Wind Fence Analysis
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.
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.
a reduced-wind-speed "settling zone" region downwind of the wind fence
that enhances gravitational settling of particles.
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
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
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.
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.
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.