Optimisation of Wind Energy O&M Decision Making Under Uncertainty: InnovateUK R3 Energy Catalyst

Project: Research

Description

Wind energy will play a full part in decarbonisation of the future energy mix - if the costs can be reduced. This project develops a technological concept that helps achieve that cost reduction, by utilising data in a way which directly supports quick and reliable decision making in the everyday operation of a wind farm, either on- or offshore. The volume of data available from wind turbine assets is staggering - from component temperature traces, to weather forecasts, to sea conditions. But ultimately that data needs to be used by a control room engineer to change a decision in order to be useful. This innovative project develops a decision-making system that combines advanced visualisation methods and component health systems developed by UK SMEs with decision-theory from academia, and brings this together in a way that a wind farm operator can utilise to drive down the cost of operating a wind farm.
StatusFinished
Effective start/end date8/10/167/10/17

Funding

  • EPSRC (Engineering and Physical Sciences Research Council): £66,545.00

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Farms
Wind power
Decision making
Catalysts
Decarbonization
Decision theory
Cost reduction
Wind turbines
Costs
Visualization
Health
Engineers
Uncertainty
Temperature