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, the project team organised a final webinar to present the tools developed and how they can be used by the sector.

Watch the whole DIONYSOS webinar

PROGRAMME

• Introduction
  • Welcome word, context, and agenda – Romain Ribault, France Energies Marines > Slides | Video
• 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, SERCEL > Slides | Video
  • Coupled eigen-frequency analysis of floating wind turbines – Jérôme de Lauzon, Bureau veritas > Slides | Video
  • Machine learning approaches for floating offshore wind turbine – Adrien Hirvoas, France Energies Marines > Slides | Video
• Application of the digital Intelligent operational network architecture to the SATH Technology
  • Technology philosophy based on DemoSATH case study – Manuel Fernández, SAITEC Offshore Technologies > Slides | Video
  • Description and model and measure comparisons of digital twin – Romain Ribault, France Energies Marines > Slides | Video
• Interactive Q&A session > Video
• Conclusion > Slides | Video

OPEN LICENCE TOOLS

Four types of digital tools have been developed as part of DIONYSOS, for use by the sector. They are available under an open licence, documented and accessible on France Energies Marines’ GitLab software forge.

• Simuoptuna which is a tool for optimising the parameters intrinsic to the numerical models involved in modelling a floating offshore wind turbine. By forcing the global numerical model with in situ-data, it becomes possible to predict key parameters that have not been measured, but which are crucial to the reliability and efficiency of the wind turbine, such as mooring lines tension, electricity production or the bending moment at the blades. Having a digital model calibrated with real data also makes it possible to generate virtual sensors that offer more accurate monitoring of the fatigue life of critical components.
• Torchydra which offers models and tutorials for organising the repository of deep learning models.
• Zefyros OpenFAST which is the OpenFAST numerical model of the Zefyros wind turbine validated with measurements on the offshore system.
• TwinViews which is a graphical interface for comparing simulations with in situ measurements and includes an advanced graphical visualisation system.

Photo credit: Yohann Boutin