SST k-omega Simulations of the Atmospheric Boundary Layer Including the Coriolis Effect

ORAL

Abstract

For large-scale structures in the atmospheric boundary layer (ABL), the Coriolis effect and near-wall turbulence can meaningfully impact aerodynamic performance. For example, the Coriolis effect and blade boundary layers affect wind farm power production. RANS simulations of the ABL typically use the k-epsilon turbulence model, which has been modified to accurately capture the Coriolis effect but does not perform well near walls. The SST k-omega turbulence model accurately predicts near wall turbulence but not the Coriolis effect. We propose a modification to SST k-omega to better represent the Coriolis effect. We contrast how to modify k-epsilon and SST k-omega for the Coriolis effect. Finally, we compare k-epsilon and SST k-omega simulations of the ABL, including the Coriolis effect, with large eddy simulations and measurements.

*This work was supported by the U.S. Department of Energy (DOE) CSGF (DE-SC0019323) and authored in part by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy LLC for the DOE (Contract No. DE-AC36-08GO28308). Funding from the DOE EERE Wind Energy Technologies Office and the Exascale Computing Project (17-SC-20-SC). The views expressed in the article do not necessarily represent the views of the DOE or U.S. Government.

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Publication: Adcock, C., Henry de Frahan, M., Melvin, J., Vijayakumar, G., Ananthan, S., Iaccarino, G., Moser, R., Sprague, M., "Hybrid RANS-LES of the Atmospheric Boundary Layer for Wind Farm Simulations", AIAA Scitech, 2022 (submitted.)

Presenters

  • Christiane Adcock

    • Stanford University

Authors

  • Christiane Adcock

    • Stanford University

  • Marc T Henry de Frahan

    • National Renewable Energy Laboratory

  • Jeremy Melvin

    • University of Texas at Austin

  • Ganesh Vijayakumar

    • National Renewable Energy Laboratory

  • Gianluca Iaccarino

    • Stanford University
    • Department of Mechanical Engineering, Stanford University
    • Mechanical Engineering Department, Stanford University, USA

  • Robert D Moser

    • University of Texas at Austin
    • The University of Texas at Austin
    • UT Austin

  • Michael A Sprague

    • National Renewable Energy Laboratory