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

Christiane Adcock, Marc Henry de Frahan, Jeremy Melvin, Ganesh Vijayakumar, Shreyas Ananthan, Gianluca Iaccarino, Robert Moser, Michael Sprague

Research output: NRELPresentation

Abstract

For large-scale structures in the atmospheric boundary layer (ABL), the Coriolis effect and near-wall behavior can have a meaningful impact. For example, both the Coriolis effect and blade boundary layer impact how muchpower wind farms produce. RANS simulations of the ABL typically use the ..kappa..-epsilon turbulence model, which has been developed to accurately capture the Coriolis effect but typically does not perform well near walls. The SST ..kappa..-..omega.. turbulence model performs well near walls but does not accurately capture the Coriolis effect. This work modifies SST ..kappa..-..omega.. to accurately model the Coriolis effect. We discuss the similarities and differences in how to modify ..kappa..-epsilon and SST ..kappa..-..omega.. for the Coriolis effect. Finally, we compare ..kappa..-epsilon and SST ..kappa..-..omega.. simulations of the ABL, including the Coriolis effect, with large eddy simulations and measurements.
Original languageAmerican English
Number of pages20
StatePublished - 2021

Publication series

NamePresented at the 74th Annual Meeting of the APS Division of Fluid Dynamics, 21-23 November 2021, Phoenix, Arizona

NREL Publication Number

  • NREL/PR-2C00-80601

Keywords

  • atmospheric boundary layer
  • computational fluid dynamics
  • reynolds average navier stokes
  • turbulence
  • wind energy

Fingerprint

Dive into the research topics of 'SST ..kappa..-..omega.. Simulations of the Atmospheric Boundary Layer Including the Coriolis Effect'. Together they form a unique fingerprint.

Cite this