Firma convenzione
Politecnico di Milano e Veneranda Fabbrica
del Duomo di Milano
Aula Magna – Rettorato
Mercoledì 27 maggio 2015
Wind tunnel validation of AeroDyn within
LIFES50+ project: imposed Surge and Pitch tests
I. Bayati, M. Belloli, L. Bernini, A. Zasso
Politecnico di Milano, Department of Mechanical Engineering
The Science of Making Torque from Wind
München, October 5-7, 2016
Ilmas Bayati, PhD.
Dynamics of Floating Offshore Wind Turbines: Experimental Investigation
 Length and velocity scale limited by facility
 Too low wind speed = high noise/signal
 Rotor speed  Control bandwidth
Impossibile to keep similarity for each adimensional parameter!
e.g Froude/Reynolds conflict
𝑀 𝑥 + C 𝑥 + 𝐾 𝑥 = 𝐹𝐴𝑒𝑟𝑜 𝜌 𝐴𝑖𝑟, 𝜇 𝐴𝑖𝑟, 𝐶 𝑇 , 𝐶 𝑃, 𝑈 𝑤𝑖𝑛𝑑, Ω
+ 𝐹 𝐻𝑦𝑑𝑟𝑜 𝜌 𝑤𝑎𝑡𝑒𝑟, 𝜇 𝑤𝑎𝑡𝑒𝑟, 𝑔 , 𝐻, 𝑑, 𝑇, 𝐶 𝐷, 𝑉𝑝𝑙𝑎𝑡𝑓𝑜𝑟𝑚
Aero HydroStructure = +
Hybrid Testing
(Hardware-In-the-Loop)
Relaxing constraints
Exploiting separately
Ocean Basin / Wind Tunnel
advantages
Symbol Dimensionless Number Force Ratio
Re Reynolds Inertia/Viscous
Fn Froude Inertia/Gravity
Mn Mach's Inertia/Elasticity
Wn Weber's Inertia/Surface tension
St Strouhall -
KC Keulegan-Carpenter Drag/Inertia
TSR Tip Speed Ratio Angle of attack
Physics
Scaling issues
To overcome
scaling issues
Ilmas Bayati, PhD.
LIFES50+: Hardware-In-the-Loop (HIL) approach
Ocean Basin/HIL
• Real time computation of Aero forces
• Force control (rotor)
• Advanced testing: waves/moorings
Wind Tunnel/HIL
• Real time computation of Hydro forces
• Motion control (tower’s base)
• Advanced testing wind/turbulence/IPC
MARINTEK POLIMI
Hydro validation
Aero validation
Ilmas Bayati, PhD.
• DTU 10MW performance
• Thrust/Stiffness/Mass
Blade
• Matching reference Ct
• Matching scaled 1° flapwise frequency
• Blade weight
Nacelle (IPC)
• Overall mass
• Available space and IPC control bandwidth
Wind tunnel scaled model design: practical scaling issues
DESIGN GOAL
• Strong Reynolds discrepancy
• Defined velocity and length scale factor
(and TSR, V*)
• Low Re airfoils + Chord, Twist and t/c
• Aero-elastic optimization
• Commercial Vs Custom components
(70% Vs 30%)
• Miniaturized mechatronics
Ilmas Bayati, PhD.
PoliMi DTU10 MW scale model: Aeroelastic design
Low Reynolds Airfoil Characterization
Selig SD7032 Airfoil
- Lift coefficients from pressure taps
- Drag coefficients from wake
Ilmas Bayati, PhD.
PoliMi DTU10 MW scale model: Aeroelastic design
Aerodynamic optimization (Thrust)
Ilmas Bayati, PhD.
PoliMi DTU10 MW scale model: Mechatronics
Ilmas Bayati, PhD.
Wind Tunnel Tests: steady results
Very good matching below rated
(Torque & Thrust)
Optimized pitch above rated
- Thrust easily matched
- Torque needing higher pitch
Ilmas Bayati, PhD.
Wind Tunnel Tests: Imposed Surge and Pitch results
Experiments
• Wind:
Below rated /Rated / Above Rated
• Wave:
Low Frequency motion
Wave frequency motion
Simulations
• Fast 8/AeroDyn 13
Generalized Dynamic Wake (GDW)
• No Dynamic Stall
Ilmas Bayati, PhD.
Surge Amp: XS
Surge Freq: ωS
Conventions and useful parameters for post-processing
SURGE
Ω, 𝐷 Surge displ. & velocity
Surge freq. & period
Apparent wind speed
Dynamic wind speed
𝑓𝑆 = 1 𝑇𝑆
𝑥, 𝑥
𝑈𝐴 = 𝑈 + 𝑥
𝑈 𝐷𝑦𝑛 = 𝑥 = 𝑋𝑆 𝜔 𝑆
𝑉𝑤
∗ =
𝑈
𝑓𝑆 𝐷
Reduced Velocity (Wake)
N° of rotor diameters
“travelled by the wind” in
1 period of Surge Motion
Ilmas Bayati, PhD.
Wind Tunnel Tests: Imposed Surge and Pitch results
Aerodynamic force vs dynamic wind speed
• 𝐴 𝑃 in-phase component
• 𝐴 𝑄 quadrature component
𝐴 𝑃 varying amplitude
𝐴 𝑄 =0
From 𝐴 𝑃 only to 𝐴 𝑄 only
= 𝐹𝑆𝑡𝑒𝑎𝑑𝑦 + 𝑅𝑒[ 𝐴 𝑃 + 𝑖𝐴 𝑄 𝑒 𝑗ωS 𝑡]
𝐹𝐴𝑒𝑟𝑜 = 𝐹𝑆𝑡𝑒𝑎𝑑𝑦 + 𝐹 𝑈𝑛𝑠𝑡𝑒𝑎𝑑𝑦
A simple example
Ilmas Bayati, PhD.
Wind Tunnel Tests: Imposed Surge results
BELOW RATED
Low Freq. Wave Freq.
𝑉𝑤
∗
= 4
𝑉𝑤
∗
=
𝑈
𝑓𝑆 𝐷
𝑉𝑤
∗
=0.46
Ilmas Bayati, PhD.
Wind Tunnel Tests: Imposed Surge results
RATED
Low Freq. Wave Freq.
𝑉𝑤
∗
= 6
𝑉𝑤
∗
=
𝑈
𝑓𝑆 𝐷
𝑉𝑤
∗
=0.7
Ilmas Bayati, PhD.
Wind Tunnel Tests: Imposed Surge results
ABOVE RATED
Low Freq. Wave Freq.
𝑉𝑤
∗
=
𝑈
𝑓𝑆 𝐷
𝑉𝑤
∗
=9 𝑉𝑤
∗
= 1
Ilmas Bayati, PhD.
Wind Tunnel Tests: Imposed Surge and Pitch results
BELOW RATED
Wind Tunnel AeroDyn
𝑉𝑤
∗
=
𝑈
𝑓𝑆 𝐷
Decreasing 𝑽 𝒘
∗
Experimental Numerical
Ilmas Bayati, PhD.
Conclusions and ongoing developments
Conclusions
• Hysteretic phenomen observed is always dissipative
• AeroDyn 𝐴 𝑃 always lower than measurements
• Areas limited by these cycles are fairly comparable
• Two different behaviours are visible for below rated/rated tests and for above rated:
• Below rated: hysteretic cycles are visible both for low and wave frequencies
• Above rated: hysteretic cycles are visible only for wave frequencies.
• AeroDyn predicts these different behaviours
Ongoing
• Investigating the effect of dynamic stall in AeroDyn
• Postprocessing the large amount of data collected investigating any trends 𝐴 𝑄 and 𝐴 𝑃
• Postprocessing wind tunnel measurements of the wake for surge imposed motion
• Investigating equivalent state-space formulations for control purposes on FOWT
Ilmas Bayati, PhD.

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Wind Tunnel Validation of AeroDyn within LIFES50+ project: imposed surge and pitch tests

  • 1. Firma convenzione Politecnico di Milano e Veneranda Fabbrica del Duomo di Milano Aula Magna – Rettorato Mercoledì 27 maggio 2015 Wind tunnel validation of AeroDyn within LIFES50+ project: imposed Surge and Pitch tests I. Bayati, M. Belloli, L. Bernini, A. Zasso Politecnico di Milano, Department of Mechanical Engineering The Science of Making Torque from Wind München, October 5-7, 2016
  • 2. Ilmas Bayati, PhD. Dynamics of Floating Offshore Wind Turbines: Experimental Investigation  Length and velocity scale limited by facility  Too low wind speed = high noise/signal  Rotor speed  Control bandwidth Impossibile to keep similarity for each adimensional parameter! e.g Froude/Reynolds conflict 𝑀 𝑥 + C 𝑥 + 𝐾 𝑥 = 𝐹𝐴𝑒𝑟𝑜 𝜌 𝐴𝑖𝑟, 𝜇 𝐴𝑖𝑟, 𝐶 𝑇 , 𝐶 𝑃, 𝑈 𝑤𝑖𝑛𝑑, Ω + 𝐹 𝐻𝑦𝑑𝑟𝑜 𝜌 𝑤𝑎𝑡𝑒𝑟, 𝜇 𝑤𝑎𝑡𝑒𝑟, 𝑔 , 𝐻, 𝑑, 𝑇, 𝐶 𝐷, 𝑉𝑝𝑙𝑎𝑡𝑓𝑜𝑟𝑚 Aero HydroStructure = + Hybrid Testing (Hardware-In-the-Loop) Relaxing constraints Exploiting separately Ocean Basin / Wind Tunnel advantages Symbol Dimensionless Number Force Ratio Re Reynolds Inertia/Viscous Fn Froude Inertia/Gravity Mn Mach's Inertia/Elasticity Wn Weber's Inertia/Surface tension St Strouhall - KC Keulegan-Carpenter Drag/Inertia TSR Tip Speed Ratio Angle of attack Physics Scaling issues To overcome scaling issues
  • 3. Ilmas Bayati, PhD. LIFES50+: Hardware-In-the-Loop (HIL) approach Ocean Basin/HIL • Real time computation of Aero forces • Force control (rotor) • Advanced testing: waves/moorings Wind Tunnel/HIL • Real time computation of Hydro forces • Motion control (tower’s base) • Advanced testing wind/turbulence/IPC MARINTEK POLIMI Hydro validation Aero validation
  • 4. Ilmas Bayati, PhD. • DTU 10MW performance • Thrust/Stiffness/Mass Blade • Matching reference Ct • Matching scaled 1° flapwise frequency • Blade weight Nacelle (IPC) • Overall mass • Available space and IPC control bandwidth Wind tunnel scaled model design: practical scaling issues DESIGN GOAL • Strong Reynolds discrepancy • Defined velocity and length scale factor (and TSR, V*) • Low Re airfoils + Chord, Twist and t/c • Aero-elastic optimization • Commercial Vs Custom components (70% Vs 30%) • Miniaturized mechatronics
  • 5. Ilmas Bayati, PhD. PoliMi DTU10 MW scale model: Aeroelastic design Low Reynolds Airfoil Characterization Selig SD7032 Airfoil - Lift coefficients from pressure taps - Drag coefficients from wake
  • 6. Ilmas Bayati, PhD. PoliMi DTU10 MW scale model: Aeroelastic design Aerodynamic optimization (Thrust)
  • 7. Ilmas Bayati, PhD. PoliMi DTU10 MW scale model: Mechatronics
  • 8. Ilmas Bayati, PhD. Wind Tunnel Tests: steady results Very good matching below rated (Torque & Thrust) Optimized pitch above rated - Thrust easily matched - Torque needing higher pitch
  • 9. Ilmas Bayati, PhD. Wind Tunnel Tests: Imposed Surge and Pitch results Experiments • Wind: Below rated /Rated / Above Rated • Wave: Low Frequency motion Wave frequency motion Simulations • Fast 8/AeroDyn 13 Generalized Dynamic Wake (GDW) • No Dynamic Stall
  • 10. Ilmas Bayati, PhD. Surge Amp: XS Surge Freq: ωS Conventions and useful parameters for post-processing SURGE Ω, 𝐷 Surge displ. & velocity Surge freq. & period Apparent wind speed Dynamic wind speed 𝑓𝑆 = 1 𝑇𝑆 𝑥, 𝑥 𝑈𝐴 = 𝑈 + 𝑥 𝑈 𝐷𝑦𝑛 = 𝑥 = 𝑋𝑆 𝜔 𝑆 𝑉𝑤 ∗ = 𝑈 𝑓𝑆 𝐷 Reduced Velocity (Wake) N° of rotor diameters “travelled by the wind” in 1 period of Surge Motion
  • 11. Ilmas Bayati, PhD. Wind Tunnel Tests: Imposed Surge and Pitch results Aerodynamic force vs dynamic wind speed • 𝐴 𝑃 in-phase component • 𝐴 𝑄 quadrature component 𝐴 𝑃 varying amplitude 𝐴 𝑄 =0 From 𝐴 𝑃 only to 𝐴 𝑄 only = 𝐹𝑆𝑡𝑒𝑎𝑑𝑦 + 𝑅𝑒[ 𝐴 𝑃 + 𝑖𝐴 𝑄 𝑒 𝑗ωS 𝑡] 𝐹𝐴𝑒𝑟𝑜 = 𝐹𝑆𝑡𝑒𝑎𝑑𝑦 + 𝐹 𝑈𝑛𝑠𝑡𝑒𝑎𝑑𝑦 A simple example
  • 12. Ilmas Bayati, PhD. Wind Tunnel Tests: Imposed Surge results BELOW RATED Low Freq. Wave Freq. 𝑉𝑤 ∗ = 4 𝑉𝑤 ∗ = 𝑈 𝑓𝑆 𝐷 𝑉𝑤 ∗ =0.46
  • 13. Ilmas Bayati, PhD. Wind Tunnel Tests: Imposed Surge results RATED Low Freq. Wave Freq. 𝑉𝑤 ∗ = 6 𝑉𝑤 ∗ = 𝑈 𝑓𝑆 𝐷 𝑉𝑤 ∗ =0.7
  • 14. Ilmas Bayati, PhD. Wind Tunnel Tests: Imposed Surge results ABOVE RATED Low Freq. Wave Freq. 𝑉𝑤 ∗ = 𝑈 𝑓𝑆 𝐷 𝑉𝑤 ∗ =9 𝑉𝑤 ∗ = 1
  • 15. Ilmas Bayati, PhD. Wind Tunnel Tests: Imposed Surge and Pitch results BELOW RATED Wind Tunnel AeroDyn 𝑉𝑤 ∗ = 𝑈 𝑓𝑆 𝐷 Decreasing 𝑽 𝒘 ∗ Experimental Numerical
  • 16. Ilmas Bayati, PhD. Conclusions and ongoing developments Conclusions • Hysteretic phenomen observed is always dissipative • AeroDyn 𝐴 𝑃 always lower than measurements • Areas limited by these cycles are fairly comparable • Two different behaviours are visible for below rated/rated tests and for above rated: • Below rated: hysteretic cycles are visible both for low and wave frequencies • Above rated: hysteretic cycles are visible only for wave frequencies. • AeroDyn predicts these different behaviours Ongoing • Investigating the effect of dynamic stall in AeroDyn • Postprocessing the large amount of data collected investigating any trends 𝐴 𝑄 and 𝐴 𝑃 • Postprocessing wind tunnel measurements of the wake for surge imposed motion • Investigating equivalent state-space formulations for control purposes on FOWT

Editor's Notes

  • #2: I am …Post doc A first set of wind tunnel test results carried out which have the final aim of validating Fast/AeroDyn within the European LIFE50+ project framework
  • #3: The physics of FOWTs is complex and when it comes to designing scale model tests as these, we come accross in some constraints related to the fact the the similutude of each adimensional parameter governing the dynamics cannot be ensured at the same time…therefore a few choices must be done for example Taking int account Which also helps to exploit
  • #4: With this idea Lifes50+ project is developing advanced experimental techiniques with the combined employment of wind tunnel and ocean basin. As siad the testing approach is what is called hybrid appraoch or hardware in the loop, so that in the ocean basin… Whereas in the wind tunnel… The results communicate one each other in the sense that numerical model running in real time are validated complementarily
  • #5: The wind turbine model for the tests was built with reference to the DTU 10MW prototype, with the goal of reproducing the same performance beyond the high discrepancy (about 150 times) in the Reynolds number As well as reproducing the scaled overall mass and natural frequency so that it was defined velocity and length scale as well as the tsr similutude, For this project, the goal for the blade was to have same thrust coefficients, this was possible thanks to the adoption of low reynolds profiles and chord, twist and t/c modification with respect to the full scale blade this was combined also with a structural optimization to match the 1° and overall mass. The nacelle was design to allow individual pitch control the the rotor, although very havy constrains were found in terms of overall mass with respect to the target, this was mainly due to the impossibility to get rid of the weight of commercial cmponents such as motors and slip rings who defined the majority of the mass. Also the limited space and the requiriments in terms of control bandwith forced to chase non trivial solutions. For both blade and nacelle design you are referred to a couple of posters
  • #6: I briefly report here the blade sectional wind tunnel measurements on the chosen low reynolds airfoil to extract the aerodynamic coefficients, from pressure and wake measurements, afer having built a sectional model with the same manufacturing approach as the real one.
  • #7: The final carbon fiber blade, which for the tests presented is a rigid version of the aerolastic one, is here reported along its peculiarty in terms of chord and twist with respect to the geometrical scale of the DTU reference
  • #8: Accordingly, just an overview of the complexity and the miniaturized solution for the mechatronic design.
  • #9: Steady wind tunnel tests demostrated an excellent maching of the thrust, which was the target, in the whole range of wind speed and a good matching also for the torque with a need of changing a bit the angle of attack above rated with respect to the nominal pitch angle. However the goal of the project was, in a floating offshore scenario, the thrust
  • #10: On top of this a set of surge and pitch amplitude and frequency in the low and wave ranges were chosen for investigating the effect of single harmonic motion on the aerodynamics, and the same cases were simulated in Fast/Aerodyn with these simulation parameters. So by the first run no dynamic stall was implemented.
  • #11: Only surge results are reported for the sake of simplicity and without loss of generality. Therefore, we can define an apparent wind speed wich is composed of the steady wind speed and the a dynamic component due to the motion of the platform. Moreover, with the willing of defining an adimensional parameter to capture the unsteady nature of the aerodynamic thrust, the proposal is to look at the reduced velocity which depends on wind speed and surge frequency and wind turbine’s diameter, so it has also the meaning of how many rotors diameters are travelled by the wind in on surge period. In other words it gives an idea if the thrust enters its own wake going back and forth. Higher quasi static Lower more unsteadiness might be occur
  • #12: Imposing single harmonic motion, the aerodynamic force, say the thrust, can be splitted in the steady contribution and a single harmonic contribution which can be splitted in turn in In phase component and quadrature compnent. In this video you can see a simple example with different rapresentations of the same phenomenon, in time, as function of dynamic speed and in the gauss diagramm, for example on the left, we have…., which turns out to a change in the slope when plotted againts dynamic wind speed Whereas on the right, if the we go from pure in phase to pure quadrature component the effect is an enlargment of the ellypsis potentially up to a circle.
  • #14: Very similar behaviour, although
  • #16: Grouping separaterly experimental from numerical Decreasing the reduced frequency, with different Ap and Aq ratio, but both experiments and aerodyn predict the enlargement of ellipsis and then incresing in quadrature components
  • #17: To be conclude