Active-wake mixing in atmospheric boundary layers with one-turbine arrays
- Brown, Kenneth | Sandia National Laboratories
- Cheung, Lawrence | Sandia National Laboratories
- Yalla, Gopal | Sandia National Laboratories
- Houck, Dan | Sandia National Laboratories
- deVelder, Nathaniel | Sandia National Laboratories
Overview
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 Resources
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), DOE Wind Energy Technologies Office (WETO)Project Identifier
CFD162Related Resources
- IsSourceOf (DOI): https://doi.org/10.5194/wes-10-1403-2025
- IsSourceOf (DOI): https://doi.org/10.5194/wes-10-1737-2025
Details
DOI
10.13139/OLCF/3000779Release Date
January 21, 2026Dataset
Dataset Type
AS Animations/SimulationsSoftware
PythonAcknowledgements
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.
Category
- 17 WIND ENERGY
Keywords
- wind turbines,
- exawind,
- openfast,
- ROSCO