Computational models are generally used for the strategic planning of the O&M activities of offshore renewable farms. However, these models rely on information retrieved a priori, based on existing literature or previous experiences, with little consideration for the data obtained through sensors installed on the devices. The proposed activity aims at exploring the combined use of strategic tools and operational data, highlighting the benefits of including the information obtained from condition monitoring instrumentation at an early stage in the computer-aided definition of the O&M strategy. Despite the approach is valid for most offshore renewable technologies, this activity will put major emphasis on specific solutions for floating offshore wind turbines.

Project resources

Industrial placement at INEA - report

Industrial placement at INEA - report

Dr Giovanni Rinaldi, University of Exeter

Industrial placement at INEA - slide pack

Industrial placement at INEA - slide pack

Dr Giovanni Rinaldi, University of Exeter

Current Status and Future Trends in the Operation and Maintenance of Offshore Wind Turbines: A…

Current Status and Future Trends in the Operation and…

Giovanni Rinaldi, Philipp R. Thies, and Lars Johanning, Energies (2021)

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Supergen ORE Hub Core Partners