Project Details
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.
| Status | Finished |
|---|---|
| Effective start/end date | 8/10/16 → 7/10/17 |
Funding
- EPSRC (Engineering and Physical Sciences Research Council): £66,545.00
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Research output
- 1 Other report
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Optimisation of Wind Energy O&M Decision Making Under Uncertainty [Final Report]: Exploitation Plan
McMillan, D. & Browell, J., 2017, Glasgow: University of Strathclyde. 11 p.Research output: Book/Report › Other report
Open AccessFile105 Downloads (Pure)
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Royal Statistical Society Conference 2017
Browell, J. (Speaker)
7 Sept 2017Activity: Presenting or Organising an Event › Participation in conference
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A Heavy Lift Decision Support Tool
McMillan, D. (Speaker)
20 Jun 2017Activity: Talk or Presentation › Invited talk
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Wind Energy Science Conference 2017
Browell, J. (Speaker)
26 Jun 2017 → 29 Jun 2017Activity: Presenting or Organising an Event › Participation in conference