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Optimal Maintenance Management of Offshore Wind Farms

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dc.contributor.author Pliego Marugán, Alberto
dc.contributor.author García Márquez, Fausto Pedro
dc.contributor.author Pinar Pérez, Jesús Maria
dc.date.accessioned 2017-02-03T11:35:26Z
dc.date.available 2017-02-03T11:35:26Z
dc.date.issued 2016-01-15
dc.identifier.citation Energies es_ES
dc.identifier.issn 1996-1073
dc.identifier.uri http://hdl.handle.net/10578/12097
dc.description.abstract Nowadays offshore wind energy is the renewable energy source with the highest growth. Offshore wind farms are composed of large and complex wind turbines, requiring a high level of reliability, availability, maintainability and safety (RAMS). Firms are employing robust remote condition monitoring systems in order to improve RAMS, considering the difficulty to access the wind farm. The main objective of this research work is to optimise the maintenance management of wind farms through the fault probability of each wind turbine. The probability has been calculated by Fault Tree Analysis (FTA) employing the Binary Decision Diagram (BDD) in order to reduce the computational cost. The fault tree presented in this paper has been designed and validated based on qualitative data from the literature and expert from important European collaborative research projects. The basic events of the fault tree have been prioritized employing the criticality method in order to use resources efficiently. Exogenous variables, e.g., weather conditions, have been also considered in this research work. The results provided by the dynamic probability of failure and the importance measures have been employed to develop a scheduled maintenance that contributes to improve the decision making and, consequently, to reduce the maintenance costs. es_ES
dc.format application/pdf es_ES
dc.language.iso en es_ES
dc.publisher MDPI es_ES
dc.rights info:eu-repo/semantics/openAccess es_ES
dc.subject Offshore es_ES
dc.subject Wind turbine es_ES
dc.subject Maintenance es_ES
dc.title Optimal Maintenance Management of Offshore Wind Farms es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.relation.projectID Research Grant DPI2012-31579. es_ES
dc.relation.projectID FP-7-Energy-2012-TREN-1: 322430 es_ES
dc.identifier.DOI 10.3390/en9010046


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