Numerical and wind tunnel simulation of gas dispersion around a rectangular building

Delaunay, Didier; Lakehal, Djamel; Barré, Christian; Sacre, Christian

doi:10.1016/s0167-6105(97)00113-x

Cited by 18 publications

(7 citation statements)

References 11 publications

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“…Since the 1990s, many numerical studies using CFD have been conducted to investigate the applicability of these models for pollutant dispersion around a single building by the ReynoldsAveraged NaviereStokes (RANS) approach (Murakami et al, 1990;Zhang et al, 1993;Delaunay et al, 1997;Cowan et al, 1997;Selvam, 1997;Stathopoulos, 1997, 1998;Meroney et al, 1999) and by Large Eddy Simulation (LES) (Tominaga et al, 1997;Sada and Sato, 2002). The calculations utilized in these studies were conducted with relatively coarse meshes in comparison to present work because of restrictions of computational resources at that time.…”

Section: Dispersion Around An Isolated Buildingmentioning

confidence: 99%

CFD simulation of near-field pollutant dispersion in the urban environment: A review of current modeling techniques

Tominaga

Stathopoulos

2013

Atmospheric Environment

404

158

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h i g h l i g h t s CFD simulations of near-field dispersion in the urban environment are reviewed. Key features of near-field pollutant dispersion are identified and discussed. To understand inherent strengths and limitations of numerical models is important. Careful model evaluation while paying attention to their uncertainty is necessary. a b s t r a c tNear-field pollutant dispersion in the urban environment involves the interaction of a plume and the flow field perturbed by building obstacles. In the past two decades, micro-scale Computational Fluid Dynamics (CFD) simulation of pollutant dispersion around buildings and in urban areas has been widely used, sometimes in lieu of wind tunnel testing. This paper reviews current modeling techniques in CFD simulation of near-field pollutant dispersion in urban environments and discusses the findings to give insight into future applications. Key features of near-field pollutant dispersion around buildings from previous studies, i.e., three-dimensionality of mean flow, unsteadiness of large-scale flow structure, and anisotropy of turbulent scalar fluxes, are identified and discussed. This review highlights that it is important to choose appropriate numerical models and boundary conditions by understanding their inherent strengths and limitations. Furthermore, the importance of model evaluation was emphasized. Because pollutant concentrations around buildings can vary by orders of magnitudes in time and space, the model evaluation should be performed carefully, while paying attention to their uncertainty. Although CFD has significant potential, it is important to understand the underlying theory and limitations of a model in order to appropriately investigate the dispersion phenomena in question.

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Section: Dispersion Around An Isolated Buildingmentioning

confidence: 99%

CFD simulation of near-field pollutant dispersion in the urban environment: A review of current modeling techniques

Tominaga

Stathopoulos

2013

Atmospheric Environment

404

158

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“…A number of different approaches have been widely used for studying pollutant dispersion around buildings in urban environments: full-scale field measurements (Drivas and Shair, 1974;Ogawa and Oikawa, 1982;Jones and Griffiths, 1984;Wilson and Lamb, 1994;Higson et al, 1996;Mavroidis et al, 1999Mavroidis et al, , 2003Stathopoulos et al, 2004Stathopoulos et al, , 2008Yassin et al, 2005;Santos et al, 2009;Finn et al, 2010;Baldauf et al, 2013), physical modelling (Li and Meroney, 1983;Poreh and Cermak, 1990;Higson et al, 1994;Wu and Meroney, 1995;Sini et al, 1996;Delaunay et al, 1997;Stathopoulos et al, 1999;White, 2003;Chang and Meroney, 2003;Aubrun and Leitl, 2004;Gomes et al, 2007;Nakiboglu et al, 2009;Liu et al, 2010;Pournazeri et al, 2012;Carpentieri et al, 2012;Yassin, 2013;Meroney et al, 2015), semi-empirical methods (Saathoff and Stathopoulos, 1997;Ratcliff and Sandru, 1999;Stathopoulos et al, 2002;ASHRAE, 2007;Hajra et al, 2010Hajra et al, , 2013ASHRAE, 2011;Chavez et al, 2011;Hajra and Stathopoulos, 2012;…”

Section: Dispersion Field Around Buildingsmentioning

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

235

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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“…Realisable k À e turbulence model 73 Rooftop source 73 Numerical method overvalued the pollutant at the roof, undervalued along the roof centre, at the leeward and in the wake and incorrectly simulated the upper half between two buildings, resulting in an insufficiently vertically elevated plume 73 . To evaluate the capability of Kato and Launder k À e models and RSM model by examining dispersion 99 .…”

Section: Pollutant Sources and Flow Conditions Conclusionmentioning

confidence: 99%

Dispersion of air pollutants around buildings: A review of past studies and their methodologies

Xia

Niu

2012

Indoor and Built Environment

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The review shows that on-site measurement has the benefit of obtaining real life data under real atmospheric boundary layer conditions, but it is too difficult to capture the real atmospheric conditions and too expensive to conduct such experiment as too many samplers and receptors are needed, particularly for investigating the air pollutant issues with regard to building arrays. This difficulty can be solved by physical-scale modelling, which can provide more controllable airflow boundary conditions, but accuracy is compromised by its inability to simulate real boundary layer turbulence conditions and buoyancy effects. Water channel is advantageous in buoyancy experiments but maintaining realistic viscosity and density properties of the medium could be challenging. Direct numerical simulation can provide accurate results; but it is impractical to simulate flows in large domains due to high computational requirements. Reynold-averaged Navier–Stokes numerical simulation is the most commonly used model for pollutant dispersion and infection control analysis but generally over-predicts surface concentrations at the leeward side of a building. Although large eddy simulation can over-predict the lateral pollutant concentration in the wake region of the building, flow unsteadiness and intermittency can be solved.

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Numerical and wind tunnel simulation of gas dispersion around a rectangular building

Cited by 18 publications

References 11 publications

CFD simulation of near-field pollutant dispersion in the urban environment: A review of current modeling techniques

CFD simulation of near-field pollutant dispersion in the urban environment: A review of current modeling techniques

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

Dispersion of air pollutants around buildings: A review of past studies and their methodologies

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