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University at heart of renewables revolution secures £100,000 for turbine fatigue study

Hull academics joined by industry partners in monopile machine learning work

Monopile foundations for offshore wind turbines off the Lincolnshire coast. (Image: CHPV Offhore Film & Photography)

End-of-life cycle effects on offshore wind turbines are to be studied to help maximise lifespan of the key infrastructure leading the green recovery and renewables revolution.

University of Hull has secured £100,000 to take on the task, with machine learning’s role in monitoring and predicting fatigue levels at the heart of the work. It brings industry and academia together under computer science lecturer Dr Nina Dethlefs.

A specific focus will be the monopile of the turbine – the huge steel structure piled into the seabed, lifting the balance of the plant well above the water.

It is described as one of the most at-risk components, due to stresses and strains caused by the impact of waves, tides and weather over and above the operations.

The cash has come from the Supergen Offshore Renewable Energy Hub.

Dr Dethlefs, principal investigator of the new project, said: “Accurate estimation of monopile fatigue is essential to help inform decisions which are made into the potential decommissioning and replacement of offshore wind turbines, as well as optimising future design and maintenance.

“Due to the challenging and unpredictable environments these turbines are located in, accurate predictions on the fatigue and wear are often subject to significant error.

“Using machine learning, we hope to be able to more accurately predict the end-of-life stage of a turbine. A huge thank you must go to the Supergen ORE Hub for its support in this vital research.”