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High fidelity actuator line data from 9 turbine wind farm simulations using ExaWind

    Gopal R Yalla | Sandia National Laboratories
    Lawrence Cheung | Sandia National Laboratories
    Kenneth Brown | Sandia National Laboratories
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Description

This data was generated with the ExaWind code suite (https://github.com/Exawind) to investigate the performance of different Active Wake Mixing turbine control in a wind farm situated in a stable atmospheric boundary layer. All cases correspond to a 3x3 wind farm in a 10km x 10km domain using a total mesh size that varied between 1.6 X 10^9 to 1.85 X 10^9 grid cells. The simulations were run across 1800-2000 GPUs on Frontier. The case description and data generation process is fully documented in Yalla, G. R., Brown, K., Cheung, L., Houck, D., deVelder, N., and Balaji, J. (2025). "Estimating annual energy production of wake mixing control strategies including comparisons to wake steering." Wind Energy Sciences (https://doi.org/10.5194/wes-2025-250).

Funding Information

DOE Contract Number

DE-NA0003525; DE-AC36-08GO28308

Originating Research Organization

Sandia National Laboratories, Albuquerque, NM (United States)

Other Contributing Organizations

Oak Ridge National Laboratory (ORNL)

Sponsoring Organization

Office of Science; Wind Energy Technology Office, Office of Technology Commercialization

Related Works

Details

Release Date

April 8, 2026

Subject

17 WIND ENERGY

Keywords

wind farm, exawind

Dataset

Dataset Type

ND Numeric Data

Cite This Dataset:

Yalla, G., Cheung, L., Brown, K. (2026). High fidelity actuator line data from 9 turbine wind farm simulations using ExaWind. Oak Ridge National Laboratory. https://doi.org/10.13139/OLCF/3012440.

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.