The UK’s national Operations & Maintenance (O&M) Centre of Excellence has partnered with Ørsted in a £400k project to develop an approach to sea state forecasting, which aims to deliver a reduction in missed working days.
The project team, led by academics from the University of Hull, is working closely with Ørsted to help improve wave forecast modelling with direct industrial impact. The model will contribute to improving the accuracy of sea state forecasting at an individual offshore wind turbine level.
Multiple downward-facing radar have been installed at turbines at Ørsted’s Burbo Bank Extension wind farm off Liverpool to record wave height, direction and period together with combined met-ocean data and existing forecasts. This big-marine-data approach, along with bathymetry and site configuration data, is enabling researchers to produce an artificial intelligence-based method that will be used to make a step-change in the resolution and accuracy of fine-scale at offshore windfarm sites.