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  1. Pubblicazioni

PM10 Dispersion Modeling by Means of CFD 3D and Eulerian-Lagrangian Models: Analysis and Comparison with Experiments

Articolo
Data di Pubblicazione:
2016
Abstract:
This research deals with the analysis of the dispersion of PM10 by using fluid-dynamic simulation framework. Firstly, an experimental campaign was made in a wind tunnel. A cylindrical emitter of PM10 was characterized in terms of PM10 mass flow rate and outlet velocity. It was positioned in the wind tunnel chamber where several sensors were also placed downwind. The use of different sensor configurations allowed the evaluation of the PM10 concentrations in several locations. The experimental campaign was reproduced in ANSYS-Fluent, by recreating in Design-Model, a 3D geometries of the test case. Different calculation grids were tested in order to find the proper balance between computing time and accuracy. The CFD 3D model was based on the Eulerian approach for the continuous phase and Lagrangian approach for the dispersion phase setting the DPM for the evaluation and dispersion of particulate matters. The turbulence was solved by using a k-ϵ RANS approach and a quite advanced unsteady DES model. Several simulations were carried out by varying the flow inlet velocities in configurations with and without obstacles. The results obtained from the post-processing phase were then compared with the experimental campaign. With obstacles a PM concentration increment is observed at all imposed air velocity because of recirculation phenomena generated around the obstacles.
Tipologia CRIS:
14.a.2 Proceedings in extenso su rivista
Keywords:
3D CFD model; aerosol particles; air pollution; Eulerian/Lagrangian particle dispersion model; Energy (all)
Elenco autori:
Brusca, Sebastian; Famoso, F.; Lanzafame, R.; Mauro, S.; Messina, M.; Strano, S.
Autori di Ateneo:
BRUSCA Sebastian
FAMOSO Fabio
Link alla scheda completa:
https://iris.unime.it/handle/11570/3105654
Pubblicato in:
ENERGY PROCEDIA
Journal
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URL

http://www.sciencedirect.com/science/journal/18766102
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