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An extended SST k−ω framework for the RANS simulation of the neutral Atmospheric Boundary Layer

par Bellegoni, Marco ;Cotteleer, Léo ;Raghunathan Srikumar, Sampath Kumar;Mosca, Gabriele M.G.;Gambale, Alessandro ;Tognotti, Leonardo;Galletti, Chiara;Parente, Alessandro
Référence Environmental modelling & software, 160, 105583
Publication Publié, 2023-02-01

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Résumé :

The use of Computational Fluid Dynamics (CFD) for environmental studies is continuously growing. In this context, simulations are usually carried out solving Reynolds-averaged Navier–Stokes (RANS) equations that require an appropriate implementation of the Atmospheric Boundary Layer (ABL). This paper proposes a framework based on the Shear Stress Transport (SST) k−ω turbulence model, which is highly recommended for microclimate analysis, since it is known to well reproduce homogeneous ABL flows in the context of RANS simulations. Besides, a new blending approach is developed to account for the presence of obstacles in the domain. The model is implemented in the open-source OpenFOAM code and validated against well-known benchmark cases spanning different configurations, i.e., an empty fetch, a single building and an array of buildings. The performance of the proposed model is very satisfactory. For instance, the Factor-of-2 validation metric is FAC2>0.8 for both velocity and turbulent kinetic energy in nearly all cases.