Classifying data, meta-data

Classifying data involves labelling and grouping datasets to provide context. In offshore renewables this could involve the creation of common taxonomies between turbine types or mapping alarms to specific turbine components. This metadata would allow for direct comparison of different technologies, could be used to optimise O&M processes and would provide a means of industry-wide benchmarking. This level of understanding would enable Owner Operators to have a better understanding of the performance of their assets and could be used to optimise operation and maintenance processes.

Type of Entry: Innovation Area

Requires implementation offshore: No

Start TRL: TRL 3

Target TRL: TRL 7

Enabler: Research Technical Organisations

Beneficiary: Owner Operators

Strategic Outcome: Maximising operational performance of existing wind farms

Forecast Start: 2020

Forecatest Finish: 2025

Potential to Reduce LCOE: Low

UK Benefit: High

Case for Intervention: High

HSE impact: Low

LCOE Notes: Wouldn’t significantly reduce LCoE but in long term it would allow industry to optimise their operations.

UK Benefit - notes: The main driver for this is collaboration between industry. This could be done in any country but is UK well positioned to do that with an independent moderator such as the Catapult.

Intervention - notes: An independent body will need to organise industry to be able to collaborate in this way.