Advances In Wind Turbine Aerodynamics

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Advances in Wind TurbineAerodynamicsJaikumar LoganathanAshok GopinathGE Global Research - BangaloreImagination at work.

Outline Introduction Wind turbine design process Wind turbine aerodynamics Airfoil and blade design Wind park as a product What next? Conclusion2

IntroductionSource :GWECExponential growthSource :EWEASource :EWEAContinuous technologyimprovementSource :NRELWind cost of energy is poised to overtake fossil fuel3

Steps Wind farm developmentSource : AWEA Understand Your Wind Resource Determine Proximity to Existing Transmission Lines Secure Access to Land Establish Access To Capital Identify Reliable Power Purchaser or Market Address Siting and Project Feasibility Considerations Understand Wind Energy's Economics Obtain Zoning and Permitting Expertise Establish Dialogue With Turbine Manufacturers and ProjectDevelopers Secure Agreement to Meet O&M Needs4

Wind Turbine Design ConceptsSavonius VAWTDanish HAWTDarrieus VAWT5

ComponentsWindSensors‘Top box’:low voltage,control 1.5 wind turbine52 metric ton nacelle35 metric ton rotorHigh-speed couplingMechanical brakeGearboxGeneratorPitch drivePitch bearingBed FrameYaw drivesYaw bearingHubRotor main shaft Main bearing6

Number of rotorsOneTwoThreeGearboxEfficiencyLoads7

Wind turbine designSource: DTU8

Wind turbine designSource: DTU9

Wind turbine AerodynamicsAirfoilBladeWind turbineWind Farm10

Airfoil designSource: TUDelftBlade geometryDesign goalsOperation11

Airfoil designWind turbine airfoilAirfoil polar - RoughAirfoil polar - CleanPressure distributionSource: TUDelft12

Airfoil design key parameters3211Design point (Max lift to drag ratio)2Stall point (Max CL)3Extreme load point (Max CD)13

Design pointDU96-W-180, A0A 6Re 4MM Max L/D - highest efficiency Transition location is critical Boundary layer is attachedXFOIL Panel method - Mark Drela, MIT Inviscid - linear-vorticity stream function Viscous - Integral BL formulation Transition - e n 53.25X-Tran Suction X-Tran Pressure3870407114

Design pointDU96-W-180, A0A 6Re 4MM Max L/D - highest efficiency Transition location is critical Boundary layer is attachedCFD (K SST)XFOIL Panel method - Mark Drela, MIT Inviscid - linear-vorticity stream function Viscous - Integral BL formulation Transition - e n criteria RANS – 2 eq turbulence model K SST (zonal model, limiter on eddy viscosity) -Re transition CL/CD150.26153.25115.00X-Tran Suction X-Tran 0.02CD0.0315

Stall pointDU96-W-180, A0A 14Re 4MM Max CL - high loads Boundary layer is partially separatedComparison with XFOIL & CFD2.001.60CL1.20EXPT0.80SST0.40XFOIL0.000246810 12 14 16 18 20AOA16

Delayed stall prediction Best practice K- SST predicts a delayed flow separation and stall Limitation of RANS modelsSpectral Gap Overlap of turbulent lengthscales with energycontaining scalesAnisotropyStress – Strain lag Turbulent velocitycomponents assumed to beequal in magnitude Stress and strain are directlyproportional Wind tip vortex flow by JimchowReynoldsshear stressMean strainrates17

Next gen airfoils- 2 dBAdd-Ons Serrations (noise) Vortex generators (flow separation)Flow control Flexible trailing edge Circulation controlNew architecture Flexible airfoils Sail wingLift destructionLow cost 0.5% CpLift AugmentationLow loads18

Betz Limit Wind turbine extracts power by slowing down incoming wind Betz limit is the measure of optimal slow downNo slow downFull slow downBetz Limit - 59.3%Optimal slow down19

Annual Energy Yield (AEP)t(bin) [h]c p (bin) [ ]Power [kW ]Energy Yield (bin) [kWh]5000.50700,00025004500.45400600,0000.40 3503002502002000electricaerodynamic"power curve"0.350.3015000.250.201500.151000.10500.051000 12141618202224002468101214v(bin) [m s] tWeibull( bin) v3( bin)161820220240246810121418v(bin) [m s]2022Portion [%]2,5007Power [kW ]portion of AEP6Wind ) [m s]1 c p elec.(bin) R 2 AEPactual2AEP increase strategies: (higher) Wind distribution Rotor growth (increase swept area) (turbine) efficiency increase Biggest portion of AEP generated near kneeof the power curve: 33% for 2 m/s windspeeds before rated16510152025v(bin) [m s]20

Blade aero designConceptual design Inputs Detailed designPrototype test Design pointBlade radiusPowerAirfoil selection EfficiencyStallRoughnessOff - designBlade design ChordTwistThicknessGeo smoothingObjectives Maximize Cp Minimize noiseConstraints Max chord Thickness and twistrate21

Conceptual design - BladeActuator disk modelBlade element momentum theory Blade element momentum theoryapplied to a rotor disk Propellerturbines Each annular ring is independent Does not account for wake expansion Applicable only to straight blades Fails at high blade loading and off designconditions Requires separate tip and root lossmodelHelicopterwindA powerful design toolForces acting on a blade element3 D Blades22

Conceptual design - BladeVortex lifting line modelBlade representation Blade modeled as a set of lifting lines Vorticity shed from the trailing edgeis modeled as vortex filamentsWake representation Induced velocities on blade andwake is computed using Biot-savartlaw23

Detailed design - CFD A powerful tool to understanddetailed flow structure RANS - K SST 6 million cells for a single bladeanalysis Rotational effects Flow separation prediction ? Modelling transition – exorbitantlyexpensive Highly dissipative – smeared wake24

Detailed design – Hybrid CFD Elegant combination of near wallNavier-Stokes and helicoidalvortex method Preservers wake structuresSmall NavierStokes domainModeled wake shape(function of computedcirculation from NSdomain) Improved computational efficiency(1/8) Flow transition Unsteady, multi-blade analysisSource: UC Davis25

Improving Blade PerformanceAero Related Energy Losses for Wind Turbines Tip Loss: Entitlement 1.5% AEP Main Blade Loss: Entitlement 1.5% AEP Root Loss: Entitlement 3.5% AEP *) Operation Loss: Entitlement 2.0% AEPCFD wind velocity contoursdepicting high velocities inroot region due to ‘slippage’through the root ‘hole’Root enhancementTip enhancement26

Industry trendsCarbon Enhanced stiffness while managing weight 32% mass reduction, 15% reduction in tip deflection Costly (10X time glass fibers)Segmented blade Potential benefit in transportation & erection cost 9% increase in blade massActive devices Morphing trailing edge 2% rotor growth – loads neutral Controlled with compressed air or piezo electricsPassive – Material tailoring Bend- Twist coupling 53m vs 49m Blade – less 500kg/5% more AEP Exploring natural fibersTip rotationunder loadsUndeformed blade27

Wind farm as a product Wakes behind the rotor cause losses Coordinated control reduce these losses Around 1-2% of farm AEP is gained28

Wake structureSource : SNL29

Wake modelingobjectives Predict the wake strength and behavior(stability, shear, veer & turbulence intensity) Determine sensitivity of wake development to rotor loading Micro siting Quantify effect of ambient flow conditions and terrainBEM Free vortexRANS Actuator diskLES Actuator line30

Summary Wind turbine aerodynamics - maximize power output Airfoils – high L/D – Stall prediction Blade – Maximize Cp – computational efficiency Wake – understand, minimize & optimize Big data31

Thank you32

Advances in Wind Turbine Aerodynamics . Blank 2 Outline Introduction Wind turbine design process Wind turbine aerodynamics Airfoil and blade design . Propeller Helicopter wind turbines Each annular ring is independent Does not account for wake expansion Applicable only to straight blades .

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