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Economic evaluation of maintenance strategies for wind turbines: a stochastic analysis
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Internal Combustion Engines.ORCID iD: 0000-0002-4937-8915
Fraunhofer Institute for Wind Energy and Energy System Technology IWES.
Institute for Future Energy Consumer Needs and Behavior (FCN), School of Business and Economics/E.ON Energy Research Center, RWTH Aachen University.
2015 (English)In: IET Renewable Power Generation, ISSN 1752-1416, E-ISSN 1752-1424, Vol. 9, no 7, 766-774 p.Article in journal (Refereed) Published
Abstract [en]

The authors develop a stochastic model for assessing the life-cycle cost and availability of wind turbinesresulting from different maintenance scenarios, with the objective to identify the most cost-effective maintenancestrategy. Using field-data-based reliability models, the wind turbine – in terms of reliability – is modelled as a serialconnection of the most critical components. Both direct cost for spare parts, labour and access to the turbine, as wellas indirect cost from production losses are explicitly taken into account. The model is applied to the case of a VestasV44–600 kW wind turbine. Results of a reliability-centred maintenance analysis of this wind turbine are used to selectthe most critical wind turbine components and to identify possible maintenance scenarios. This study reveals thatcorrective maintenance is the most cost-effective maintenance strategy for the gearbox and the generator of the V44turbine, while the cost benefit of condition-based maintenance using online condition-monitoring systems increaseswith higher electricity price, turbine capacity and remoteness of sites.

Place, publisher, year, edition, pages
Institution of Engineering and Technology, 2015. Vol. 9, no 7, 766-774 p.
Keyword [en]
Wind energy, LCC, Reliability, Maintenance, Monte-Carlo simulation
National Category
Reliability and Maintenance Business Administration
Research subject
Energy Technology
Identifiers
URN: urn:nbn:se:kth:diva-169718DOI: 10.1049/iet-rpg.2014.0260ISI: 000360304500007OAI: oai:DiVA.org:kth-169718DiVA: diva2:825134
Note

QC 20150626

Available from: 2015-06-23 Created: 2015-06-23 Last updated: 2017-12-04Bibliographically approved

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fulltext(390 kB)188 downloads
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Kerres, Bertrand

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