Riccardo Meda
Impact of Forecast Uncertainty in O&M scheduling for OWF, FCM Machine Learning integration.
Rel. Giovanni Bracco. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Energetica E Nucleare, 2024
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Abstract
The exploitation of offshore wind farm in energy production necessitates a reduction in cost associated to maintenance and operation that highly contribute to the total cost of the technology. Maintenance activity scheduled as preventive intervention, reduces the probabilities of failure for the turbines, decreasing economic losses due to production loss. Scheduling the operations with priority or urgency considerations, permit to exploit the activities on days with lower wind resources, maximizing the energy production. Contemplating the perturbations of the wind flow created from the wake effect by upstream turbines for specific wind direction along the farm, is possible to optimize the downtime energy losses.
In fact, by a selectively deactivation of specific turbines for maintenance activities, the minimization of energy losses could be pursued, impacting on the overall energy production
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