DRACCAR-NEMO

New methods for turbulence measurements and models in offshore wind

Context

A key phase in the development of a wind energy project is a comprehensive assessment of the inflow wind conditions. This is essential to determine the financial feasibility of a project.

Whilst the characteristics of the mean flow (like speed, direction) are relatively simple to assess by modelling or measurement tools, a lack of confidence in the characterization of wind fluctuations, i.e., turbulence, over a range of scales, has subsequently resulted in high levels of conservativeness being employed by wind turbine designers.

Objective

To provide methodologies and tools for a comprehensive assessment of turbulence at prospective offshore wind sites

Scientific work planned

Review and redefinition of turbulence metrics for the offshore wind applications

Measurements of atmospheric turbulence

• Improvement of reconstruction procedures of turbulence metrics derived from lidar profiler
• Derivation of turbulence from scanning lidars in dual-Doppler configuration
• Investigation and implementation of universal multifractals for higher-order turbulence statistics
• Joint measurement campaign at Normandy test site to support method development

Modeling of turbulent flows

• Calibration of turbulence length-scales (100m – 1,000 m) using large eddy simulations and incorporate them into mesoscale model
• Adaptation of numerical model settings to derive recommendations for turbulence data simulation
• Assessment of different lidar configurations’ ability to reconstruct turbulence information through virtual lidars in large eddy simulationwind fields

Reconstruction of offshore wind metrics using data-driven methods

• Use of statistical and machine learning models to estimate offshore wind metrics from onshore measurements and numerical models outputs
• Comparison of data-driven models and large eddy simulations for offshore turbulence forecasting

Expected results

Collection of a new turbulence dataset
Methodology for the reconstruction of turbulence from wind lidars (ground-based, floating and scanning)
Industry applicable turbulence from meso-scale modelling
Site-specific transfer functions, combining observations and model output, to derive offshore information from onshore information

Project sheet

Pitch vidéo

Webinaire

Rapports publics

Conclusion

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Partners

This project is led by France Energies Marines.

Funding

This project receives French State funding managed by the National Research Agency under the France 2030 investment plan (ANR-10-IEED-0006-34). It also receives financial support from Normandy region and European Union, Ifremer, Pôle Mer Méditerranée, and Occitanie and SUD Provence-Alpes-Côte d’Azur regions.