Research & Development

Projet

DIONYSOS

Réseau numérique intelligent opérationnel à l’aide d’une approche hybride combinant capteurs et simulations

Context

At both national and international level, offshore wind is now recognised as one of the pillars of the energy transition. Floating wind technology will gradually take on a significant market share in this sector. In order to control the economic equation linked to maintenance costs, it is crucial to have effective tools for optimising maintenance and improving the management of system lifetimes. One of the major challenges therefore lies in the ability to assess the actual state of fatigue of structures, and to identify any potential anomalies.

Objective

To develop and test an in-service fatigue monitoring system for floating wind turbines combining sensors and numerical simulations

Main achievements

Development of a digital model of a floating wind turbine

Specification and deployment of sensors on a machine at sea and in operation

Development of a software platform for coupling and analysing the data collected at sea with that from the numerical simulations

Testing of the digital twin on two floating offshore wind turbines: Zefyros (off Norway) and DemoSATH (off Spain)

Development of two methods for better detection and categorisation of anomalies in the behaviour of floating offshore wind turbines

Resources generated

Software platform for data retrieval and filtering, forcing with environmental data, and data storage
Simuoptuna: tool for optimising the intrinsic parameters of the numerical models involved in modelling a floating offshore wind turbine
Torchydra: models and tutorials for organising the repository of deep learning models
Zefyros OpenFAST: OpenFAST numerical model of the Zefyros wind turbine validated with measurements on the offshore system
TwinViews: graphical interface for comparing simulations with in situ measurements, including an advanced graphical visualisation system

Fiche du projet

Pitch vidéo

Webinaire

Rapports publics

Conclusion

In the framework of DIONYSOS project, several high-performance tools were developed for in-service monitoring of floating offshore wind turbines using a hybrid approach combining sensors and numerical simulations. These tools, tested and validated on two demonstrators deployed at sea, provide real added value in terms of improving the reliability of floating systems.

Partners

This project was led by France Energies Marines.

Funding

This project received French State funding managed by the National Research Agency under the France 2030 investment plan (ANR-10-IEED-0006-34). It also received financial support from Pôle Mer Bretagne Atlantique.

Accreditation

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

DIONYSOS

Context

Objective

Main achievements

Development of a digital model of a floating wind turbine

Specification and deployment of sensors on a machine at sea and in operation

Development of a software platform for coupling and analysing the data collected at sea with that from the numerical simulations

Testing of the digital twin on two floating offshore wind turbines: Zefyros (off Norway) and DemoSATH (off Spain)

Development of two methods for better detection and categorisation of anomalies in the behaviour of floating offshore wind turbines

Resources generated

Conclusion

Partners

Funding

Accreditation

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DIONYSOS

Context

Objective

Main achievements

Development of a digital model of a floating wind turbine

Specification and deployment of sensors on a machine at sea and in operation

Development of a software platform for coupling and analysing the data collected at sea with that from the numerical simulations

Testing of the digital twin on two floating offshore wind turbines: Zefyros (off Norway) and DemoSATH (off Spain)

Development of two methods for better detection and categorisation of anomalies in the behaviour of floating offshore wind turbines

Resources generated

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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