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.

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

Project sheet

Pitch vidéo

Webinar

Rapports publics

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.

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).

Accreditation

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

CARAVELE

Context

Objective

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

Conclusion

Partners

Funding

Accreditation

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CARAVELE

Context

Objective

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

Conclusion

Partners

Funding

Accreditation

Pour aller plus loin

Ajoutez votre titre ici

Ajoutez votre titre ici

Ajoutez votre titre ici

Would you like to know more ?

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