Economic analysis of condition monitoring systems for offshore wind turbine sub-systems
May, Allan and McMillan, David and Thöns, Sebastian (2015) Economic analysis of condition monitoring systems for offshore wind turbine sub-systems. IET Renewable Power Generation. ISSN 1752-1416 (https://doi.org/10.1049/iet-rpg.2015.0019)
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Abstract
The use of condition monitoring systems on offshore wind turbines has increased dramatically in recent times. However, their use is mostly restricted to vibration based monitoring systems for the gearbox, generator and drive train. A survey of commercially available condition monitoring systems and their associated costs has been completed for the blades, drive train, tower and foundation. This paper considers what value can be obtained from integrating these additional systems into the maintenance plan. This is achieved by running simulations on an operations and maintenance model for a wind farm over a 20 year life cycle. The model uses Hidden Markov Models to represent both the actual system state and the observed condition monitoring state. The CM systems are modelled to include reduced failure types, false alarms, detection rates and 6 month failure warnings. The costs for system failures are derived, as are possible reductions in costs due to early detection. The detection capabilities of the CM systems are investigated and the effects on operational costs are examined. Likewise, the number of failures detected 6 months in advance by the CM systems is modified and the costs reported.
ORCID iDs
May, Allan ORCID: https://orcid.org/0000-0001-5900-8179, McMillan, David ORCID: https://orcid.org/0000-0003-3030-4702 and Thöns, Sebastian;-
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Item type: Article ID code: 54611 Dates: DateEvent2015Published12 October 2015Published Online5 September 2015AcceptedNotes: This paper is a postprint of a paper submitted to and accepted for publication in IET Renewable Power Generation and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 19 Oct 2015 10:18 Last modified: 11 Nov 2024 11:12 URI: https://strathprints.strath.ac.uk/id/eprint/54611