Projects
Projects: Summary of Projects by RegionProjects in Region Scotland involving University of Strathclyde : EP/P019544/1 |
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| Reference Number | EP/P019544/1 | |
| Title | Optimisation of Wind Energy O&M Decision Making Under Uncertainty | |
| Status | Completed | |
| Energy Categories | Renewable Energy Sources(Wind Energy) 100%; | |
| Research Types | Applied Research and Development 50%; Basic and strategic applied research 50%; |
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| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 25%; PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 50%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 25%; |
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| UKERC Cross Cutting Characterisation | Not Cross-cutting 75%; Sociological economical and environmental impact of energy (Other sociological economical and environmental impact of energy) 25%; |
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| Principal Investigator |
Dr D McMillan No email address given Electronic and Electrical Engineering University of Strathclyde |
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| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 08 October 2016 | |
| End Date | 07 October 2017 | |
| Duration | 12 months | |
| Total Grant Value | £66,545 | |
| Industrial Sectors | Energy | |
| Region | Scotland | |
| Programme | Energy : Energy | |
| Investigators | Principal Investigator | Dr D McMillan , Electronic and Electrical Engineering, University of Strathclyde (99.999%) |
| Other Investigator | Dr M Revie , Management Science, University of Strathclyde (0.001%) |
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| Web Site | ||
| Objectives | ||
| Abstract | 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 | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 19/07/17 | |
