Dissertation/Thesis Abstract

Unsteady Hybrid Navier-Stokes/Vortex Model for Numerical Study of Horizontal Axis Wind Turbine Aerodynamics under Yaw Conditions
by Suzuki, Kensuke, Ph.D., University of California, Davis, 2012, 203; 3540795
Abstract (Summary)

A new analysis tool, an unsteady Hybrid Navier-Stokes/Vortex Model, for a horizontal axis wind turbine (HAWT) in yawed flow is presented, and its convergence and low cost computational performance are demonstrated. In earlier work, a steady Hybrid Navier-Stokes/Vortex Model was developed with a view to improving simulation results obtained by participants of the NASA Ames blind comparison workshop, following the NREL Unsteady Aerodynamics Experiment. The hybrid method was shown to better predict rotor torque and power over the range of wind speeds, from fully attached to separated flows. A decade has passed since the workshop was held and three dimensional unsteady Navier-Stokes analyses have become available using super computers. In the first chapter, recent results of unsteady Euler and Navier-Stokes computations are reviewed as standard references of what is currently possible and are contrasted with results of the Hybrid Navier-Stokes/Vortex Model in steady flow. In Chapter 2, the computational method for the unsteady Hybrid model is detailed. The grid generation procedure, using ICEM CFD, is presented in Chapter 3. Steady and unsteady analysis results for the NREL Phase IV rotor and for a modified "swept NREL rotor" are presented in Chapter 4-Chapter 7.

Indexing (document details)
Advisor: Chattot, Jean-Jacques
Commitee: Chattot, Jean-Jacques, Hafez, Mohamed M., Kollmann, Wolfgang
School: University of California, Davis
Department: Mechanical and Aeronautical Engineering
School Location: United States -- California
Source: DAI-B 74/02(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Computer Engineering, Aerospace engineering, Energy
Keywords: Aerodynamics, Dual time steps, Hybrid method, Unsteady flow, Vortex method, Wind turbine
Publication Number: 3540795
ISBN: 9781267663870
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