Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session A14: Wind Energy: Modeling and Simulation
8:00 AM–9:57 AM,
Sunday, November 18, 2018
Georgia World Congress Center
Room: B301
Chair: Charles Meneveau, Johns Hopkins University
Abstract ID: BAPS.2018.DFD.A14.1
Abstract: A14.00001 : Toward validation of an overset CFD flow solver for wind energy applications.*
8:00 AM–8:13 AM
Presenter:
Enrico Fabiano
(NREL)
Authors:
Enrico Fabiano
(NREL)
Shreyas Ananthan
(NREL)
Jayanarayanan Sitaraman
(Parallel Geometric Algorithms LLC)
Michael Alan Sprague
(NREL)
The analysis and design of the next generation of wind farms relies on the accurate numerical prediction of the turbulent airflow around multiple wind turbines. This computational aerodynamic problem is characterized by an atmospheric turbulent inflow, multiple bodies in relative motion, i.e. rotors and towers, and complex wake interactions. Furthermore, the size of the computational domain requires the numerical resolution of length scales that vary from several kilometers to the viscous length scales of the boundary layer of the blades. Overset-grids Computational Fluid Dynamics methods (CFD) offer an elegant and efficient solution for the simulation of blade-resolved wind farm aerodynamic problems: multiple body-conforming meshes can be embedded in several wake-capturing grids of different resolution. In this work, we present the initial validation of Nalu-Wind, an overset unstructured CFD flow solver for wind energy applications. The accuracy of the newly implemented overset methodology is investigated by simulating the complex unsteady airflow around a modern wind turbine airfoil and the turbulent flow around a NACA 0015 wing.
*This work was funded by the U.S. Department of Energy under Contract No. DE-AC36-08-GO28308 with the National Renewable Energy Laboratory.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.A14.1
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