CFD Optimization of a Vegetation Barrier

Šíp, Viktor; Beneš, L

doi:10.1007/978-3-319-39929-4_45

“…Vegetation model for the momentum and k − equations described by Katul et al (2004) is employed. For further details we refer to ( Šíp and Beneš, 2016), where the solver is described in more detail. Turbulent Schmidt number was set to Sc T = 0.7 in both cases, based on the analysis by Tominaga and Stathopoulos (2007).…”

Section: Applicationsmentioning

confidence: 99%

Dry deposition model for a microscale aerosol dispersion solver based on the moment method

Šíp¹,

Beneš²

2016

Preprint

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A dry deposition model suitable for use in the moment method has been developed. Contributions from five main processes driving the deposition -Brownian diffusion, interception, impaction, turbulent impaction, and sedimentation -are included in the model. The deposition model was employed in the moment method solver implemented in the OpenFOAM framework. Applicability of the developed expression and the moment method solver was tested on two example problems of particle dispersion in the presence of a vegetation on small scales: a flow through a tree patch in 2D and a flow through a hedgerow in 3D. Comparison with the sectional method showed that the moment method using the developed deposition model is able to reproduce the shape of the particle size distribution well. The relative difference in terms of the third moment of the distribution was below 10% in both tested cases, and decreased away from the vegetation. Main source of this difference is a known overprediction of the impaction efficiency. When tested on the 3D test case, the moment method achieved approximately eightfold acceleration compared to the sectional method using 41 bins.

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“…The vegetation effects are included in the k-turbulence model, and a detailed, physically based dry deposition model is incorporated in the pollutant transport equation. A preliminary version of the solver was used for designing an optimal near-road barrier ( Šíp and Beneš, 2016).…”

Section: Introductionmentioning

confidence: 99%

RANS solver for microscale pollution dispersion problems in areas with vegetation: Development and validation

Šíp¹,

Beneš²

2016

Preprint

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We present a description and validation of a finite volume solver aimed at solving the problems of microscale urban flows where vegetation is present. The solver is based on the five equation system of Reynolds-averaged Navier-Stokes equations for atmospheric boundary layer flows, which are complemented by the kturbulence model. The vegetation is modelled as a porous zone, and the effects of the vegetation are included in the momentum and turbulence equations. A detailed dry deposition model is incorporated in the pollutant transport equation, allowing the investigation of the filtering properties of urban vegetation. The solver is validated on four test cases to assess the components of the model: the flow and pollutant dispersion around the 2D hill, the temporal evolution of the rising thermal bubble, the flow through and around the forest canopy, and a hedgerow filtering the particle-laden flow. Generally good agreement with the measured values or previously computed numerical solution is observed, although some deficiencies of the model are identified. These are related to the chosen turbulence model and to the uncertainties of the vegetation properties.

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Dry deposition model for a microscale aerosol dispersion solver based on the moment method

Šíp

¹

,

Beneš

²

2017

Journal of Aerosol Science

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A dry deposition model suitable for use in the moment method has been developed. Contributions from five main processes driving the deposition -Brownian diffusion, interception, impaction, turbulent impaction, and sedimentation -are included in the model. The deposition model was employed in the moment method solver implemented in the OpenFOAM framework. Applicability of the developed expression and the moment method solver was tested on two example problems of particle dispersion in the presence of a vegetation on small scales: a flow through a tree patch in 2D and a flow through a hedgerow in 3D. Comparison with the sectional method showed that the moment method using the developed deposition model is able to reproduce the shape of the particle size distribution well. The relative difference in terms of the third moment of the distribution was below 10% in both tested cases, and decreased away from the vegetation. Main source of this difference is a known overprediction of the impaction efficiency. When tested on the 3D test case, the moment method achieved approximately eightfold acceleration compared to the sectional method using 41 bins.

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CFD Optimization of a Vegetation Barrier

Cited by 3 publications

References 17 publications

Dry deposition model for a microscale aerosol dispersion solver based on the moment method

Dry deposition model for a microscale aerosol dispersion solver based on the moment method

RANS solver for microscale pollution dispersion problems in areas with vegetation: Development and validation

Dry deposition model for a microscale aerosol dispersion solver based on the moment method

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