High fidelity blade-resolved and actuator line data from a 16 turbine wind farm simulation using ExaWind

Cheung, Lawrence; Henry de Frahan, Marc; Sprague, Michael

doi:10.13139/OLCF/3003276

Title: High fidelity blade-resolved and actuator line data from a 16 turbine wind farm simulation using ExaWind

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Abstract

This data was generated with the ExaWind code suite (https://github.com/Exawind) as a demonstration of a large, 16 turbine wind farm simulation, calculated using two different levels of fidelity. The lower level of fidelity approach uses an actuator line approach to represent the turbines, and was simulated with AMR-Wind (https://github.com/Exawind/amr-wind/) as the background flow solver, coupled to OpenFAST (https://github.com/OpenFAST/openfast). The higher level of fidelity simulation uses a blade-resolved approach, and is done using AMR-Wind, Nalu-Wind (https://github.com/Exawind/nalu-wind), OpenFAST, and TIOGA (https://github.com/Exawind/tioga). In the blade-resolved simulation, ExaWind couples together a background flow solver, AMR-Wind, and a near-body solver, Nalu-Wind, through an overset technique from the TIOGA application. OpenFAST handles the structural dynamics of the turbine blades and towers, which informs the fluid-structure interaction of the wind turbines with the flow solvers. In the actuator line simulation, a mesh of 295M elements was used for a 5km x 5km domain, and it was simulated using 256 nodes (2048 GPU's) on the Oak Ridge Leadership Computing Facility Frontier supercomputer. For the blade-resolved simulation, 1.5B element mesh was used in the AMR-Wind background 5km x 5km domain, and 16M elements were used for each turbine in the Nalu-Wind domains, for a total of 1.7B elements. Thismore »« less

Authors:

;

Sandia National Laboratory
National Renewable Energy Laboratory

Publication Date:: Wed Dec 10 04:00:00 UTC 2025

DOE Contract Number:: NA0003525; AC36-08GO28308

Research Org.:: Sandia National Laboratories

Sponsoring Org.:: Office of Science (SC); Wind Energy Technology Office (WETO)

Collaborations:: National Renewable Energy Laboratory (NREL), Oak Ridge National Laboratory (ORNL)

Subject:: 17 WIND ENERGY; amr-wind; computational fluid dynamics; exawind; nalu-wind; openfast; wind energy; wind farm; wind turbines

OSTI Identifier:: 3003276

DOI:: https://doi.org/10.13139/OLCF/3003276

Citation Formats


                    Cheung, Lawrence, Henry de Frahan, Marc, and Sprague, Michael. High fidelity blade-resolved and actuator line data from a 16 turbine wind farm simulation using ExaWind.  United States: N. p., 2025. 
        Web.  doi:10.13139/OLCF/3003276.

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                    Cheung, Lawrence, Henry de Frahan, Marc, & Sprague, Michael. High fidelity blade-resolved and actuator line data from a 16 turbine wind farm simulation using ExaWind.  United States.  doi:https://doi.org/10.13139/OLCF/3003276

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                    Cheung, Lawrence, Henry de Frahan, Marc, and Sprague, Michael. 2025.  
"High fidelity blade-resolved and actuator line data from a 16 turbine wind farm simulation using ExaWind".  United States.  doi:https://doi.org/10.13139/OLCF/3003276.  https://www.osti.gov/servlets/purl/3003276. Pub date:Wed Dec 10 04:00:00 UTC 2025

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@article{osti_3003276,

  title        = {High fidelity blade-resolved and actuator line data from a 16 turbine wind farm simulation using ExaWind},

  author       = {Cheung, Lawrence and Henry de Frahan, Marc and Sprague, Michael},

  abstractNote = {This data was generated with the ExaWind code suite (https://github.com/Exawind) as a demonstration of a large, 16 turbine wind farm simulation, calculated using two different levels of fidelity. The lower level of fidelity approach uses an actuator line approach to represent the turbines, and was simulated with AMR-Wind (https://github.com/Exawind/amr-wind/) as the background flow solver, coupled to OpenFAST (https://github.com/OpenFAST/openfast). The higher level of fidelity simulation uses a blade-resolved approach, and is done using AMR-Wind, Nalu-Wind (https://github.com/Exawind/nalu-wind), OpenFAST, and TIOGA (https://github.com/Exawind/tioga). In the blade-resolved simulation, ExaWind couples together a background flow solver, AMR-Wind, and a near-body solver, Nalu-Wind, through an overset technique from the TIOGA application. OpenFAST handles the structural dynamics of the turbine blades and towers, which informs the fluid-structure interaction of the wind turbines with the flow solvers. In the actuator line simulation, a mesh of 295M elements was used for a 5km x 5km domain, and it was simulated using 256 nodes (2048 GPU's) on the Oak Ridge Leadership Computing Facility Frontier supercomputer. For the blade-resolved simulation, 1.5B element mesh was used in the AMR-Wind background 5km x 5km domain, and 16M elements were used for each turbine in the Nalu-Wind domains, for a total of 1.7B elements. This was simulated using 384 nodes on Frontier, with each node using 56 cores for Nalu-Wind and 8 GPU cores. The data in this archive includes the turbine outputs from OpenFAST, 2D sampling planes from AMR-Wind, and full-field solution files from AMR-Wind and Nalu-Wind.},

  doi          = {10.13139/OLCF/3003276},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Dec 10 04:00:00 UTC 2025},

  month        = {Wed Dec 10 04:00:00 UTC 2025}

}

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DOI: https://doi.org/10.13139/OLCF/3003276

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