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FUGITIVE DUST

Combat Fugitive Dust with Proven Expertise at Applied CFD

The CFD approach is proven to be the best scientific method to make accurate predictions of site-specific dust control measures during design and planning phases of your project. 


Fugitive dust, composed of tiny airborne particles from various activities, poses significant health and environmental risks. These micron-scale particles can lead to respiratory illnesses and contribute to air pollution. With fugitive dust accounting for a major part of PM-10 emissions, technical expertise and proven experience is crucial


Applied CFD specializes in objectively analyzing innovative and effective control measures for fugitive dust. Our modeling and simulation solutions range from wind fences, green belts, and watering techniques to advanced chemical stabilization. Applied CFD's solutions are tailored to your unique challenges. 

info@appliedcfd.com

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

CFD Workflow

MODEL SYSTEM

 The first step is to gather information necessary to create a virtual representation of a physical system.  In general, this information includes the dimensions and locations of all major structures that affect wind flows within the regions under consideration.  A solid body representation of the system is typically generated using Solidworks 3D CAD design software.In this example, airflow over the example open storage yard is considered.  The storage yard includes four storage piles, four local buildings, an upwind greenbelt, and a surrounding wind fence.  

MESH

The mesh consists of 8 million tetrahedron elements.  To ensure a quality solution, a denser mesh is used within the local region surrounding the stockyard, including the greenbelt, where  smaller scale flow effects are more likely to arise.  The mesh also has an increased resolution near all solid surfaces to ensure adequate resolution of turbulent wall-effects.  This boundary layer mesh, located in close proximity to all solid surfaces within the system, consists of a region 10 elements ‘thick.’   The element spacing in the boundary layer varies according to the element face size at the corresponding fluid-solid interface.  

TURBULENCE MODEL

 To compute the airflow in this system, Fluent solves the Reynolds averaged Navier-Stokes (RANS)  equations using an eddy-viscosity assumption.  Of the turbulence closure  models available within Fluent, the realizable k-epsilon model has been found  to be the most accurate for modeling the aerodynamics of atmospheric flows over windbreaks and  similar structures [Bourdin and Wilson, 2008]. 

RESULTS (VERIFICATION)

Iterative convergence is discussed in the previous section.  Most of these stockyard CFD simulations  require at least 2000-3000 iterations to fully converge, and in some cases, up to 5000-6000 iterative  steps are necessary.  It is important to monitor the error to ensure that the results are representative of  a fully converged simulation.  Grid independence is another important issue that must be addressed in these studies.  The results  shown here are for the initial mesh of 8 million elements.  The standard approach to show grid  independence is to increase the number of grid points from 8 million, to say 12 million, and again to say  16 million, and plot the results as a function of increasing mesh resolution.  The model will approach grid  independence as the mesh resolution is increased, and the final mesh is chosen once you either (1) find  a situation where the results cease to change appreciably or (2) reach the computational limits of your  finite computational resources.  

RESULTS (VALIDATION)

 A CFD model is ‘validated’ when it is shown to accurately represent experimental measurements.  For  these large scale atmospheric flows over industrial stockyards there is typically a lack of empirical data.   However, it must be noted that previous researchers have taken extensive steps to obtain experimental  data and perform comparative studies of many turbulence models.  The models which most accurately  represent the experimental data were noted and used in this work.  In that sense, the model has been  validated against other situations, and this gives us more confidence as we extend it to these stockyard  scenarios. 

FUGITIVE DUST FATE AND TRANSPORT

Once the flow field is established, particles are released from the surfaces of the piles.  Fluent’s discrete-phase modeling is used to model the dispersion of these particles due to the effects of the flow field, the turbulence, gravity, and the interaction of the particles with the ground, buildings, windfences, and greenbelts.  The reactions of individual particles are determined by solving the equation of motion for each particle in the system.  In most studies, the primary results include analysis of the fate and transport of aerosolized dust  particles to investigate the aerodynamic sheltering effects of various windfence configurations.  

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 into the air when this wind shear reaches a critical value.  Previous studies have focused on characterizing this threshold for a variety of dust materials.  Contour plots of surface stresses, as well as near ground velocities, can readily be generated to examine probable locations that  exceed this threshold.  The efficacy of wind fences and greenbelts at reducing the critical stress and/or threshold  velocity can be directly computed using CFD.  

Q&A

Why is CFD important in the design and analysis stage?

  •  It is important to assess the efficacy of proposed solutions early in the design and planning stage. 
  • Accurate and impactful predictions of site-specific airflows and fugitive dust behavior require unique expertise as well as sophisticated engineering design tools. 
  • The only good science that exists to accurately predict and optimize proposed industrial dust controls is CFD 
  • CFD is an established and powerful engineering design tool 
  • CFD is the most effective and efficient way to predict the efficacy of your proposed design solution a priori 

What exactly do I get with a CFD study?

  • You get a virtual wind tunnel model of your site 
  • You get accurate turbulent atmospheric airflow behavior predictions at your site 
  • You get accurate fate and transport of fugitive dust behavior predicitons at your site 
  • You get the ability to predict the effect and efficacy of proposed mitigation solutions on the airflows and dust control at your site 
  • You get the ability to efficiently perform dozes to hundreds of “what if” design studies. 
  • You get the confidence that the proposed solution has been rigorously evaluated by independent experts using the best science and state-of-the-art techniques available. 
  • You get direct project access to subject matter experts in the field of turbulence, atmospheric airflows, aerosol science, fugitive dust modeling, and industrial CFD workflows. 

How accurately can CFD predict the efficacy of proposed solutions?

  •  The most critical factor in an accurate fugitive dust analysis is the ability to correctly predict the complex turbulent atmospheric airflow behavior at your site. 

ACCURATE SITE-SPECIFIC WINDFLOWS 

  • Correctly predicting atmospheric airflow patterns at your site is crucial. 
  • We are world experts at atmospheric flow simulations with decades of experience and understanding of all the major factors that impact atmospheric flow over sites. 
  • We use turbulence models that have been experimentally validated for wind fence applications. 
  • Atmospheric airflow velocity profiles and turbulent kinetic energy distributions, which must be defined as boundary conditions in every CFD study, represent a significant source of potential inaccuracy if not appropriately handled. 
  • You can rest assured that all critical nuanced details in their CFD analysis will be expertly handled with PhD-level experts 

ACCURATE DUST MODELING 

  • Once an accurate airflow over the site has been established, hundreds of thousands to millions of simulated dust particles are released at fugitive source locations. 
  • Each individual dust particle that is released is affected by the air flow velocity, turbulence, gravity, wind fences, buildings, obstructions, etc, and its unique transport over your site and eventual fate is calculated and traced deterministically. 
  • Since so many particles are released, a statistical approach is used to predict overall wind fence dust control efficiency  

Contact Us Today

Contact: info@appliedcfd.com

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