In the coming years, continuing digitalisation of offshore renewable energy will see the adoption of several new technologies and methodologies that make use of advances in connectivity, data analytics, machine learning and artificial intelligence. The combination of these smart, connected technologies could open up big opportunities to optimise offshore renewable energy operations at all stages: development, manufacture, construction, operation and decommissioning.
As such, the Data & Digital Pilot project is an overarching project aimed at developing capabilities and innovations around the three key areas of connectivity, data analytics, and machine learning and artificial intelligence. The Catapult has worked with some of the leading institutions in data analysis and machine learning and artificial intelligence to deliver the key objectives of this project.
Key Project Areas
Connectivity: this area is concerned with investigating the requirements for a windfarm wide control, the technical and commercial challenges of implementing a windfarm wide control, as well as a quantification of cost benefits of implementing windfarm wide control.
Data Analytics: this area is concerned with investigating the methods for analysing offshore windfarm data which is classed as “big data”.
Machine Learning and Artificial Intelligence: this area is concerned with investigating the methodologies which can be applied to offshore wind turbines to allow the turbines to use their live operational data to make operational decisions which will allow the turbines to operate more efficiently, and could also allow an optimised maintenance plans for the turbines.
