Applied
Computational
Fluid
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Applied Computational Fluid DynamicsApplied Computational Fluid DynamicsApplied Computational Fluid Dynamics

Applied
Computational
Fluid
Dynamics

Applied Computational Fluid DynamicsApplied Computational Fluid DynamicsApplied Computational Fluid Dynamics
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FUGITIVE DUST

Evaluate wind-fence performance before construction

Applied CFD models site-specific wind flow and particle transport to help engineers evaluate fugitive dust controls. Compare a proposed wind fence against an unfenced baseline, identify recirculation around stockpiles, and examine where released particles settle, strike a fence, or escape.


An industrial-stockyard analysis compared a 25 m perimeter wind fence with an unfenced layout at wind speeds of 5 and 45 m/s, using four particle sizes and a mesh of over 13 million elements. This demonstrates how simulation can inform a dust-control design before construction.


Work directly with an experienced CFD specialist to define the site geometry, operating conditions, and engineering questions your study needs to address.

info@appliedcfd.com

Contact info@appliedcfd.com to discuss your specific needs and explore solutions.

Atmospheric dust transport over an industrial stockyard

Atmospheric transport of 20-micron dust particles, represented by red dots, over and around 16 m tall ore pellet piles. Dust is released from the upper 2 meters of the two upstream piles.


The CFD animation captures the effects of convective airflow, turbulence, gravity, and interaction with structures and obstructions. Note the particles entrained in recirculating zones between the piles and the lateral and vertical dispersion as they move downwind.


Discuss your dust-control project

Illustrative CFD workflow

MODEL SYSTEM

The first step is to gather information necessary to create a virtual representation of a physical system. This includes the dimensions and locations of major structures that affect wind flow.


In this example, a three-dimensional model of an industrial stockyard was developed from site drawings. The model includes oxide pellet and HBI stockpiles and a 25-meter perimeter wind fence.

MESH

The final mesh contains over 13 million elements, with the highest mesh density concentrated over the piles and near the wind fence. Three successive mesh refinements were conducted to resolve regions of high velocity gradients and turbulent structures.


A near-wall boundary layer mesh consisting of 10 graded layers was applied to solid surfaces to resolve shear stress at air-solid interfaces.

TURBULENCE MODEL

To compute the airflow, Fluent solves the Reynolds averaged Navier-Stokes (RANS) equations using the realizable k-epsilon turbulence model.


Atmospheric wind enters the domain as a fully developed boundary layer. Inlet velocity, turbulent kinetic energy, and dissipation rate profiles are specified. The profiles shown represent wind speeds of 5 and 45 m/s at 10 m elevation.

Flow streamlines in a recirculation zone between stockpiles; 45 m/s with the wind fence in place.

RESULTS (VERIFICATION)

The system of equations is solved iteratively until residuals fall below 0.001. In this example, 700 to 2,000 iterations were required for each simulation case.


Localized flow separation and recirculation downstream of the piles can slow convergence due to persistent velocity fluctuations. The streamlines shown illustrate a recirculation zone between piles for the 45 m/s wind-fence scenario.

Velocity contours showing deceleration of airflow downstream of the stockyard wind fence.

RESULTS (VALIDATION)

A CFD model is validated when it is shown to accurately represent experimental measurements. For large-scale atmospheric flows over industrial stockyards, site-specific measurements are typically limited.


Here, pressure drops across the wind fence panels were compared with empirical fabric-resistance coefficients. These checks support the modeled fence behavior; they do not constitute field validation of dust capture. The velocity contours show the deceleration of airflow downstream of the fence.

10-micron particle trajectories from one stockpile at 45 m/s with the perimeter wind fence.

FUGITIVE DUST FATE AND TRANSPORT

Once the flow field is established, particles are released from the tops of the piles. Fluent’s discrete-phase modeling is used to compute particle dispersion due to airflow, turbulence, gravity, and interaction with the ground and wind fence.


Particles with aerodynamic diameters of 2.5, 10, 20, and 50 microns were evaluated. The trajectories shown are for 10-micron particles released from one stockpile at 45 m/s with the perimeter fence in place.

Surface shear stress on stockpiles at 45 m/s with the perimeter wind fence in place.

WIND SHEAR AT EMISSION SURFACES

The entrainment of dust particles into the air is correlated with the shear stress at the air-ground interface. Dust is entrained when this wind shear reaches a critical value.


Contour plots of surface stresses and near-ground velocities can be used to examine probable locations that exceed this threshold. The contours shown illustrate surface shear stress on the piles at 45 m/s with the perimeter fence in place.

Q&A

Why is CFD important in the design and analysis stage?

  • CFD lets you compare proposed controls before committing to construction. A site-specific model can show how stockpiles, buildings, and porous fences alter wind flow and particle paths.

  • For the industrial-stockyard case, four scenarios compared fenced and unfenced layouts at two wind speeds. Particle-fate tables made the effect of the fence visible for each source and particle size.

What exactly do I get with a CFD study?

  • The scope is agreed around the engineering decision you need to make. Deliverables can include:

  • A 3D model based on your site drawings and a defined set of wind and fence scenarios.

  • Airflow maps, recirculation patterns, and particle trajectories that explain the predicted behavior.

  • Particle-fate tables by source and size, comparing settling, fence interaction, and escape.

  • Documented assumptions, numerical checks, findings, and limitations, with velocity and surface-shear comparisons where relevant.

How accurately can CFD predict the efficacy of proposed solutions?

  • Credible predictions depend on site geometry, atmospheric wind and turbulence profiles, fence resistance, particle properties, and numerical resolution.

  • For the industrial-stockyard case, three successive mesh refinements produced a final mesh of over 13 million elements. Fence pressure drops were checked against empirical fabric-resistance coefficients. These checks support the modeled airflow; they do not constitute field validation of dust capture.

  • Ideal capture counts particles settling within the yard or striking the fence. It is a case-specific simulation metric, not a measured emissions reduction. The analysis covered one southerly wind direction, two wind speeds, and particles released from the stockpile tops; results should be interpreted within that scope.

Contact Us Today

Contact: info@appliedcfd.com

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