Active-wake mixing in atmospheric boundary layers with one-turbine arrays

Dataset · Wed Jan 21 00:00:00 EST 2026

DOI:https://doi.org/10.13139/OLCF/3000779· OSTI ID:3000779

Brown, Kenneth ^[1]; Cheung, Lawrence ^[1]; Yalla, Gopal ^[1]; Houck, Dan ^[1]; deVelder, Nathaniel ^[1]

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1. Sandia National Laboratories

This dataset includes results of high fidelity simulations of a single, offshore wind turbine under a variety of atmospheric conditions. Of primary interest is the turbine performance and wake characteristics when different turbine control strategies are applied, including when wake steering or active wake control are used. The simulations were performed with the LES code AMR-Wind (https://github.com/Exawind/amr-wind/), coupled with OpenFAST (https://github.com/OpenFAST/openfast) and the ROSCO open-source turbine controller (https://github.com/NREL/ROSCO). The turbine used in the simulations is the IEA 15MW reference turbine model.

• Research Organization: Sandia National Laboratories (SNL)
• Sponsoring Organization: Office of Science (SC), Wind Energy Technologies Office (WETO)
• Contributing Organization: Oak Ridge National Laboratory (ORNL), National Renewable Energy Laboratory (NREL)
• DOE Contract Number: NA0003525
• OSTI ID: 3000779
• Country of Publication: United States
• Language: English

Related Subjects

17 WIND ENERGY
exawind
openfast
ROSCO
wind turbines