2019
DOI: 10.1177/1420326x19856045
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A study on the stack effect of a super high-rise residential building in a severe cold region in China

Abstract: A recent trend in China has seen super high-rise residential buildings spreading to severe cold regions. These buildings face tough challenges concerning building energy consumption and the thermal environment due to their stack effect. The stack effect is greatly influenced by air infiltration, but current guidance on component airtightness is often neither specific nor consistent for different buildings. This paper presents field measurements and numerical simulations of airtightness performance and stack pr… Show more

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Cited by 12 publications
(6 citation statements)
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References 30 publications
(55 reference statements)
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“…Deep learning methods such as CNN will be further studied in the future. (6) As is well known, there is no universal best method. In this study, only machine learning algorithms were used to identify the opening and closing of the air-door in a mine.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Deep learning methods such as CNN will be further studied in the future. (6) As is well known, there is no universal best method. In this study, only machine learning algorithms were used to identify the opening and closing of the air-door in a mine.…”
Section: Discussionmentioning
confidence: 99%
“…Air flow turbulence during the air-door opening and closing process can cause abnormal fluctuations in the wind-velocity sensor data in the associated roadway, resulting in false alarms from the wind-velocity sensors [2,3]. Thus, the opening and closing of an air-door in a mine is as important as a door opening and closing in a building for fire prevention and control [4][5][6]. Therefore, timely identification of the opening and closing of the air-door is critical.…”
Section: Introductionmentioning
confidence: 99%
“…To explore the effect of architectural factors on the CO2 concentration in classrooms, the modelling approach was implemented using the CONTAM software, which can accurately predict pollutant concentration and ventilation performance in buildings (Moschetti and Carlucci 2017;Silva et al 2016). This software is widely used in research related to ventilation, smoke control and the effect of chimneys in residential and commercial buildings (Man et al 2019;Ng et al 2012). A typical multizone model calculates the transmission of airflow and pollutants between different zones in a building or between the indoors and outdoors (Chen 2009).…”
Section: Modelling Approach 221 Model Setupmentioning
confidence: 99%
“…31,32 However, wind force asserted on the building could distort the distribution of pressure profile of the building and affect the pattern of indoor airflow. 33 As such, the effectiveness of natural ventilation is sensitive to changes in window positions and building orientations, 34,35 and choosing the right window positions and building orientation could positively impact the level of indoor natural ventilation. 31,35,36 Therefore, it is vital to study the relationship among the different shapes of obstacles or buildings and incident wind angles to identify their effects on the distribution of wind velocities in the wakes and air pressure on leeward surfaces of buildings.…”
Section: Introductionmentioning
confidence: 99%