2012
DOI: 10.1016/j.jweia.2012.02.023
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RANS simulation of ABL flow over complex terrains applying an Enhanced k-ε model and wall function formulation: Implementation and comparison for fluent and OpenFOAM

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Cited by 120 publications
(56 citation statements)
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“…The realisable k-ε turbulence model provided the best prediction of the turbulent kinetic energy distributions, but this is attributed to the downstream profiles. These results are similar to those found by Balogh et al (2012) using FLUENT and OpenFOAM. They found that the results could be marginally improved, particularly for the prediction of the turbulent kinetic energy distributions, by modifying the wall treatments to be consistent with the velocity and turbulence inlet profiles in OpenFOAM (Balogh et al 2012).…”
Section: Resultssupporting
confidence: 90%
See 2 more Smart Citations
“…The realisable k-ε turbulence model provided the best prediction of the turbulent kinetic energy distributions, but this is attributed to the downstream profiles. These results are similar to those found by Balogh et al (2012) using FLUENT and OpenFOAM. They found that the results could be marginally improved, particularly for the prediction of the turbulent kinetic energy distributions, by modifying the wall treatments to be consistent with the velocity and turbulence inlet profiles in OpenFOAM (Balogh et al 2012).…”
Section: Resultssupporting
confidence: 90%
“…These results are similar to those found by Balogh et al (2012) using FLUENT and OpenFOAM. They found that the results could be marginally improved, particularly for the prediction of the turbulent kinetic energy distributions, by modifying the wall treatments to be consistent with the velocity and turbulence inlet profiles in OpenFOAM (Balogh et al 2012). This kind of wall treatment, however, is not available to users of STAR-CCM+, and its implementation is made difficult as access to the source-code is unavailable.…”
Section: Resultssupporting
confidence: 90%
See 1 more Smart Citation
“…Regarding the linear system solvers, generalised geometric-algebraic multi-grid solver (GAMG) with DIC smoother is used for the pressure, and preconditioned bi-conjugate gradient solver for asymmetric matrices (PBiCG) with diagonal incomplete (Lu and Ip, 2009) (DILU) preconditioner is used for the rest of variables. Second order accurate numerical schemes (both central differencing and upwind) must be used at least in order to avoid problems with false diffusion (Rakai et al, 2014;Balogh et al, 2012;Bakker, 2015;ANSYS Fluent, 2015). Regarding the mesh, the external domain (inlet, outlet, ground, sky and sides in Fig.…”
Section: Description Of the Case Study And Simulation Detailsmentioning
confidence: 99%
“…In fact, the CFD simulations did predict the flow separation in the lee of the hill, albeit with some discrepancies. Later 3D steady RANS simulations for the Askervein hill were made by -among others - Kim et al (2000), Prospathopoulos and Voutsinas (2006), Undheim et al (2006), Balogh et al (2012) and Moreira et al (2012), while both steady and unsteady RANS simulations were made by Castro et al (2003), hybrid RANS/LES by Bechmann and Sorensen (2010) and LES simulations by Silva Lopes et al (2007).…”
Section: Case Studies For Isolated Hillsmentioning
confidence: 99%