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Integrated Dynamic Analysis of Floating Offshore Wind Turbines

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Integrated Dynamic Analysis of Floating Offshore Wind Turbines B. Skaare1, T. D. Hanson1, F.G. Nielsen1, R. Yttervik1, A.M. Hansen2, K. Thomsen23, T. J. Larsen2 – PowerPoint PPT presentation

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Title: Integrated Dynamic Analysis of Floating Offshore Wind Turbines


1
Integrated Dynamic Analysis of Floating Offshore
Wind Turbines
  • B. Skaare1, T. D. Hanson1, F.G. Nielsen1, R.
    Yttervik1, A.M. Hansen2, K. Thomsen23, T. J.
    Larsen2
  • Norsk Hydro OE Research Centre
  • Risø National Laboratory
  • Presently Siemens Wind Power
  • Presented by Finn Gunnar Nielsen

EWEC2007 Milan, Italy 7-10 May 2007
2
Background Hywind Deep-water floating offshore
wind turbine
  • Challenge existing solutions by combining
    technologies
  • Offshore floater technology from OG industry.
  • Best available offshore wind turbines.

Case studied Turbine power 5
MW Draft hull 120 m Nacelle
height 81 m Rotor diameter
123 m Water depth 200700
m Displacement 8100 t Mooring
3 lines
3
Hywind technical development
  • Theory and computer codes.
  • Engineering studies.
  • Production and installation studies.
  • Model test for verification.
  • Next step
  • Full scale demo version.

4
Power curve
Simplified wind turbine model.
5
Thrust curve
Simplified wind turbine model.
Constant Power
Maximum Power
Negative slope gt Negative damping contribution
6
SIMO/RIFLEX/HAWC2 Integration
  • HAWC2 (RISØ)
  • Wind turbine loads and dynamics Interface
  • SIMO / RIFLEX (MARINTEK)
  • SIMO Rigid body dynamics in waves and current.
  • RIFLEX Slender flexible body dynamics in waves
    and current

7
SIMO/RIFLEX/HAWC2 Integration Testing
Comparison of motions in the coupling node in
simulations with SIMO/RIFLEX/HAWC2 (a) and
SIMO/RIFLEX (b). Waves Hs 5 m, Tp 12 s, 50
deg offset angle relative to the x-axis. No wind
8
HYWIND Model Scale Experiments
  • Motivation
  • Validate results from numerical analysis.
  • Demonstrate system behaviour
  • Included
  • Wind, waves
  • Mooring
  • Various control algorithms for rotor speed and
    blade pitch control
  • Scale 1/47

9
Recalculations of Model Scale Experiments
  • Used SIMO / RIFLEX / HAWC2
  • Implemented model test data for
  • Mean wind speed and turbulence intensity
  • Wave spectrum
  • Floater and mooring model
  • Aerodynamic model (NACA44XX blade profile)
  • Control strategies

10
Control Strategies
  • Estimated relative wind velocity was obtained
    from thrust force measurements.
  • Rotor speed and blade pitch angle of the turbine
    was controlled
  • Below rated wind speed
  • Control for maximum possible power (variable
    rotor speed, constant blade pitch angle)
  • Above rated wind speed
  • Conventional control
  • Control for constant power (Constant rotor speed,
    variable blade pitch angle)
  • Conventional control with active damping
  • Control for constant power and tower pitch
    damping. (Constant rotor speed, variable blade
    pitch angle)

11
Estimation of Relative Wind Speedquasistatic
assumption
The relative wind velocity is given from
where
where is the rotor thrust force
is the density of air D is the rotor diameter
is the rotor speed in RPM J is the advance
number given by the surface in the figure
(1)
(2)
12
Estimation of Relative Wind Speed
Example of estimated wind speed for simulation a
test Hs 9m, Tp 13s, Umean19.49m/s,
Tint0.1265.
13
Recalculations of Model Scale Experimentsfree
decay tests
Conventional Control Active Damping Constant
wind 17 m/s . No waves.
Conventional Control Constant wind 17 m/s. No
waves.
14
Recalculations of Model Scale Experimentsirregul
ar wave tests.
Conventional Control Active Damping Mean wind
17 m/s. Hs 5m. Tp 12s
Conventional Control Mean wind 17 m/s. Hs 5m. Tp
12s
15
Summary and conclusions
  • A system for integrated analysis of floating
    offshore wind turbines has been developed
  • The Floating offshore wind turbine HYWIND has
    been model tested with control of rotor speed and
    blade pitch angle.
  • The integrated computer program RIFLEX /SIMO
    /HAWC2 has been validated towards the model test
    results.
  • Very good correspondence between experimental and
    numerical results are obtained.
  • The negative damping of the platform pitch motion
    at above rated wind speeds is efficiently
    compensated by use of an active damping
    algorithm.
  • The integrated computer tool will be applied in
    further optimization of HYWIND

16
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