CONTEXT.

In 2022, there was a definitive leap towards the commercial launch of floating wind technology. It is projected that in the next 6-8 years, numerous floating offshore wind farms will be developed. This presents challenges that do not arise in individual prototypes, as the transition needs to be made from demonstrating the correct functioning of the technology for a limited period of time to ensuring its operation throughout its entire lifespan. There is a significant technological leap from over-sizing the first prototype to demonstrate its technical feasibility, to optimizing its design to also demonstrate its economic viability.

Currently, there are multiple models and tools for offshore O&M, which provide precise solutions to specific problems. In addition to their specificity, these models have other shortcomings: (1) They lack real information on failure rates, (2) They lack proper market orientation, and (3) They lack a comprehensive view that encompasses all aspects related to the various critical components and activities surrounding the operation and maintenance of a wind farm. Comprehensive approaches to the problem are missing, ones that allow a single model to analyze data and make decisions. The INTEGRIA project aims to address some of these challenges.

OBJECTIVES.

The objective of INTEGRIA is to generate a comprehensive unique model composed of several digital models based on Artificial Intelligence (AI) for structural elements, mooring system, electrical evacuation and feed elements, access system, and hydraulic and mechanical systems for wind turbine control. To achieve this, the following technical objectives have been proposed:

- Study optimization of the design of critical components for floating wind turbine operation through a digital model architecture based on AI techniques.

- Design the HW/SW infrastructure for data management (acquisition, storage, and processing) where the different digital models will be integrated.

- Research innovative monitoring and inspection systems for critical elements: hang-off of the power electrical connector, TP (transition piece), mooring lines, degradation, etc.

- Analyze ML models to validate the structural behavior of critical elements of the floating wind turbine: prevent failures, fatigue analysis, study remaining life, etc.

- Investigate AI-based models to characterize the degradation of critical elements, through the analysis of behavior against corrosion of novel coatings.

- Validate the innovations generated throughout the project through laboratory tests and in HarshLab, to feed the digital models with real operation data.

CONSORTIUM.

The project is led by Nautilus Floating Solutions, and the consortium is composed of 12 companies and 3 technological centers: Alerion, Ceit Centro Tecnológico, CIDETEC, CoreMarine, DITREL INDUSTRIAL S.L., ERREKA, GLUAL ENERGY, HINE GROUP, Ibermática, Innomat, KERA - COAT, LAULAGUN BEARINGS, NAVACEL PROCESS INDUSTRIES SA, and TECNALIA.