It provides insights into structural loadings, limit states, system and components integrity, and serves as a tool to analyse accessibility, plan maintenance and optimise the operation of the assets.
It uses a physical real-time model and machine learning methods inside its digital twin to reduce uncertainty and increase reliability and bankability of commercial floating wind farms.
Get in touch with the team to learn more about the Ozea solution and our services for floating wind turbine monitoring.
Our product streamlines data from different sources and combines it in a modular, model-based, and holistic monitoring solution for floating wind turbines which supports O&M by providing insights into fatigue loading, risk-of-failure indicators, and operational states.
Verified real-time simulation models and machine learning for dynamic load reconstruction and condition assessments.
Always-on telemetry and cloud storage with user-friendly UI and automated reporting system.
Indicators for predictive maintenance, risk-based inspections and accessibility of the platform.
Digital team, AMOG
Managing Director, sowento
Product Developer, sowento
Associate Director, AMOG
Ozea’s team leverages more than 40 years of combined experience to commercialise a holistic integrity monitoring solution for the floating offshore wind sector. It brings together two independent companies, each with an impressive track record of delivering monitoring and engineering solutions to the wind and offshore energy sectors. The solution lies in the use of aggregate data, effectively utilising sowento’s expertise in floating wind simulation and system analysis and remote sensing techniques such as lidar and combining it with AMOG’s field-proven integrity monitoring solution for floating platforms, SMIC.
