Evaluation of CFD model predictions of local dispersion from an area source on a complex industrial site

Hill, R.; Arnott, A.; Hayden, Paul; Lawton, T.J.; Robins, Alan; Parker, T.G.

doi:10.1504/ijep.2011.038416

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Although not the focus of this paper, it must be noted in passing that computational fluid dynamics (CFD) simulations have recently been shown to be as reliable as wind tunnel modelling in treating dispersion in the presence of site buildings (e.g., [14]). To achieve this requires high-quality CFD work and, inevitably, high-power computing resources.…”

Section: Computational Fluid Dynamics-based Approachesmentioning

confidence: 99%

Validation Study for an Atmospheric Dispersion Model, Using Effective Source Heights Determined from Wind Tunnel Experiments in Nuclear Safety Analysis

et al. 2018

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For more than fifty years, atmospheric dispersion predictions based on the joint use of a Gaussian plume model and wind tunnel experiments have been applied in both Japan and the U.K. for the evaluation of public radiation exposure in nuclear safety analysis. The effective source height used in the Gaussian model is determined from ground-level concentration data obtained by a wind tunnel experiment using a scaled terrain and site model. In the present paper, the concentrations calculated by this method are compared with data observed over complex terrain in the field, under a number of meteorological conditions. Good agreement was confirmed in near-neutral and unstable stabilities. However, it was found to be necessary to reduce the effective source height by 50% in order to achieve a conservative estimation of the field observations in a stable atmosphere.

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Section: Computational Fluid Dynamics-based Approachesmentioning

confidence: 99%

Validation Study for an Atmospheric Dispersion Model, Using Effective Source Heights Determined from Wind Tunnel Experiments in Nuclear Safety Analysis

et al. 2018

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“…Seo et al [14] estimated the distance of the damage area over an agricultural field due to fugitive dust emissions from a reclaimed land by modeling the dust emissions using k-ε model. Hill et al [15] studied near-field dispersion of pollutants from an industrial area using CFD and compared the modeled concentrations with those ones measured from wind tunnel experiments. In the study by Bhat et al [16], dispersion of the particulate matter emitting from a biosolid applied agricultural land was simulated over an open field using k-ε model and the modeled concentrations were statistically compared with the observed ones.…”

Section: Introductionmentioning

confidence: 99%

Dispersion Modeling of Particulate Matter in Different Size Ranges Releasing from a Biosolids Applied Agricultural Field Using Computational Fluid Dynamics

Nimmatoori¹,

Kumar²

2021

ACES

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This paper proposes a methodology using computational fluid dynamics (CFD)-FLUENT to simulate the dispersion of particulate matter releasing from a biosolid applied agricultural field and predict the particulate concentrations for different ranges of particle sizes. The discrete phase model (Lagrangian-Eulerian approach) was used in combination with each of the four turbulence models:Standard kε (kε), Realizable kε (Rkε), Standard kω (kω), and Shear-stress transport k-ω (SST) to predict particulate matter size concentrations for distances downwind of the agricultural field. In this modeling approach, particulates were simulated as discrete phase and air as continuous phase. The predicted particulate matter concentrations were compared statistically with their corresponding field study observations to evaluate the performance of turbulence models. The statistical analysis concluded that among four turbulence models, the discrete phase model when used with Rkε performed the best in predicting particulate matter concentrations for low (u < 2 m/s) and medium (2 < u < 5 m/s) wind speeds. For high (u > 5 m/s) wind speeds, Rkε, kω, and SST showed similar performances. The discrete phase model using Rkε performed very well and modeled the best concentrations for the particle sizes (μm): 0.

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Performance analysis of an air quality CFD model in complex environments: Numerical simulation and experimental validation with EMU observations

Kumar

Feiz

2016

Building and Environment

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Evaluation of CFD model predictions of local dispersion from an area source on a complex industrial site

Cited by 4 publications

References 9 publications

Validation Study for an Atmospheric Dispersion Model, Using Effective Source Heights Determined from Wind Tunnel Experiments in Nuclear Safety Analysis

Validation Study for an Atmospheric Dispersion Model, Using Effective Source Heights Determined from Wind Tunnel Experiments in Nuclear Safety Analysis

Dispersion Modeling of Particulate Matter in Different Size Ranges Releasing from a Biosolids Applied Agricultural Field Using Computational Fluid Dynamics

Performance analysis of an air quality CFD model in complex environments: Numerical simulation and experimental validation with EMU observations

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