Publications

Herges, Thomas H.; Hsieh, Alan H.; Maniaci, David C.; Naughton, Brian T.

Abstract not provided.

Blaylock, Myra L.; Houchens, Brent C.; Maniaci, David C.; Herges, Thomas H.; Hsieh, Alan H.; Knaus, Robert C.; Sakievich, Philip S.

Abstract not provided.

ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, AJKFluids 2019

Blaylock, Myra L.; Houchens, Brent C.; Maniaci, David C.; Herges, Thomas H.; Hsieh, Alan H.; Knaus, Robert C.; Sakievich, Philip S.

Power production of the turbines at the Department of Energy/Sandia National Laboratories Scaled Wind Farm Technology (SWiFT) facility located at the Texas Tech University’s National Wind Institute Research Center was measured experimentally and simulated for neutral atmospheric boundary layer operating conditions. Two V27 wind turbines were aligned in series with the dominant wind direction, and the upwind turbine was yawed to investigate the impact of wake steering on the downwind turbine. Two conditions were investigated, including that of the leading turbine operating alone and both turbines operating in series. The field measurements include meteorological evaluation tower (MET) data and light detection and ranging (lidar) data. Computations were performed by coupling large eddy simulations (LES) in the three-dimensional, transient code Nalu-Wind with engineering actuator line models of the turbines from OpenFAST. The simulations consist of a coarse precursor without the turbines to set up an atmospheric boundary layer inflow followed by a simulation with refinement near the turbines. Good agreement between simulations and field data are shown. These results demonstrate that Nalu-Wind holds the promise for the prediction of wind plant power and loads for a range of yaw conditions.