As part of INF4INiTY’s commitment to knowledge transfer and dissemination, a dedicated training programme has been designed to provide technical insights from leading experts across the offshore wind value chain. The programme consists of a series of live webinars covering advanced modelling techniques, site-specific design optimisation, techno-economic assessment, and engineering challenges for floating offshore wind. Each session will be streamed live and made available on the website afterwards for on-demand viewing. Recordings, will be uploaded shortly after each webinar takes place.
Second INF4INiTY Webinar: Computationally Efficient Site-Specific Design Load Cases for Future Floating Offshore Wind Turbines
The second webinar in the INF4INiTY webinar series was delivered by Markel Peñalba Retes (Mondragon Unibertsitatea) and Gael Verao Fernández (Technische Universität Braunschweig), who presented innovative approaches for developing computationally efficient site-specific design load cases (DLCs) for future floating offshore wind turbines.
The session explored methods for characterising site-specific metocean conditions and demonstrated how clustering techniques can reduce the number of required design load cases while maintaining engineering accuracy. The webinar also addressed the integration of climate change scenarios into turbine design, supporting the development of more resilient and reliable floating offshore wind systems.
Third INF4INiTY Webinar: Minimalistic Techno-Economic Model for Offshore Wind Farms
The third webinar in the INF4INiTY webinar series featured presentations by Jens Nørkær Sørensen (DTU – Technical University of Denmark) and Gael Verao Fernández (Technische Universität Braunschweig), who introduced a minimalistic techno-economic model for offshore wind farms based on the PyWake framework.
During the session, the speakers provided an overview of the modelling approach, including its key inputs, assumptions, and setup. The webinar also presented the model validation process through a North Sea case study, illustrating how simplified techno-economic models can be used to evaluate offshore wind farm energy production and costs while supporting decision-making in the development of future offshore wind projects.
