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Active Aerodynamic Load Control for Wind Turbine Blades

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EWEC 2006 Aerodynamics, Aero-Elasticity, Aero-Acoustics, Loads. 4. Active Flow/Load Control ... EWEC 2006 Aerodynamics, Aero-Elasticity, Aero-Acoustics, Loads. 17 ... – PowerPoint PPT presentation

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Title: Active Aerodynamic Load Control for Wind Turbine Blades


1
Active Aerodynamic Load Control for Wind Turbine
Blades
  • Jose R. Zayas
  • Sandia National Laboratories
  • C.P. van Dam, R. Chow, J.P. Baker, E.A. Mayda
  • University of California - Davis

Sandia is a multiprogram laboratory operated by
Sandia Corporation, a Lockheed Martin
Company,for the United States Department of
Energy under contract DE-AC04-94AL85000.
2
Outline
  • Problem Statement and Goal
  • Active Control Background
  • Microtab Motivation
  • CFD work
  • Wind tunnel results
  • Modeling Tools
  • Future Work
  • Conclusion

3
Problem Statement Goal
  • With Wind Turbines Blades Getting larger and
    Heavier, Can the Rotor Weight be Reduced by
    Adding Active Devices?
  • Can Active Control be Used to Reduce Fatigue
    Loads?
  • Can Energy Capture in Low Wind Conditions be
    Improved?
  • Research Goal

Understand the Implications and Benefits of
Embedded Active Blade Control, Used to Alleviate
High Frequency Dynamics
4
Active Flow/Load Control
  • Blade Load Variations Due to Wind Gusts,
    Direction Changes, and Large Scale Turbulence
  • Active Load Control on Blade/Turbine can be
    Achieved by Modifying
  • Blade incidence angle (pitch)
  • Flow velocity (modification in RPM)
  • Blade length
  • Blade aerodynamic characteristics through
  • Changes in section shape (aileron, smart
    materials, microtab)
  • Surface blowing/suction
  • Other flow control techniques (VGs, surface
    heating, plasma)

5
Active Flow/Load Control
  • Active Load Control
  • May remove fundamental design constraints
  • These large benefits are feasible if active
    control technology is considered from the onset
  • May allow for lighter more slender blades designs
  • Active Load Control has Already been Implemented
    in Wind Turbine Design. e.g.
  • Yaw control
  • Blade pitch control
  • Blade aileron (Zond 750)

6
Active Flow/Load Control
Courtesy NREL
Active Aileron on a Zond 750 Blade
7
Gurney Flap (Passive)
  • Gurney Flap (Liebeck, 1978)
  • Significant increases in CL
  • Relatively small increases in CD
  • Properly sized Gurney flaps ? increases in L/D

8
Microtab Concept
  • Evolutionary Development of Gurney flap
  • Tab Near Trailing Edge Deploys Normal to Surface
  • Deployment Height on the Order of the Boundary
    Layer Thickness
  • Effectively Changes Sectional Camber and Modifies
    Trailing Edge Flow Development (so-called Kutta
    condition)

9
Microtab Concept
  • Small, Simple, Fast Response
  • Retractable and Controllable
  • Lightweight, Inexpensive
  • Two-Position ON-OFF Actuation
  • Low Power Consumption
  • No Hinge Moments
  • Expansion Possibilities (scalability)
  • Do Not Require Significant Changes to
    Conventional Lifting Surface Design (i.e.,
    manufacturing or materials)

10
Microtab Research Approach
  • Wind-Tunnel Based Physical Simulations
  • Pros
  • Proof that concept works as advertised
  • Cons
  • Requires extensive experimental resources
  • Can be expensive and time consuming
  • Limited to modest chord Reynolds numbers
  • CFD-Based Numerical Simulations
  • Pros
  • Relatively fast and inexpensive to study a large
    number of geometric variations
  • Provides detailed insight to the flow-field
    phenomena
  • Cons
  • Requires extensive computational resources
    (software hardware)
  • Learning curve for CFD is steep

11
Microtab Research Approach
  • Current Study uses a Closely-Coupled
    Collaboration Between Computational Fluid
    Dynamics (CFD) and Wind Tunnel Experimentation
  • Wind Turbine Dynamic Simulation
  • Pros
  • Gives understanding on the effects to the entire
    system
  • Cost effective in comparison to field testing
  • Mature codes
  • Cons
  • Difficult to capture all of the physics in the
    model
  • Requires insight and careful validation of the
    results

Final Goal is to Fly an Effective, Robust Active
Load Control System on a Wind Turbine
12
CFD Methods
  • ARC2D
  • Compressible 2D RANS
  • One-equation Spalart-Allmaras turbulence model
  • OVERFLOW 2.0y
  • Compressible 3D RANS
  • Structured Chimera overset grids
  • Multiple turbulence models
  • Spalart-Allmaras
  • Menters k-? SST model

13
CFD Methods
  • Grid Generation
  • Chimera Grid Tools 1.9
  • Structured O- and C-type grids
  • 350 to 400 surface grid points
  • y lt 1.0 for all viscous surfaces

14
Wind Tunnel Methods
  • Open Circuit, Low Subsonic
  • Test Section Dimensions
  • Cross section 0.86 m ? 1.22 m (2.8 ft ? 4.0 ft)
  • Length 3.66 m (12 ft)
  • Low Turbulence lt 0.1 FS for 80 of test section

15
Wind Tunnel Methods
  • Force Measurement
  • Lift and moment determined using 6-component
    pyramidal balance
  • Drag determined using wake measurements
  • Pitot-static probe measurements
  • Based on Jones Method

16
Wind Tunnel -vs- CFD
S809 Baseline Airfoil 1.1 chord tab 95 x/c
lower surface Re 1106 Ma 0.17
  • Results Repeatedly Show Excellent Agreement
    Between Computations and Experiment

17
Full System Modeling - Background
  • Wind Turbine Model
  • Micon 65 Stall Regulated
  • 3-bladed upwind
  • Model results have been verified with field data
  • Dynamic Simulation Tools
  • NuMAD (Numerical Manufacturing and Design Tool)
  • ANSYS FEA preprocessor
  • Blade property extraction tool (BPE)
  • FAST (Fatigue, Aerodynamics, Structures, and
    Turbulence)
  • Modal representation
  • Limited degrees of freedom
  • Used as a preprocessor to ADAMS
  • ADAMS (Automatic Dynamic Analysis of Mechanical
    Systems)
  • Commercial multi body dynamic simulation software
  • Virtually unlimited degrees of freedom

Micon 65 ADAMS Model
NuMAD FEA Model
18
FAST vs- ADAMS
Codes Provide Virtually Identical Results
19
Determining Blade Solidity
  • Outboard Portion of the Blades is Analyzed

20
Dynamic Effect of Microtabs(no control)
Microtabs Deployed for the Entire Simulation
21
Controlled Microtab Results
Microtabs Response Using Simple Controller
22
Future Work
  • Develop and Analyze Active Control Microtab
    Airfoil Model for the Wind Tunnel Testing
  • Quantify Potential Benefits of Microtabs for
    Increase Energy Capture
  • Analyze other Potential Devices (flaps,
    spoilers,)
  • Model Devices on a Variable Speed / Variable
    Pitch Machine (in progress)
  • Develop a MATLAB Simulink Controller for Active
    Devices

23
Conclusion
  • Potential Advantages of Active Control have been
    Investigated
  • Microtab Analysis has been Quantified both
    Computationally and Experimentally
  • Potential Microtab Benefits have been
    Demonstrated on a Full System Model
  • Active Devices may Provide Substantial Benefit
    for Future Wind Turbine Designs

24
Thank You!!
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