Floating wind turbine monitoring

Against a backdrop of energy transition, renewable energies are experiencing rapid growth. Floating offshore wind turbines stand out for their higher production performance. However, for this technology to be economically viable, it is crucial to optimise the lifespan of these systems and improve their performance. One of the major challenges therefore lies in the ability to assess the actual state of fatigue of the structures, and to identify any potential anomalies.

This was the aim of the DIONYSOS R&D project, which uses a methodology based on the concept of a digital twin – in other words, a virtual replica of a physical system – to simulate, analyse and optimise its performance in real time. This webinar will focus on the main outputs of the project useful and usable for the sector.

On 10 December, from 10am to 12pm (CET), the project team is organising a final webinar to present the tools developed and how they can be used by the sector.

Register now for DIONYSOS webinar

PROGRAMME

• Introduction
  • Welcome word, context, and agenda – Romain Ribault, France Energies Marines
• An investigation of the Zefyros floating wind turbine system based on in situ and simulated data
  • Effects of floater flexibility on the dynamic response of the wind turbine Zefyros – César Aguilera Esquivel, SERCEL
  • Coupled eigen-frequency analysis of floating wind turbines – Jérôme de Lauzon, Bureau veritas
  • Machine learning approaches for floating offshore wind turbine – Adrien Hirvoas, France Energies Marines
• Application of the digital Intelligent operational network architecture to the SATH Technology
  • Technology philosophy based on DemoSATH case study – Manuel Fernández Pérez, Saitec Offshore Technologies
  • High-level description and model and measure comparisons of digital twin technology – Romain Ribault, France Energies Marines
• Interactive Q&A session
• Conclusion

Photo credit: Yohann Boutin