengths for the same variable in different cities, especially accounted for the outdoor PM 2.5 concentration. Besides, household size, disposable income and ethnicity are all found to be influential factors in residential buildings [33].…”

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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“…Levie et al showed through the questionnaire survey that household characteristics, such as disposable income, house size, age and gender of the occupants, and insulation level, are significantly associated with window opening behavior in residential buildings [19]. Shi et al showed that outdoor temperature is the most important explanatory variable affecting the proportion of windows opened in 8 residential apartments in China [20].…”

Section: Introductionmentioning

confidence: 99%

Occupant behavior regarding the manual control of windows in residential buildings

Jeong

Park

2016

Energy and Buildings

109

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Determinants of ventilation behavior in naturally ventilated dwellings: Identification and quantification of relationships

Cited by 24 publications

References 28 publications

Indoor inhalation intake fractions of fine particulate matter: review of influencing factors

Indoor inhalation intake fractions of fine particulate matter: review of influencing factors

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

Occupant behavior regarding the manual control of windows in residential buildings

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