Active-wake mixing in atmospheric boundary layers with one-turbine arrays
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Kenneth Brown | Sandia National Laboratories
Lawrence Cheung | Sandia National Laboratories
Gopal Yalla | Sandia National Laboratories
Dan Houck | Sandia National Laboratories
Nathaniel deVelder | Sandia National Laboratories
Description
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.
Funding Information
DOE Contract Number
DE-NA0003525Originating Research Organization
Sandia National Laboratories (SNL)Other Contributing Organizations
Oak Ridge National Laboratory (ORNL), National Renewable Energy Laboratory (NREL)Sponsoring Organization
Office of Science (SC), Wind Energy Technologies Office (WETO)Related Works
- IsSourceOf (DOI): https://doi.org/10.5194/wes-10-1403-2025
- IsSourceOf (DOI): https://doi.org/10.5194/wes-10-1737-2025
Details
Release Date
January 21, 2026Subject
17 WIND ENERGYKeywords
wind turbines, exawind, openfast, ROSCODataset
Dataset Type
AS Animations/SimulationsSoftware
PythonCite This Dataset:
Brown, K., Cheung, L., Yalla, G., Houck, D., deVelder, N. (2026). Active-wake mixing in atmospheric boundary layers with one-turbine arrays. Oak Ridge National Laboratory. https://doi.org/10.13139/OLCF/3000779.
Acknowledgements
This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Advanced Scientific Computing Research programs in the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.