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Challenges in Wind Turbine Flows

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Presentation on theme: "Challenges in Wind Turbine Flows"— Presentation transcript:

1 WIND TURBINE FLOW ANALYSIS Jean-Jacques Chattot University of California Davis OUTLINE
Challenges in Wind Turbine Flows The Analysis Problem and Simulation Tools The Vortex Model The Hybrid Approach Conclusion GGAM Mini-Conference Saturday, March 31, 2007

2 CHALLENGES IN WIND TURBINE FLOW ANALYSIS
Vortex Structure - importance of maintaining vortex structure D - free wake vs. prescribed wake models High Incidence on Blades - separated flows and 3-D viscous effects Unsteady Effects - yaw, tower interaction, earth boundary layer Blade Flexibility

3 CHALLENGES IN WIND TURBINE FLOW ANALYSIS

4 THE ANALYSIS PROBLEM AND SIMULATION TOOLS
Actuator Disk Theory (1-D Flow) Empirical Dynamic Models (Aeroelasticity) Vortex Models - prescribed wake + equilibrium condition - free wake Euler/Navier-Stokes Codes - 10 M grid points, still dissipates wake - not practical for design

5 REVIEW OF VORTEX MODEL Goldstein Model Simplified Treatment of Wake
Rigid Wake Model “Ultimate Wake” Equilibrium Condition Base Helix Geometry Used for Steady and Unsteady Flows Application of Biot-Savart Law Blade Element Flow Conditions 2-D Viscous Polar

6 GOLDSTEIN MODEL Vortex sheet constructed as perfect helix with variable pitch

7 SIMPLIFIED TREATMENT OF WAKE
No stream tube expansion, no sheet edge roll-up (second-order effects) Vortex sheet constructed as perfect helix called the “base helix” corresponding to zero yaw

8 “ULTIMATE WAKE” EQUILIBRIUM CONDITION
Induced axial velocity from average power:

9 BASE HELIX GEOMETRY USED FOR STEADY AND UNSTEADY FLOWS
Vorticity is convected along the base helix, not the displaced helix, a first-order approximation

10 APPLICATION OF BIOT-SAVART LAW

11 BLADE ELEMENT FLOW CONDITIONS

12 2-D VISCOUS POLAR S809 profile at Re=500,000 using XFOIL
+ linear extrapolation to

13 NONLINEAR TREATMENT Discrete equations: If Where

14 NONLINEAR TREATMENT If is the coefficient of artificial viscosity
Solved using Newton’s method

15 CONVECTION IN THE WAKE Mesh system: stretched mesh from blade
To x=1 where Then constant steps to Convection equation along vortex filament j: Boundary condition

16 CONVECTION IN THE WAKE

17 ATTACHED/STALLED FLOWS
Blade working conditions: attached/stalled

18 RESULTS: STEADY FLOW Power output comparison

19 RESULTS: YAWED FLOW Time-averaged power versus velocity at different yaw angles =5 deg =10 deg =20 deg =30 deg

20 HYBRID APPROACH Use Best Capabilities of Physical Models
- Navier-Stokes for near-field viscous flow - Vortex model for far-field inviscid wake Couple Navier-Stokes with Vortex Model - improved efficiency - improved accuracy

21 HYBRID METHODOLOGY Navier-Stokes Vortex Method
Vortex Filament Biot-Savart Law (discrete) Boundary of Navier-Stokes Zone Converged for … Bound Vortex Fig. 1 Coupling Methodology

22 RECENT PUBLICATIONS J.-J. Chattot, “Helicoidal vortex model for steady and unsteady flows”, Computers and Fluids, Special Issue, 35, : (2006). S. H. Schmitz, J.-J. Chattot, “A coupled Navier-Stokes/Vortex-Panel solver for the numerical analysis of wind turbines”, Computers and Fluids, Special Issue, 35: (2006). J. M. Hallissy, J.J. Chattot, “Validation of a helicoidal vortex model with the NREL unsteady aerodynamic experiment”, CFD Journal, Special Issue, 14: (2005). S. H. Schmitz, J.-J. Chattot, “A parallelized coupled Navier-Stokes/Vortex-Panel solver”, Journal of Solar Energy Engineering, 127: (2005). J.-J. Chattot, “Extension of a helicoidal vortex model to account for blade flexibility and tower interference”, Journal of Solar Energy Engineering, 128: (2006). S. H. Schmitz, J.-J. Chattot, “Characterization of three-dimensional effects for the rotating and parked NREL phase VI wind turbine”, Journal of Solar Energy Engineering, 128: (2006). J.-J. Chattot, “Helicoidal vortex model for wind turbine aeroelastic simulation”, Computers and Structures, to appear, 2007.

23 CONCLUSIONS Vortex Model: simple, efficient, can be used for design
Stand-alone Navier-Stokes: too expensive, dissipates wake, cannot be used for design Hybrid Model: takes best of both models to create most efficient and reliable simulation tool Next Frontier: aeroelasticity and multidisciplinary design

24 APPENDIX A UAE Sequence Q V=8 m/s Dpitch=18 deg CN at 80%

25 APPENDIX A UAE Sequence Q V=8 m/s Dpitch=18 deg CT at 80%

26 APPENDIX A UAE Sequence Q V=8 m/s Dpitch=18 deg

27 APPENDIX A UAE Sequence Q V=8 m/s Dpitch=18 deg

28 APPENDIX B Optimum Rotor R=63 m P=2 MW

29 APPENDIX B Optimum Rotor R=63 m P=2 MW

30 APPENDIX B Optimum Rotor R=63 m P=2 MW

31 APPENDIX B Optimum Rotor R=63 m P=2 MW

32 APPENDIX B Optimum Rotor R=63 m P=2 MW

33 APPENDIX B Optimum Rotor R=63 m P=2 MW

34 APPENDIX B Optimum Rotor R=63 m P=2 MW

35 APPENDIX C Homogeneous blade; First mode

36 APPENDIX C Homogeneous blade; Second mode

37 APPENDIX C Homogeneous blade; Third mode

38 APPENDIX C Nonhomogeneous blade; M’ distribution

39 APPENDIX C Nonhomog. blade; EIx distribution

40 APPENDIX C Nonhomogeneous blade; First mode

41 APPENDIX C Nonhomogeneous blade; Second mode

42 APPENDIX C Nonhomogeneous blade; Third mode

43 TOWER SHADOW MODEL DOWNWIND CONFIGURATION


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