Robotics & Autonomous Systems

Find out more about our robotics and autonomous systems testing and validation facilities.

Find out more

Electrical Infrastructure Research Hub

The Catapult has appointed the University of Strathclyde and the University of Manchester to form the Electrical Infrastructure Research Hub.

Find out more

Automation & Engineering Solutions

Find out more about our work in robotics, autonomous systems and artificial intelligence.

Find out more

Stay Current

Dig deeper into the biggest issues facing offshore wind, wave and tidal energy with our series of Analysis & Insight papers.

Find out more

Innovation Challenges

Solving these technology innovation challenges will help drive down the cost of offshore renewable energy, with positive effects for the industry and UK economy. If your technology has the answer, get in touch via our contact form on the Innovation Challenges page.

Find out more

Data & Digital Pilot Project

Cultivating innovations around connectivity, data analytics, and machine learning and artificial intelligence.

contact the team

The Data & Digital Pilot Project

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.

 


More In Data & Digital Pilot Project

Latest Insights

Cookies on Catapult explained

To comply with EU directives we now provide detailed information about the cookies we use. To find out more about cookies on this site, what they do and how to remove them, see our information about cookies. Click OK to continue using this site.

OK