Optimisation of Wind Energy O&M Decision Making Under Uncertainty
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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.
More Information
Potential Impact:
see main InnovateUK energy catalyst grant proposal for detail
| University of Strathclyde | LEAD_ORG |
| ONYX InSight | COLLAB_ORG |
| Romax Technology | COLLAB_ORG |
| David McMillan | PI_PER |
| Matthew Revie | COI_PER |
Subjects by relevance
- Wind energy
- Costs
- Wind farms
- Wind power stations
- Decision making
- Farms
- Future
- Renewable energy sources
- Wind
- Development projects
Extracted key phrases
- Wind Energy o&m Decision making
- Wind energy
- Reliable decision making
- Future energy mix
- Energy catalyst grant proposal
- Wind farm operator
- Optimisation
- Wind turbine asset
- Uncertainty
- Cost reduction
- Datum available
- Component health system
- Component temperature trace
- Innovative project
- Everyday operation