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Pubblication Details
Authors:Andrea Bobbio
Marco Cappicciola
Davide Cerotti
Daniele Codetta Raiteri
Lavinia Egidi
Giuliana Franceschinis
Edoardo Martino L'Aurora
Marzio Alfio Pennisi
Luigi Portinale
Noemi Silicato
Scientific Area:Dependability and Reliability
Title:Risk Assessment Models in Hydroelectric Plants
Published on:European Performance Engineering Workshop (EPEW)
Year:2025
Tipo Pubblicazione:Paper on Proceedings International Conference
URL:https://ehubox.ehu.eus/s/iGwsKySza8PWJ2d
Abstract:Recently, renewable energy including hydroelectric power, is gain-ing relevance. Hydropower plant operation is influenced by many factors, sorisk assessment becomes a key process to schedule maintenance and guaran-tee the production of the necessary amount of energy. We define a method-ology for risk analysis considering failure processes and repair actions, andbased on the definition of component and subsystem hierarchy, interdepen-dencies, failure and repair parameters. Hierarchy higher levels are modelledby Fault Trees, while lower levels are modelled by a direct dependency graph.Component Health Status (CHS©) is a wear index evaluated by experts, fromwhich failure and repair distributions are derived through a fitting procedure.Producibility levels and risk matrix are the output of our methodology, whichis applied, as a case study, to a simplified hydropower plant.