Wind energy must be commercially competitive to be economically sustainable. This project will look to increase wind turbine availability, reduce operational costs and reduce uncertainties around energy yield
Project Insights
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€325,982
Total Project Costs -
3 yr
Project Duration -
2018
Year Funded
Project Description
This project will improve operations & maintenance (O&M) of onshore wind turbine farms in Ireland through bespoke data analytics, focusing on early and accurate downtime prediction with significantly improved wind turbine power curve forecasts. Both will be transformative with real-time capabilities and adaptable to uncertain, imperfect or poor data. The project, a combination of feasibility study and demonstration, will use authentic, real-data from several wind farms in Ireland throughout, covering an entire range of manufacturers. The improved methodologies developed will be calibrated and implemented as a software for multiple wind farms and the improvement of O&M will be demonstrated along with its ability of replication, transferability and scalability. The results will form the most authoritative evidence base around the topic for Ireland and will be a global benchmark. The impact of the developed methods will be quantified for various energy market scenarios, especially keeping the Integrated Single Electricity Market (I-SEM) in mind. The project will demonstrably lead to increased wind turbine availability, reduction in operational costs and reduction in uncertainties around energy yield. Project outputs will include demonstrated comparison with existing industrial performance against proposed enhancement, extensive field trials, development of software and benchmark repository of performance achieved.
Project Details
Total Project Cost: €325,982
Funding Agency: SEAI
Year Funded: 2018
Lead Organisation: University College Dublin
Partner Organisation(s): Trinity College Dublin
Collaborators: WFSO Ltd; Electroroute