Research & Development

Project

CARAVELE

Wind characterisation for offshore renewable energies applications

Context

The characterisation of the wind still suffers from uncertainties in the spatial description associated with small-scale turbulent structures, e.g. orographic effects. Furthermore, the vertical wind speed profile is based on semi-empirical relationships derived from ground-based observations. Thus, improved wind characterisation is crucial to reduce uncertainties in resource assessment and wind turbine design.

Projet CARAVELE

Objective

  • To improve the characterisation of extreme winds by combining atmospheric models with satellite and in-situ observations

Main achievements

Extrapolation of surface winds from satellite data at the height of wind turbine nacelles

Capturing the spatial variability of wind fields from high-resolution synthetic aperture radar (SAR) observations and coupling to wind forecast models

Wave tank tests equipped with wind tunnels to study air-sea interactions during extreme events

Improving the accuracy of atmospheric models by combining them with SAR observations, using machine learning methods

Main outputs

  •  Methodology for optimising the deploymentof  sensors to determine farm siting areas
  • Algorithm for extracting high-resolution wind features from SAR images
  • Methods for extrapolating surface wind speeds from satellite data to the height of the wind turbine nacelle
  • Short-term wind forecasting model using the method of analogues
  • Database of extreme conditions in wavetanks equipped with wind tunnels

Conclusion

CARAVELE has developed new tools and improved existing models that can be used to: determine wind farm siting areas, estimate the wind resource, produce high resolution forecasts for offshore operations, and characterise extreme winds for wind turbine design.

Partners

This project was led by Ifremer and France Energies Marines.

Logo France Energies Marines
Logo Ifremer
Logo CICESE
Logo CLS
Logo EDF
Logo Ecole Nationale des Ponts et Chaussées
Logo Institut Pierre-Simon Laplace
Logo CNRS
Logo Naval Energies
Logo OceanDataLab
Logo RSMAS

Funding

This project received French State funding managed by the National Research Agency under the Investments for the Future Programme (ANR-10-IEED-0006-26).

Logo Investir l'Avenir

Accreditation

This project was certified by the maritime cluster Pôle Mer Bretagne Atlantique.

Logo Pôle Mer Bretagne Atlantique

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