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Industrial Dust Control Wind Fence Analysis Atmospheric Dispersion Modeling CFD Computational Fluid Dynamics MRIGlobal

Industrial Dust Control Analysis

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State-of-the-art professional technical analysis of industrial dust control systems with atmospheric dispersion modeling
 

MRIGlobal uses computational fluid dynamics (CFD) modeling to design and analyze industrial dust control solutions.  Verified virtual tests efficiently guide industrial dust control design processes.  Professional technical analyses facilitate physics-based industrial dust control decisions.

  • Predict efficiency of existing or proposed dust control systems

  • Engineering design/optimization of existing or prototype dust control systems

  • Compare efficacy of multiple dust control systems

  • Predict wind erosion potential and quantify fugitive dust generation at erodible surfaces

  • Atmospheric fate and transport of fugitive dust using dispersion modeling

  • Quantify where dust settles on-site / off-site

  • Fugitive dust concentration maps on-site and surroundings

  • Third-party independent professional technical reviews

 

Industrial Dust Control with Computational Fluid Dynamics Atmospheric Dispersion Modeling and Wind Fence Analysis at MRIGlobal 

CFD combines numerical analysis and physics-based computational simulations to predict complex fluid flows.  Detailed airflow modeling over an industrial stockyard's storage pile is required to accurately simulate the downwind fate and transport of particulate matter.

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Greenhouse Design CFD Computational Fluid Dynamics Dispersion Analysis MRIGlobal 

Site-Specific Analysis of Atmospheric
Fate and Transport of Fugitive Dust

The atmospheric fate and transport of fugitive dust depends on the turbulent wind conditions over an industrial site. MRIGlobal has developed CFD modeling protocols specifically to predict the effects of atmospheric wind conditions on particulate
matter (PM) emissions from industrial sites. 

Atmospheric Airflows and Erosion Potentials using Computational Fluid Dynamics CFD Industrial Dust Controls at MRIGlobal 

MRIGlobal uses CFD to analyze atmospheric airflows, erosion potentials, fugitive dust fate and
transport, and control efficiencies of large-scale industrial dust controls.

 

Dust Concentration model fate and transport using Computational Fluid Dynamics CFD at MRIGlobal 

Industrial Dust Control Dispersion Analysis using CFD Aerodynamic Sheltering Atmospheric Dispersion Modeling at MRIGlobal 

 

 

 

 

 

 

 

Complex flow patterns and aerodynamic sheltering effects due to landscape and nearby structures can significantly impact airflows and dust dispersion over the site.  MRIGlobal's analysis is tailored to be site-specific, incorporating local meteorological conditions, and includes effects of surrounding landscape, structures, and vegetation to ensure the highest degree of model accuracy. 

 

 

Dust Plume Patterns using Atmospheric Dispersion Modeling and Computational Fluid Dynamics CFD at MRIGlobal 

Dust plume patterns and concentrations vary over time.  Depending on the required analysis, CFD can be used to analyze time-dependent dust transport over daily diurnal cycles (using 15-minute meteorological input data) or longer-scale seasonal trends (using primary seasonal wind directions).

 

 

Why MRIGlobal?

Industry Experience

MRIGlobal has significant experience managing and performing large and small computational analysis studies for a range of client needs.  No matter the size of the project, a dedicated MRIGlobal engineer will work closely with the client to develop and execute an appropriate analysis.  Please contact us to discuss detailed analysis and interpretation options for your specific projects.


State-of-the-Art Software
and Hardware

MRIGlobal uses state-of-the-art commercial CFD software ANSYS Fluent® to analyze complex fluid flow and dust control problems.  Large multi-scale and multi-physics problems are solved using MRIGlobal's in-house high-performance computational facilities.

 

Reduce Costs and Save Time

Computational analysis helps guide
the design process and identify
problems before they happen. 
These virtual tests help reduce
costs and time by allowing project
managers to make physics-based decisions.

 

Expert Staff

MRIGlobal has personnel trained
and dedicated to employing
computational fluid dynamics for
engineering design analysis and
fundamental research.  MRIGlobal
staff are also available to serve
as third-party reviewers for
computational analysis studies.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Wind Fence Analysis

Fugitive dust emissions can be generated due to a variety of natural and anthropogenic processes.  Anthropogenic sources include, among other things, dust generated due to vehicular transport and dust generated due to the erosion/handling/processing of industrial stockyard materials (e.g., coal or iron ore).  One current mitigation strategy aimed at reducing fugitive dust emissions involves constructing large-scale wind fences that surround the emission source.

 

 Wind Fence Analysis using Atmospheric Dispersion Modeling and Computational Fluid Dynamics CFD at MRIGlobal

Wind Fence Analysis and Erosion of stockyards with Aerodynamic Sheltering Iron ore stockpiles at MRIGlobal

Wind Fence Analysis of Industrial Dust Control using Computational Fluid Dynamics and Atmospheric Dispersion Modeling MRIGlobal 

Wind erosion and material handling processes in open storage stockyards can result in material loss and have environmental impacts.  The aerodynamic sheltering effects of configurations of wind fences, buildings, and greenbelts can be quickly analyzed to help maximize fugitive dust controls.  This image illustrates an industrial site with a proposed wind fence (shown in orange); fugitive dust sources include 12 iron-ore stockpiles and one waste pile (all shown in gray).

 

Wind fences successfully reduce emissions in a variety of ways:

  • Preventing wind-erosion by significantly reducing wind speeds over emission source locations.
  • Generating a reduced-wind-speed "settling zone" region downwind of the wind fence that enhances gravitational settling of particles.
  • Effectively acting as a "filter" by promoting dust deposition on the wind fence surface itself.  Deposition mechanics may be due to surface impaction / diffusion, and are likely enhanced by electrostatic attraction due to electrostatic potential differences between the dust particles and wind fence fabric.

Wind fences that border emission sources offer the potential for significant control of dust emissions and MRIGlobal's best-in-class virtual analysis allows a rapid assessment of the efficacy of proposed wind fence designs.

 

​Multiphysics

Industrial dust control problems often involve complicated geometries and are typically coupled with other physical processes such as turbulence, vapor or liquid aerosol dissemination, coupled heat and mass transfer, and particle dispersion.  In these cases, the flows are not amenable to an analytic mathematical solution, and must be investigated via CFD.


DustControlTrucks.png

 

CFD is used to determine the dust control efficiency of an operating grain receiving building.  Air enters via three roof vents, and as the streamlines illustrate, envelops the grain trailer, passing over the top and sides, prior to flowing under the truck and exiting the room through the aspirated receiving hoppers located beneath the floor.  Velocity and dust concentration contours are also shown along a plane that passes through the center of a trailer/hopper.


Truck-computational-fluid-dynamics-modeling-dust-control.png

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MRIGlobal uses CFD for a physics-based prediction of fugitive dust plumes generated by vehicles moving on unpaved haul roads.  MRIGlobal's unique approach accounts for discrete fugitive dust particles generated by the vehicle's tires and the dust's subsequent atmospheric transport.  Our three-dimensional, time-dependent, analysis includes the interaction of both the moving vehicle and the turbulent atmospheric boundary layer flow.  In this way, fugitive dust plumes are allowed to develop naturally according to the flow physics in the vehicle's wake.  By modeling individual dust particles in the system MRIGlobal offers a more complete analysis of your problem that includes factors like gravitational settling, re-entrainment, particle size effects, and dust interaction with surrounding structures and vegetation.  ​


 

 

                

              

 

               

                 

Get in touch with us!

MRIGlobal Headquarters
425 Volker Boulevard,
Kansas City,
Missouri 64110-2241

General Information: (816) 753-7600  / Locations

How can we help you? Email us!
info@mriglobal.org

For MRIGlobal's Dust Modeling and Analysis capabilities,
please contact:

Kris Schumacher, Ph.D., Principal Engineer
816.326.5042  |  
kschumacher@mriglobal.org

John Stanley, Ph.D., Vice President, Corporate Business Development
816.360.5151  |  
jstanley@mriglobal.org