edu.ucar.opensky::articles:42303 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T18:03:25.086794 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.net/ark:/85065/d7b280kk Implementation and validation of a generalized actuator disk parameterization for wind turbine simulations within the FastEddy Model 2024-11-01T00:00:00Z publication https://n2t.net/ark:/85065/d7b280kk https://doi.org/10.1002/we.2941 Sanchez Gomez, M. author Muñoz-Esparza, Domingo author Sauer, Jeremy author UCAR/NCAR - Library publisher Fast and accurate large&#8208;eddy simulation (LES) of the atmospheric boundary layer plays a crucial role in advancing wind energy research. Long&#8208;duration wind farm studies at turbine&#8208;resolving scales have become increasingly important to understand the intricate interactions between large wind farms and the atmospheric boundary layer. However, the prohibitive computational cost of these turbulence&#8208; and turbine&#8208;resolving simulations has precluded such modeling to be exercised on a regular basis. To that end, we implement and validate the generalized actuator disk (GAD) model in the computationally efficient, graphics processing unit (GPU)&#8211;resident, LES model FastEddy. We perform single&#8208;turbine simulations under three atmospheric stabilities (neutral, unstable, and stable) and compare them against observations from the Scaled Wind Farm Technology (SWiFT) facility and other LES codes from the recent Wakebench turbine wake model benchmark. Our idealized LES results agree well with observed wake velocity deficit and downstream recovery across stability regimes. Turbine response in terms of rotational speed, generated power, torque, and thrust coefficient are well predicted across stability regimes and are consistent with the LES results from the benchmark. The FastEddy simulations are found to be at least two orders of magnitude more efficient than the traditional CPU&#8208;based LES models, opening the door for realistic LES simulations of full wind plants as a viable standard practice. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication <style type="text/css"></style><span style="font-family:Arial;font-size:10pt;font-style:normal;" data-sheets-root="1">Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</span> None eng geoscientificInformation