Structural health diagnostics of offshore wind platforms using artificial intelligence techniques (DIA)

DIA is a cooperative and interdisciplinary research project that aims to develop, verify and validate artificial intelligence-based algorithms to monitor offshore wind structures. The project brings together experts in mathematics, scientific computing, artificial intelligence and engineering. The aim is to reduce operation and maintenance costs.

We aim to minimise uncertainty in the estimation of anchoring system failures of floating wind turbines through data processing and numerical modelling.

Applicability/impact of the results:
The development of floating offshore wind power is still at an early stage in the Basque Country.

This also has an impact on the availability of experimental data and, on the other hand, on the immediate applicability of our findings. However, the Basque Country has significant industrial, human and technological resources in renewable energies and, in particular, onshore wind power. Companies and institutions like Nautilus, Iberdrola, Murueta, Nervión, Navacel, Vicinay, CT, Ormazabal, NEM Solutions, Erreka, HWS Concrete Towers, Uniportbilbao, Basque Maritime Forum and the Energy Cluster, Tecnalia, IK4- Ikerlan, Vicinay Marine Innovation and OCT are already participating in initiatives related to floating wind power: case studies, design, optimisation and supply of components. Therefore, the economic impact of our work is the development and implementation of smart and optimised technologies for an efficient exploitation of offshore wind power.