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Title: Twelve turbine wind farm simulation with AMR-Wind

Abstract

This dataset contains simulation data of a twelve turbine wind farm simulation performed with AMR-Wind. The simulation is documented in Kuhn, M. B., Henry de Frahan, M. T., Mohan, P., Deskos, G., Churchfield, M., Cheung, L., ... & Sprague, M. (2025). AMR‐Wind: A Performance‐Portable, High‐Fidelity Flow Solver for Wind Farm Simulations. Wind Energy, 28(5), e70010 (https://doi.org/10.1002/we.70010).

Authors:
; ;
  1. National Renewable Energy Laboratory
  2. Sandia National Laboratories
Publication Date:
DOE Contract Number:  
AC36-08GO28308; NA0003525
Research Org.:
National Renewable Energy Laboratory
Sponsoring Org.:
Office of Science (SC)
Subject:
17 WIND ENERGY; amr-wind; computational fluid dynamics; openfast; wind energy; wind farm; wind turbines
OSTI Identifier:
2589550
DOI:
https://doi.org/10.13139/OLCF/2589550

Citation Formats

Henry de Frahan, Marc T., Cheung, Lawrence, and Sprague, Michael A. Twelve turbine wind farm simulation with AMR-Wind. United States: N. p., 2025. Web. doi:10.13139/OLCF/2589550.
Henry de Frahan, Marc T., Cheung, Lawrence, & Sprague, Michael A. Twelve turbine wind farm simulation with AMR-Wind. United States. doi:https://doi.org/10.13139/OLCF/2589550
Henry de Frahan, Marc T., Cheung, Lawrence, and Sprague, Michael A. 2025. "Twelve turbine wind farm simulation with AMR-Wind". United States. doi:https://doi.org/10.13139/OLCF/2589550. https://www.osti.gov/servlets/purl/2589550. Pub date:Thu Oct 02 04:00:00 UTC 2025
@article{osti_2589550,
title = {Twelve turbine wind farm simulation with AMR-Wind},
author = {Henry de Frahan, Marc T. and Cheung, Lawrence and Sprague, Michael A.},
abstractNote = {This dataset contains simulation data of a twelve turbine wind farm simulation performed with AMR-Wind. The simulation is documented in Kuhn, M. B., Henry de Frahan, M. T., Mohan, P., Deskos, G., Churchfield, M., Cheung, L., ... & Sprague, M. (2025). AMR‐Wind: A Performance‐Portable, High‐Fidelity Flow Solver for Wind Farm Simulations. Wind Energy, 28(5), e70010 (https://doi.org/10.1002/we.70010).},
doi = {10.13139/OLCF/2589550},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Oct 02 04:00:00 UTC 2025},
month = {Thu Oct 02 04:00:00 UTC 2025}
}