CFD modeling of snowdrift around a building: An overview of models and evaluation of a new approach

Tominaga, Yoshihide; Okaze, Tsubasa; Mochida, Akashi

doi:10.1016/j.buildenv.2010.10.020

Cited by 125 publications

(44 citation statements)

References 39 publications

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“…Second-order discretisation schemes are used for both the convection terms and the viscous terms of the governing equations. In order to assess the convergence of the solution, both the scaled residuals and the streamwise wind speed in selected points of the domain were monitored as a function of the number of iterations, in accordance to the guidelines by Franke et al [13] and Tominaga et al [14]. Convergence was obtained when the scaled residuals levelled off and reached a minimum of 10 -6 for x-, y-, z-velocity, k and ɛ and 10 -4 for continuity.…”

Section: Cfd Simulations: Settings and Parametersmentioning

confidence: 99%

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CFD modelling and PIV experimental validation of flow fields in urban environments

2017

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Abstract. The problem of flow field in the urban boundary-layer (UBL) in aspects of wind comfort around buildings and pollutant dispersion has grown in importance since human activity has become so intense that it started to have considerable impact on environment. The issue of wind comfort in urban areas is the result of complex interactions of many flow phenomena and for a long time it arouses a great interest of the research centres. The aim of article is to study urban atmospheric flow at the local scale, which allows for both a detailed reproduction of the flow phenomena and the development of wind comfort criteria. The proposed methodology involves the use of PIV wind tunnel experiments as well as numerical simulations (Computational Fluid Dynamics, CFD) in order to enhance understanding of the flow phenomena at this particular scale in urban environments. The analysis has been performed for the 3D case of two surface-mounted buildings arranged in tandem, which were placed with one face normal to the oncoming flow. The local characteristics of flow were obtained by the use of commercial CFD code (ANSYS Fluent). The validation was carried out with reference to the PIV results.

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Section: Cfd Simulations: Settings and Parametersmentioning

confidence: 99%

“…The dimensions of the computational domain were determined based on the best practice guidelines ( [13,14]). The upstream distance between inlet plane and windward building facade is 7.5D, while the downstream distance between leeward building facade and outlet plane is 29D.…”

Section: Cfd Simulations: Settings and Parametersmentioning

confidence: 99%

CFD modelling and PIV experimental validation of flow fields in urban environments

2017

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“…Carmeliet 2004, 2010), snow drift (e.g. Tominaga et al 2011), urban thermal environment (e.g. Toparlar et al 2015), wind energy resource assessment (e.g.…”

Section: Introductionmentioning

confidence: 99%

CFD simulation of wind flow over natural complex terrain: Case study with validation by field measurements for Ria de Ferrol, Galicia, Spain

Blocken

Hout

Dekker

et al. 2015

Journal of Wind Engineering and Industrial Aerodynamics

137

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“…Figure 2.4.8 to the right shows the snow depth development obtained from this experiment at three different time steps (Yoshihide Tominaga, 2010).…”

Section: Validation Experimentsmentioning

confidence: 99%

“…Where: D i = Diameter of particles = density of air = density of particle (ice) C D = drag coefficient g = acceleration due to gravity Tominaga et al states that it is difficult to estimate a value for the diameter and density of the particles, as snowflakes are highly irregular in shape and size (Yoshihide Tominaga, 2010). After looking at results from previous studies, Tominaga et al found that if density and diameter were considered to be uniform, the settling velocity could be assumed to be equal to the terminal settling velocity, which can be given as a constant value of 0.2 m/s.…”

Section: Previous Work Completedmentioning

confidence: 99%

Simulate and test different tent arrangements in windy and snowy conditions

Younger¹

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Simulating drifting snow is very difficult due to the way in which it accumulates over time. Snow drifts pose a real threat to Antarctic researchers who get stranded in the open with nothing but a lightweight tent to protect them during a blizzard. This report focusses on implementing snow into a CFD simulation to predict where the snow will build-up around a tent. Scaled down wind tunnel experiments using borax as a snow simulator were performed to validate the solution given by the simulation. The theory behind drifting snow will be discussed and how to use the tools available in CFD solvers to correctly model the build-up. The results will be compared against the experimental data and a verdict on the validity of the solution will be made.

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CFD modeling of snowdrift around a building: An overview of models and evaluation of a new approach

Cited by 125 publications

References 39 publications

CFD modelling and PIV experimental validation of flow fields in urban environments

CFD modelling and PIV experimental validation of flow fields in urban environments

CFD simulation of wind flow over natural complex terrain: Case study with validation by field measurements for Ria de Ferrol, Galicia, Spain

Simulate and test different tent arrangements in windy and snowy conditions

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