Turbulent Inflow Generation for Large-eddy Simulation of Incompressible Flows Through Buoyancy Perturbations

DeLeon, Rey; Şenocak, İnanç

doi:10.2514/6.2017-3294

Cited by 2 publications

(2 citation statements)

References 22 publications

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“…However, this process can be time consuming and difficult to achieve in an operational setup. Following DeLeon and Senocak (2017), we have developed a robust inflow turbulence generator which uses temperature perturbations in cells near the inflow boundary to produce a turbulent profile [20]. The inflow turbulence zone is contained within the five grid cells nearest to the inlet where a mean velocity is prescribed.…”

Section: Inflow Turbulencementioning

confidence: 99%

Large Eddy Simulations of Turbulent and Buoyant Flows in Urban and Complex Terrain Areas Using the Aeolus Model

et al. 2021

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Fast and accurate predictions of the flow and transport of materials in urban and complex terrain areas are challenging because of the heterogeneity of buildings and land features of different shapes and sizes connected by canyons and channels, which results in complex patterns of turbulence that can enhance material concentrations in certain regions. To address this challenge, we have developed an efficient three-dimensional computational fluid dynamics (CFD) code called Aeolus that is based on first principles for predicting transport and dispersion of materials in complex terrain and urban areas. The model can be run in a very efficient Reynolds average Navier–Stokes (RANS) mode or a detailed large eddy simulation (LES) mode. The RANS version of Aeolus was previously validated against field data for tracer gas and radiological dispersal releases. As a part of this work, we have validated the Aeolus model in LES mode against two different sets of data: (1) turbulence quantities measured in complex terrain at Askervein Hill; and (2) wind and tracer data from the Joint Urban 2003 field campaign for urban topography. As a third set-up, we have applied Aeolus to simulate cloud rise dynamics for buoyant plumes from high-temperature explosions. For all three cases, Aeolus LES predictions compare well to observations and other models. These results indicate that Aeolus LES can be used to accurately simulate turbulent flow and transport for a wide range of applications and scales.

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Section: Inflow Turbulencementioning

confidence: 99%

Large Eddy Simulations of Turbulent and Buoyant Flows in Urban and Complex Terrain Areas Using the Aeolus Model

et al. 2021

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“…In order to investigate the power extracted from the wind, we used the same computational domain as outlined in the previous section, but used a turbulent perturbation inflow method [17,67] to avoid any correlation resulting from the periodic inflow and outflow previously used and to decrease the flow development times associated with periodic simulations. We use a friction velocity of 0.68 m/s and a z 0 of 0.3 m. The inlet profile is depicted in Figure 5.13.…”

Section: Control Volume Analysis For Power Estimationmentioning

confidence: 99%

Wind Farm Power Prediction in Complex Terrain

Sandusky¹

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Turbulent Inflow Generation for Large-eddy Simulation of Incompressible Flows Through Buoyancy Perturbations

Cited by 2 publications

References 22 publications

Large Eddy Simulations of Turbulent and Buoyant Flows in Urban and Complex Terrain Areas Using the Aeolus Model

Large Eddy Simulations of Turbulent and Buoyant Flows in Urban and Complex Terrain Areas Using the Aeolus Model

Wind Farm Power Prediction in Complex Terrain

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