College of Engineering Aerodynamic Effects of Painted Surface Roughness on Wind Turbine Blade Performance 06/09/2015 Liselle A. Joseph Aurelien Borgoltz.

Slides:



Advertisements
Similar presentations
Aerodynamic Characteristics of Airfoils and wings
Advertisements

Drag Reduction of MAV by Biplane Effect
EWEA Annual Event 2013 Vienna February, 4-7, 2013
WIND FORCES ON STRUCTURES
Ashley Brawner Neelam Datta Xing Huang Jesse Jones
Lecture # 3 Airfoil Aerodynamics.
Balls and Air 1 Balls and Air. Balls and Air 2 Introductory Question You give a left (clockwise) spin to a football. Which way does it deflect? You give.
SAE Aero Design Presentation Oct. 30 th Wind Tunnel Testing and Modification Why use wind tunnels? They’re cheaper than most computational fluid.
2010 European Wind Energy Conference Warsaw, Poland 23 April 2010
Optimization of an Axial Nose-Tip Cavity for Delaying Ablation Onset in Hypersonic Flow Sidra I. Silton and David B. Goldstein Center for Aeromechanics.
Separation Control with Nanosecond Pulse Driven Dielectric Barrier Discharge Plasma Actuators Lucio Cota Advisor: Jesse Little Department of Aerospace.
SCALE EFFECTS RELATED TO SMALL SCALE PHYSICAL MODELLING OF OVERTOPPING OF RUBBLE MOUND BREAKWATERS Burcharth & Lykke Andersen Coastal Structures 2007,
Experimental investigations of the flow during the stage separation of a space transportation system Andrew Hay Aerospace Engineering with German.
Flow Over Immersed Bodies
Lesson 13 Airfoils Part II
Parameterised turbine performance Power Curve Working Group – Glasgow, 16 December 2014 Stuart Baylis, Matthew Colls, Przemek Marek, Alex Head.
Classification of Flow Regimes : Blade Profile Losses
Module 5.2 Wind Turbine Design (Continued)
1 CFD Analysis Process. 2 1.Formulate the Flow Problem 2.Model the Geometry 3.Model the Flow (Computational) Domain 4.Generate the Grid 5.Specify the.
Measurements in Fluid Mechanics 058:180 (ME:5180) Time & Location: 2:30P - 3:20P MWF 3315 SC Office Hours: 4:00P – 5:00P MWF 223B-5 HL Instructor: Lichuan.
AE 1350 Lecture Notes #7 We have looked at.. Continuity Momentum Equation Bernoulli’s Equation Applications of Bernoulli’s Equation –Pitot’s Tube –Venturi.
SPN7 Numerical investigations on the influence of hydraulic boundary conditions on the efficiency of sewer flushing Dr.-Ing. Joerg Schaffner
Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy’s National Nuclear.
Power Generation from Renewable Energy Sources
1 Part III: Airfoil Data Philippe Giguère Graduate Research Assistant Steady-State Aerodynamics Codes for HAWTs Selig, Tangler, and Giguère August 2, 1999.
DUWIND, Delft University Wind Energy Institute 1 An overview of NACA 6-digit airfoil series characteristics with reference to airfoils for large wind turbine.
Steady control of laminar separation over airfoils with plasma sheet actuators Sosa Roberto Artana Guillermo Laboratorio de Fluidodinámica, Universidad.
A H. Kyotoh, b R. Nakamura & a P. J. Baruah a a Institute of Engineering Mechanics and Systems, University of Tsukuba, Ibaraki, Japan b Third Plan Design.
The 2 nd Cross-Strait Symposium on Dynamical Systems and Vibration December 2012 Spectrum Characteristics of Fluctuating Wind Pressures on Hemispherical.
Introduction Aerodynamic Performance Analysis of A Non Planar C Wing using Experimental and Numerical Tools Mano Prakash R., Manoj Kumar B., Lakshmi Narayanan.
Bio-Inspired Trailing Edge Noise Control
Introduction of Laboratory
ASME Wind Energy Symposium Orlando, FL 5 January 2009
Prediction of wind load acting on telecommunication masts Márton BALCZÓ Ph.D. Student, István GORICSÁN Ph.D., Ass. Professor Tamás LAJOS Ph.D., Dr.Sc.
Recent and Future Research for Bird-like Flapping MAVs of NPU Prof. B.F.Song Aeronautics School of Northwestern Polytechnical University.
Heat Transfer from Ice Accretion Steven Mart Baylor University Scholar’s Day: Aeronautical & Processing Applications Rogers Engineering Building February.
MEASUREMENT OF THE AERODYNAMIC DRAG OF TEXTILES WITH A NOVEL DEVICE Schindelwig, K. 1, Hasler, M. 2, Nachbauer, W. 1, van Putten, J. 2, Knoflach, C. 2.
Study of Oscillating Blades from Stable to Stalled Conditions 1 CFD Lab, Department of Aerospace Engineering, University of Glasgow 2 Volvo Aero Corporation.
 Purpose  Test design  Measurement system and Procedures  Uncertainty Analysis.
Aerodynamics of Wind Turbines Part -3
2D Airfoil Aerodynamics
Aerodynamic Forces Lift and Drag.
Cavitation and Hydrodynamic Evaluation of a Uniquely Designed Hydrofoil for Application on Marine Hydrokinetic Turbines R. Phillips, W. Straka, A. Fontaine.
Human movement through air and water
Power Generation from Renewable Energy Sources Fall 2012 Instructor: Xiaodong Chu : Office Tel.:
The Linear and Non-linear Evolution Mechanism of Mesoscale Vortex Disturbances in Winter Over Western Japan Sea Yasumitsu MAEJIMA and Keita IGA (Ocean.
CFD Study of the Development of Vortices on a Ring Wing
Evan Gaertner University of Massachusetts, Amherst IGERT Seminar Series October 1st, 2015 Floating Offshore Wind Turbine Aerodynamics.
Wind Turbine Tower Fairing Geometries to Decrease Shadow Effects
CFD predictions of transition and distributed roughness over a wind turbine airfoil ESTEBAN FERRER XABIER MUNDUATE 47th AIAA Aerospace Sciences Meeting.
Physical Modeling of the Atmospheric Boundary Layer in the UNH Flow Physics Facility Stephanie Gilooly and Gregory Taylor-Power Advisors: Dr. Joseph Klewicki,
Mi9 Some experimental measurements of the Diffuser flow in a Ducted Wind Turbine assisted by two ejectors Kypros F. Milidonis Department of Mechanical.
Airfoils, Lift and Bernoulli’s Principle
GURNEY FLAP By: KASYAP T V S7 M
Review of Airfoil Aerodynamics
Detection and classification of snow/ice using infrared imaging
Aerodynamic and Heat Transfer Validation of LPT-OGVs (TURB34−LTH part) Chenglong Wang, Lei Wang, and Bengt Sundén Department of Energy.
WHAT CONTROLS BAR MIGRATION IN TIDAL CHANNELS?
AUTHORS: PhD. Hernán Darío Cerón Muñoz. David Diaz Izquierdo
Control of Boundary Layer Structure for Low Re Blades
Prediction of wind load acting on telecommunication masts
Actual Power Developed by A Rotor
Fluid Mechanics & Hydraulics
Drag Crisis: Flow Past a Circular Cylinder
The application of an atmospheric boundary layer to evaluate truck aerodynamics in CFD “A solution for a real-world engineering problem” Ir. Niek van.
Estimation of Profile Losses
Aerodynamic Analysis of Airplane Winglet to Maximize Design Efficiency Cooper Gould   Texas Christian University 2901 Stadium Drive TCU Box Fort.
Steady-State Aerodynamics Codes for HAWTs
Analysis & Control of Profile Losses
Aether Aerospace AAE 451 September 19, 2006
Presentation transcript:

College of Engineering Aerodynamic Effects of Painted Surface Roughness on Wind Turbine Blade Performance 06/09/2015 Liselle A. Joseph Aurelien Borgoltz Matthew Kuester William Devenport Julien Fenouil Special thanks to Wind Turbine Aerodynamics Team of GE Power and Water

Joseph et al. NAWEA Symposium 2015 Roughness is known to  decrease lift (Abbott and Von Doenhoff, 1959; Jones, 1936)  Increase drag (Abbott and Von Doenhoff, 1959; Jones, 1936)  Move transition forward (Timmer, 2004) Roughness on wind turbine blades (icing, soiling, coat deterioration etc.) reduces performance (Sagol, 2013; Ehrmann, 2014; Dalili et al., 2009) These are the main types of roughness currently under study No work into the effect of orange-peel type roughness  Likened to surface of an orange  More wavy than peaky  Produced from painting techniques and manufacturing processes Importance of Roughness Effects 2/14

Joseph et al. NAWEA Symposium 2015 Created by painting Contact © paper with latex paint using rollers of various types Number of coats and painting direction were also varied 3 configurations created and tested (a) (b)(c) Images of the Roughness Configurations (a) S1 (b) S2 and (c) S3. The scale of the roughness features is illustrated using the 12.5-mm grid superimposed on the S1 roughness 12.5mm Roughness Fetches 3/14

Joseph et al. NAWEA Symposium 2015 Approximate values of roughness parameters measured using Mahr PS1 In order of increasing roughness heights: baseline, S1, S2, S3 Baseline (Unpainted Contact © Paper) S1 S2S Roughness Fetches 4/14

Joseph et al. NAWEA Symposium 2015 Chord (m)Re (x10 6 )ConfigurationRe k baseline0.4 S14.4 S212.7 S baseline0.7 S17.9 S222.5 S baseline0.7 S baseline1.1 S248.2 Two DU96-W-180 models tested, each at 2 chord Reynolds Numbers Smooth and rough cases tested for each model Roughness Reynolds Number formulations: Below Re k1,crit effects are small, above Re k1,crit effects become more noticeable Test Matrix 5/14

Joseph et al. NAWEA Symposium 2015 Experiments done in VT stability Wind Tunnel Lift and drag obtained from pressure measurements from test section wall and drag rake Transition obtained from infrared transition detection system Model wrapped in contact paper, 0.8-mm insulator, then roughness fetch Experimental Set Up 0.8-mm silicone rubber insulator Starboard mounted IR camera Drag rake Port mounted IR camera Downstream View of 0.80-m DU96-W-180 Mounted in Wind Tunnel with Infrared Thermography System Aluminum model with internally mounted heaters 6/14

Joseph et al. NAWEA Symposium 2015 Positive stall: α c ~ 9°to10° Negative stall: α c ~-14° Zero-lift α c ~ -2° Baseline cases for two models of different chord lengths agree Results Variation of Lift and Drag for Different Chord Length Models, in Baseline Configuration, at Fixed Chord Reynolds Number of 2.0x10 6 7/14

Joseph et al. NAWEA Symposium 2015 Max lift and lift curve slope decrease with increasing Re k1 effect most apparent at positive α c, especially above α c =5° Above Re k1 ~ 23 effect of roughness becomes much larger than below this value Re k1crit ~ 23 Effect of Roughness on Lift 8/14

Joseph et al. NAWEA Symposium 2015 Drag in bucket increases with increasing Re k1 effect most dominant at positive α c Above Re k1 ~ 24 effect of roughness becomes much larger than below this value Re k1crit is between (accounting for 10% uncertainty) Effect of Roughness on Drag 9/14

Joseph et al. NAWEA Symposium 2015 Below Re k1 ~23 L/D max slowly declines Large decrease in L/D max after Re k1 ~23 Re k1crit ~ Effect of Roughness on Lift-to- Drag Ratio 10/14

Joseph et al. NAWEA Symposium 2015 Infrared transition detection system used to detect transition Gradient observed in images is onset of transition Image processing techniques used to extract %chord location Infrared Images of the Pressure Side of the 0.46-m DU96-W-180 at AoA=0° showing the Forward Movement of the Transition Front from the (a) Baseline case with R a =1.58 to (b) S3 Roughness case with R a =6.78 FLOW (a)(b) Effect of Roughness on Transition 11/14

Joseph et al. NAWEA Symposium 2015 Variation of transition location with angle of attack on the (a) Suction and (b) Pressure Side of the 0.8-m for all Re k1 Effect of Roughness on Transition Suction Side Pressure Side 0.8-m DU96-W /14

Joseph et al. NAWEA Symposium 2015 Variation of transition location with angle of attack on the (a) Suction and (b) Pressure Side of the 0.46-m for all Re k1 Effect of Roughness on Transition Suction Side Pressure Side 0.46-m DU96-W /14

Joseph et al. NAWEA Symposium 2015 Orange-peel type painted surface roughness on wind turbine blades have an effect on the performance It was found that: Roughness effects show dependence on Re c and Re k The effect of the roughness is more pronounced at positive angles of attack Lift decreases gradually with increasing Re k, up to the critical Re k Drag increases gradually with increasing Re k, up to the critical Re k Transition moves forward slightly with increasing Re k, up to the critical Re k Critical Re k for orange-peel roughness is between 20 and 25. Conclusions 14/14

Joseph et al. NAWEA Symposium 2015 Q&A

Joseph et al. NAWEA Symposium 2015 Supporting Slides

Joseph et al. NAWEA Symposium 2015 Effect of Roughness on T-S Waves Roughness induced disturbances grow and overtake natural T-S waves Roughness-induced T-S waves cause linear transition front upstream of natural transition Averaged wavelength spectra of the painted roughness surfaces Wavelengths of unstable Tollmien-Schlichting disturbances for (a) 0.46-m DU96-W-180 at Re=1.5x10 6 and (b) 0.80-m DU96-W-180 at Re=1.5x10 6 (a) (b)

Joseph et al. NAWEA Symposium 2015 Analysis of Effect on Performance XFOIL used to investigate whether changes in lift and drag are from changes in transition XFOIL ‘tripped’ at where transition is observed on IRT images for rough cases Differences compared to that observed between clean and rough results XFOIL analysis of the effect of transition location on lift and drag. XFOIL transition locations were set from IR transition measurements for the 0.46-m DU96-W-180 Model at Re = 1.5x10 6. Differences in (a) lift and (b) drag are between the clean model (covered in insulator) and the S3 roughness condition. (a) (b)