Consistent boundary conditions for flows within the atmospheric boundary layer

O’Sullivan, John; Archer, Rosalind; Flay, Richard G.J.

doi:10.1016/j.jweia.2010.10.009

Cited by 52 publications

(23 citation statements)

References 19 publications

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“…For an accurate study, the profiles should be horizontally homogeneous because the inlet profiles actually correspond to the measured data obtained at a location close to the building. Nevertheless, several researchers [54,[59][60][61][62][63] report a similar trend on the horizontal inhomogeneity of the kinetic energy profile even though the mean wind speed profile remains constant. The horizontal homogeneity is linked to the relation between the inlet boundary conditions, the wall boundary conditions, the surface roughness modeling and the computational grid [54].…”

Section: Geometry and Measurement Datamentioning

confidence: 75%

Numerical modeling of turbulent dispersion for wind-driven rain on building facades

et al. 2014

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Wind-driven rain (WDR) is one of the most important moisture sources with potential negative effects on the hygrothermal performance and durability of building facades. The impact of WDR on building facades can be understood in a better way by predicting the surface wetting distribution accurately. Computational Fluid Dynamics (CFD) simulations can be used to obtain accurate spatial and temporal information on WDR. In many previous numerical WDR studies, the turbulent dispersion of the raindrops has been neglected. However, it is not clear to what extent this assumption is justified, and to what extent the deviations between the experimental and the numerical results in previous studies can be attributed to the absence of turbulent dispersion in the model. In this paper, an implementation of turbulent dispersion into an Eulerian Multiphase (EM) model for WDR assessment is proposed. First, CFD WDR simulations are performed for a simplified isolated high-rise building, with and without turbulent dispersion. It is shown that the turbulence intensity field in the vicinity of the building, and correspondingly the turbulence kinetic energy field, has a strong influence on the estimated catch ratio values when turbulent dispersion is taken into account. Next, CFD WDR simulations are made for a monumental tower building, for which experimental data are available. It is shown that taking turbulent dispersion into account reduces the average deviation between simulations and measurements from 24% to 15%.

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Section: Geometry and Measurement Datamentioning

confidence: 75%

Numerical modeling of turbulent dispersion for wind-driven rain on building facades

et al. 2014

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“…Moreover, Rotach (1999) argued that the flow can be considered horizontally homogeneous if the density, height and distribution of roughness elements do not vary over the upwind area of influence. Under the hypothesis of horizontal homogeneity, the average values of temperature, flow field and heat flux turn out to depend only on the height over the ground (Antonacci, 2005), and there are streamwise gradients in neither the mean wind speeds nor the turbulent quantities (O'Sullivan et al, 2011). In this regard, for the case of numerical studies, the scientific community advises to assess the effects of horizontal inhomogeneity by performing a simulation in an empty computational domain (Franke et al, 2007;Blocken et al, 2007b;.…”

Section: Homogeneity Of the Ablmentioning

confidence: 99%

On the use of numerical modelling for near-field pollutant dispersion in urban environments − A review

Lateb

Meroney

Yataghene

et al. 2016

Environmental Pollution

236

111

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This article deals with the state-of-the-art of experimental and numerical studies carried out regarding air pollutant dispersion in urban environments. Since the simulation of the dispersion field around buildings depends strongly on the correct simulation of the wind-flow structure, the studies performed during the past years on the wind-flow field around buildings are reviewed. This work also identifies errors that can produce poor results when numerically modelling wind flow and dispersion fields around buildings in urban environments. Finally, particular attention is paid to the practical guidelines developed by researchers to establish a common methodology for verification and validation of numerical simulations and/or to assist and support the users for a better implementation of the computational fluid dynamics (CFD) approach.

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“…For an accurate study, the flow profiles should be horizontally homogeneous because the inlet profiles actually correspond to the measured data obtained at a location close to the building. However, several researchers [46][47][48][49][50][51] reported the occurrence of unintended streamwise gradients in the vertical flow profiles (or horizontal inhomogeneity) due to the inconsistencies between the inlet boundary conditions, the wall boundary conditions, the surface roughness modeling and the computational grid. If the computational domain in Fig.…”

Section: Computational Domainmentioning

confidence: 99%

Wind-driven rain on two parallel wide buildings: Field measurements and CFD simulations

Kubilay

Derome

Blocken

et al. 2015

Journal of Wind Engineering and Industrial Aerodynamics

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Most studies of wind-driven rain (WDR) reported in the literature focus either on isolated buildings or on a particular building in geometrically complex environments. There is a need for experimental and numerical studies for more generic multi-building geometries. The present study reports detailed field measurements and numerical simulations of WDR that are conducted for an idealized geometry with two parallel wide buildings with different heights, located in Dübendorf, Switzerland. The datasets of rain events and WDR measurements with high spatial and temporal resolution are made available online to download and are intended for model development and validation. Numerical simulations are performed with computational fluid dynamics (CFD) based on the 3D steady Reynolds-averaged Navier-Stokes (RANS) equations and an Eulerian multiphase (EM) model for WDR, including the turbulent dispersion of raindrops. The numerical results are validated by comparing the calculated catch ratio values and cumulative WDR amounts with data from the field measurements. The CFD simulations accurately estimate the WDR intensities at the positions of 18 WDR gauges. The average discrepancies between the numerical and experimental results are found to be 6.9% for the rain event on February 20-21, 2014 and 4.9% for the rain event on August 2-3, 2014. In different building configurations, the influences of recirculation regions, sheltering, wind-blocking effect and acceleration of wind determine the WDR distribution on the downstream building. WDR can increase due to recirculation regions and acceleration of wind, while wind-blocking effect and sheltering decrease WDR.

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Consistent boundary conditions for flows within the atmospheric boundary layer

Cited by 52 publications

References 19 publications

Numerical modeling of turbulent dispersion for wind-driven rain on building facades

Numerical modeling of turbulent dispersion for wind-driven rain on building facades

On the use of numerical modelling for near-field pollutant dispersion in urban environments − A review

Wind-driven rain on two parallel wide buildings: Field measurements and CFD simulations

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