3d dynamic stall modelling on the nrel phase vi parked blade alvaro gonzalez xabier munduate 47th...
TRANSCRIPT
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3D Dynamic Stall Modelling
on the NREL phase VI
Parked Blade
ALVARO GONZALEZ
XABIER MUNDUATE
47th AIAA Aerospace Sciences Meeting and Exhibit
Orlando, Florida, 5 – 8 Jan 2009
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Contents
Background and Motivation How DS differs 2D-3D:
Experimental analysis dynamic stall 2D S809 aerofoil sinusoidal pitching Parked Blade under the same motions
Why DS differs 2D-3D:Dynamic stall modelling Parked blade
Conclusions
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Background and Motivation
Understanding of the 3D unsteady aerodynamics. Particularly dynamic stall on a Parked Blade.
Reduce uncertainty on loads prediction. Current deviations up to 30% on loads calculations.
Traditionally “loads envelop” implies Parked blade unsteady aerodynamics loads to be a design driver that constrain the blade platform tailoring.
Wind turbine blade unsteady load calculations still relay on 2D sectional steady data.
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How and Why 3D Dynamic Stall
2D S809 AEROFOIL sinusoidal oscillatory pitching from OSU.
PARKED BLADE NREL PHASE VISequence O, the same sinusoidal oscillatory pitching than OSU.
BASED ON 2D S809 STEADY DATAfrom OSU.
BASED ON SECTIONAL PARKED BLADE STEADY DATA NREL PHASE VISequence L.
3D DYNAMIC STALL STUDY3D DYNAMIC STALL STUDY
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NREL phase VI parked blade experimental data
NREL phase VI Parked blade Sequence O.
Sinusoidal motions of the blade at 12 o’clock position.
Oscillations AOA=8±10 deg and AOA=20 ±10 deg
30% 47% and 80% blade span sections
Low and high reduced frequency pitching motions:
k= 0.025 and k= 0.075.
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How DS differs 2D-3D:Experimental analysis dynamic stall
Parked blade 30% section.
AOA=8±10deg.
k=0.025
Parked blade 30% section.
AOA=8±10deg.
k=0.025
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How DS differs 2D-3D:Experimental analysis dynamic stall
Parked blade 47% section.
AOA=8±10deg.
k=0.025
Parked blade 47% section.
AOA=8±10deg.
k=0.025
![Page 8: 3D Dynamic Stall Modelling on the NREL phase VI Parked Blade ALVARO GONZALEZ XABIER MUNDUATE 47th AIAA Aerospace Sciences Meeting and Exhibit Orlando,](https://reader035.vdocuments.net/reader035/viewer/2022062421/56649e205503460f94b0bbed/html5/thumbnails/8.jpg)
How DS differs 2D-3D:Experimental analysis dynamic stall
Parked blade 80% section.
AOA=8±10deg.
k=0.025
Parked blade 80% section.
AOA=8±10deg.
k=0.025
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Why DS differs 2D-3D: Dynamic stall modelling
Cm Prediction Parked blade 30% section.AOA=8±10deg.
k=0.025
Cm Prediction Parked blade 30% section.AOA=8±10deg.
k=0.025
Cn Prediction Parked blade 30% section.AOA=8±10deg.
k=0.025
Cn Prediction Parked blade 30% section.AOA=8±10deg.
k=0.025
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Why DS differs 2D-3D: Dynamic stall modelling
Cm Prediction Parked blade 47% section.AOA=20±10deg.
k=0.025
Cm Prediction Parked blade 47% section.AOA=20±10deg.
k=0.025
Cn Prediction Parked blade 47% section.AOA=20±10deg.
k=0.025
Cn Prediction Parked blade 47% section.AOA=20±10deg.
k=0.025
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Why DS differs 2D-3D: Dynamic stall modelling
Cm Prediction Parked blade 80% section.AOA=20±10deg.
k=0.025
Cm Prediction Parked blade 80% section.AOA=20±10deg.
k=0.025
Cn Prediction Parked blade 80% section.AOA=20±10deg.
k=0.025
Cn Prediction Parked blade 80% section.AOA=20±10deg.
k=0.025
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Conclusions
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THANK YOU FOR YOUR ATTENTION
THANK YOU FOR YOUR ATTENTION