+ All Categories
Home > Documents > Floating Offshore Wind: A Simplified Approach of Aero ...

Floating Offshore Wind: A Simplified Approach of Aero ...

Date post: 17-Jan-2022
Category:
Upload: others
View: 2 times
Download: 0 times
Share this document with a friend
15
NOVOTEL LONDON WEST • LONDON, UNITED KINGDOM • 24 APRIL 2019 Floating Offshore Wind: A Simplified Approach of Aero-Hydrodynamic Coupling to Optimize the Mooring System Design. Marie Féron, Olivier Langeard, Caroline Le Floc’h DORIS Engineering
Transcript

NOVOTEL LONDON WEST • LONDON, UNITED KINGDOM • 2‐4 APRIL 2019

Floating Offshore Wind: A Simplified Approach of Aero-Hydrodynamic Coupling to Optimize the Mooring System Design.

Marie Féron, Olivier Langeard, Caroline Le Floc’hDORIS Engineering

© M C E D e e p w a t e r D e v e l o p m e n t a n d G u l f Q u e s t L L C2

Floating Offshore Wind Turbine Design

• Future commercial farms: Significant need to optimize design.

• Floating Turbine: Highly complex system with coupling effects.

• Trade-off between computing time, calculation accuracy and software expenses.

• Simplified methodology: a very efficient solution.

© M C E D e e p w a t e r D e v e l o p m e n t a n d G u l f Q u e s t L L C

NereWind – DORIS Solution

• The results of an innovative optimization process and practical methodologies:

A semi-submersible platform with a reduced draft.

A main steel column to support the turbine and two smaller columns to ensure optimized stability.

• Design and numerical calculations validated by a basin test campaign in 2017.

• Upscaling studies are ongoing for a 10 MW turbine.

• Patent pending.

3

© M C E D e e p w a t e r D e v e l o p m e n t a n d G u l f Q u e s t L L C

Aero-Hydro Coupling Analysis

• To verify a floating turbine platform design:

Need to assess global dynamic performanceof the floater.

Need to check turbine max allowable criteria (max pitch, max accelerations).

• Floating aspect induces an aero-hydro coupling:

Waves, wind and controller action : coupling effects with high impact on motions.

Specific software (FAST-OrcaFlex, Bladed…).

4

Spectral Analysis of the platform pitch for three load cases(Hs = 6m, Tp = 10s and u = 11.4 m/s)

© M C E D e e p w a t e r D e v e l o p m e n t a n d G u l f Q u e s t L L C

Aero-Hydro Simplified Approach - Theory

• Simplified Turbine : a Thrust and an Aerodynamic Damping.

Thrust integrated (T) on the rotor disk (Karimirad, 2012) and interpolated with the turbine thrust curve regarding the relative wind speed.

o Aerodynamic damping (M) is calibrated based on a fully-coupled model.

• Controller effect: Negative damping is avoided with a filter on the relative wind speed.

5

© M C E D e e p w a t e r D e v e l o p m e n t a n d G u l f Q u e s t L L C

Aero-Hydro Simplified Approach - Application

• Hydrodynamics with OrcaFlex:

Hybrid Model (Potential and Morison theories) calibrated with tank tests.

Allows an accurate mooring modelling.

• Aerodynamics with Python: an external function for Thrust and Damping calculation at each time step.

6

Wind Speeduhub(t)

Python FunctionuFiltre(t), Thub(t), MDamping(t)

OrcaFlex Calculation

© M C E D e e p w a t e r D e v e l o p m e n t a n d G u l f Q u e s t L L C

Simplified Approach - Equivalent Wind Model• Wind modelling capabilities:

FAST-OrcaFlex Model: 2D wind speed field.

Simplified Model: only a wind speed time series at turbine hub.

• Equivalent Wind based on Smilden (2016):

Sampling of the wind speed on the turbine blades.

Input treatment: no additional computing time.

7

© M C E D e e p w a t e r D e v e l o p m e n t a n d G u l f Q u e s t L L C

Simplified Approach - Validation Process

• Comparison with a fully coupled FAST-OrcaFlex model.

• Three different sets of load cases (LC):

A Limited Batch with 8 LC issued from Karimirad(2012)

A Large Batch with 50 LC (5 wind speeds * 10 seeds)

A Fatigue Analysis Batch with 4410 LC.

• Validation based on statistical study for main parameters (Surge, Pitch, Mooring line Tension…).

8

Wind Speeds and Wind Directions of the Fatigue Batch

m/s

© M C E D e e p w a t e r D e v e l o p m e n t a n d G u l f Q u e s t L L C

Results 1 – Limited LC - Displacements

9

• Good fit between Simplified Models and Fully-coupled Model.

• Use of Equivalent Wind improves the displacement mean values.

• Under-estimation at the rated wind speed (11 m/s): limit of the static thrust interpolation.

• Variability in results depending on the chosen seed.

© M C E D e e p w a t e r D e v e l o p m e n t a n d G u l f Q u e s t L L C

Results 2 – Large Batch LC – Mooring Tensions

10

• Rainflow algorithm: fatigue assessment for the mooring system.

• Good fit between Simplified Model and Fully-coupled model.

Cycle Amplitude

Num

ber o

f Cycle

© M C E D e e p w a t e r D e v e l o p m e n t a n d G u l f Q u e s t L L C

• Calculation Time for a turbulent wind simulation of 4600s (1h + 1000 s transient).

• Comparison for 1 LC calculation:

Results – Limited LC – Calculation Time

11

Model Turbulent Wind

FAST-OrcaFlex Fully Coupled Model 40 minutes

Simplified Model 11 minutes

Faster calculation

Cost-effective solutionMore optimisation loops

© M C E D e e p w a t e r D e v e l o p m e n t a n d G u l f Q u e s t L L C

Ongoing Improvements

12

Integration of the turbine response time induced by the control system and the mechanical damping in the Thrust definition.

Improvement of the aerodynamic damping definition.

Thrust Calculation with Turbine Inertia – Comparison with FAST(kN)

(s)

Pitch Platform Decay Test with Turbine Operating for Wind Speed between 3 m/s and 25 m/s

Thrust Curve Depending on the Wind Speed and on the Blade Pitch

U (m/s)

Blade Pitch (°)

Thrust (kN)

© M C E D e e p w a t e r D e v e l o p m e n t a n d G u l f Q u e s t L L C

First Results – Phase II

13

To understand the turbine behaviour to improve the simplified model.

(s)

Thrust Calculation with Turbine Inertia – Comparison with FAST

(kN)

© M C E D e e p w a t e r D e v e l o p m e n t a n d G u l f Q u e s t L L C

Conclusion

• Floating Wind Turbine needs to be optimized to reduce global costs of commercial farms.

• A Trade-off between computation time and calculation accuracy is necessary.

• DORIS Engineering has developed smart simplified models to optimize each part of the system.

Aero-Hydro analysis simplification allows for instance new possibilities for mooring system optimization.

14

© M C E D e e p w a t e r D e v e l o p m e n t a n d G u l f Q u e s t L L C

Scientific References

15

DORIS Engineering

[1] Karimirad, M., & Moan, T. (2012). A simplified method for coupled analysis of floating offshore wind turbines. Marine Structures, 27(1), 45-63.

[2] Jonkman, J., Butterfield, S., Musial, W., & Scott, G. (2009). Definition of a 5-MW reference wind turbine for offshore system development. National Renewable Energy Laboratory, Golden, CO, Technical Report No. NREL/TP-500-38060.

[3] Robertson, A., Jonkman, J., Masciola, M., Song, H., Goupee, A., Coulling, A., & Luan, C. (2014). Definition of the semisubmersible floating system for phase II of OC4 (No. NREL/TP- 5000-60601). National Renewable Energy Lab. (NREL), Golden, CO (United States).

[4] Courbois, Adrien. Étude expérimentale du comportement dynamique d'une éolienne offshore flottante soumise à l'action conjuguée de la houle et du vent. 2013. Doctoral Thesis. Ecole Centrale de Nantes (ECN).

[5] Smilden, E., Sørensen, A., & Eliassen, L. (2016). Wind model for simulation of thrust variations on a wind turbine. Energy Procedia, 94, 306-318.

Marie FÉRONProject Engineer

T +33 (0)1 44 06 10 67E [email protected]

Caroline LE FLOC’H Head of Renewables

T +33 (0)1 44 06 14 33M +33 (0)6 18 55 86 84E [email protected]


Recommended