2018
DOI: 10.1016/j.buildenv.2018.03.051
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CFD investigation on the effects of wind and thermal wall-flow on pollutant transmission in a high-rise building

Abstract: The solar radiation can heat the building outer surface, and then cause the upward natural convection flows adjacent to the wall. This phenomenon is especially obvious on a windless sunny day. The near wall thermal plume can drive gaseous pollutants released from lower floors to upper floors. Combined with the effect of ambient approaching wind, the transmission routes will be very complicated. The paper aims to investigate the airflow patterns and pollutant transmission within a building under the effects of … Show more

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Cited by 43 publications
(19 citation statements)
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“…The symbol (○) indicates the mean value of each data group, and the symbol ( � ) at the top and bottom of the whiskers indicates the maximum and minimum values. ACH * is the dimensionless ventilation rate calculated by ACH * ¼ ACH U ⋅ V AW [27], where U represents the average background wind velocity, V represents the volume of each room, A W represents the window area. Noted that, the estimated ACH * of three tests during phase II (BL2, BL3 and BL4) has been adjusted to subtract the ventilation rate caused by the buoyancy effect (ACH B ) summarized in Table 4.…”
Section: Ventilation Rate Of Source Roomsmentioning
confidence: 99%
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“…The symbol (○) indicates the mean value of each data group, and the symbol ( � ) at the top and bottom of the whiskers indicates the maximum and minimum values. ACH * is the dimensionless ventilation rate calculated by ACH * ¼ ACH U ⋅ V AW [27], where U represents the average background wind velocity, V represents the volume of each room, A W represents the window area. Noted that, the estimated ACH * of three tests during phase II (BL2, BL3 and BL4) has been adjusted to subtract the ventilation rate caused by the buoyancy effect (ACH B ) summarized in Table 4.…”
Section: Ventilation Rate Of Source Roomsmentioning
confidence: 99%
“…CFD simulations were also commonly used to investigate the interunit transmission. A series of numerical studies were conducted to further understand the influential factors of interunit dispersion, including the effects of buoyancy-dominated forces [15,[20][21][22], balconies [10,23,24], surrounding interfering buildings [25,26], and heated walls [27]. Different turbulence models were considered in the airflow and dispersion simulations, including a mean process with an advanced Reynolds-Averaged Navier-Stokes (RANS) model [10,23,25,26] and transient process with an Large-Eddy Simulation (LES) model [24,28].…”
Section: Introductionmentioning
confidence: 99%
“…The impacts of time-dependent dynamics caused by the fluctuating ambient wind on heat and mass transfer were not considered. In addition, it has been reported by Mu et al [23] that the ACH calculations were slightly higher than the tracer gas decay method, while the results approximated those predicted by empirical models [23]. Nevertheless, the calculation of ACH based on the steady flow field from the RANS-based model was still widely used, in view of the desirable computing efficiency and detailed information that can be provided [18,23,52].…”
Section: Effects Of Ambient Wind On Ventilationmentioning
confidence: 98%
“…Compared with large eddy simulation and detached eddy simulation models, the RANS-based modeling approach significantly reduces the required computational power and resources [34,37]. Several studies have successfully employed RANS models to predict indoor and outdoor airflows in windward and leeward conditions [23,39]. The baseline k-ω turbulence model, which is a two-equation eddy-viscosity model, was also found to yield satisfactory accuracy and stability when modeling an indoor airflow [40].…”
Section: Numerical Modelmentioning
confidence: 99%
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