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Using for Pollutant Dispersion
Andrea Vignaroli – University of Perugia
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UNIVERSITA’ DEGLI STUDI DI PERUGIA
Facoltà di Ingegneria
Dipartimento di Ingegneria Industriale
In collaboration with…
Vector AS
&
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The aims of this work…The aims of this work…
- To develop hidden potentialities of Windsim
- To put the basis for the realization of a new commercial software
D.I.IN.
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Foreseing pollutant emissions can be important to…
•interpretate data measured by the interest area monitoring web
•necessary for the Valuation of Environmental Impact of future factories or infrastructure
D.I.IN.
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Applicabilty Fields
•Spatial Scale: local and meso scale;•Territory type: every kind of site (complex terrain)•Time Scale: every kind of period (from 1 hr to a year)•Source type: every kind source that can be discretized with an emission point•Pollutant type: gas, smells & particles
D.I.IN.
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Dispersion Modelling on PHOENICS
Two approaches for Two different tipology of pollutants:
• GENTRA PARTICLES
• PASSIVE DISPERSION GAS & SMELLS
D.I.IN.
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- GENTRA -
stochastic particle dispersion model for
turbulent flow
Gentra integrates the particle equations in a
Lagrangian frame while Phoenics solves the
equations governing the continuous phase in the
normal manner
D.I.IN.
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- GENTRA -
Particle Dispersion (Gentra) Data Input:
• X, Y , Z local position [m];• u, v, w inlet velocity vectors [m/s];• Flux rate in [Kg/s];• Density [Kg/m^3];• Particle diameter [m];• Number of particles to be simulated;
every particle will bring with itself a fraction of the given emission rate
D.I.IN.
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- GENTRA -
Concentration map
Amount of particles in each cell
D.I.IN.
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- GENTRA -
Results for 240°-sector simulation
D.I.IN.
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- Passive Dispersion -
“PASSIVE” means…
Determining the flow field in the classical way
Introducing in the q1 file a new inlet for the pollutant (Gas or smell)
New simulation using the previous run as input to the dermine how the new phase is dragged by the wind
D.I.IN.
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- Passive Dispersion -
Passive Dispersion Data Input :
• X , Y , Z position in cell numbers;• Flux rate in [Kg/s];• Area of Chimney final section [m];• Temperature [°C];• Density [Kg/m^3];
D.I.IN.
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- Passive Dispersion -
Results for 240°-sector simulation
D.I.IN.
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OUTPUT DATA
Strictly Correlated to what the enviromental laws prescribe
Importants Outputs are…• concentration map of short term simulation for a given wind speed and direction• 3D visualization of the concentration field using isosurfaces • concentration map of a long term simulation for a given one – year - climatology
D.I.IN.
?
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- Output Data -
12 sectors climatology
12 Averaged speeds over boundary layer
12 Phoenics runs with different input
For long term simulation the climatology influeces the windfield module
D.I.IN.
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- Output Data -
One-year-averaged concentration map
D.I.IN.
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…WORK IN PROGRESS
Something for the future…
• validate the model with measured data
• prescribed pollutant limit as input in order to have percentiles, and map with over valued concentration points
• 24 sectors climatology for smoother maps
• linear and volume sources
D.I.IN.