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Maintenance management of wind power systems using condition monitoring systems - Life cycle cost analysis for two case studies
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0003-4763-9429
2007 (English)In: IEEE transactions on energy conversion, ISSN 0885-8969, Vol. 22, no 1, 223-229 p.Article in journal (Refereed) Published
Abstract [en]

The large growth in the wind power industry in the past years. mainly focuses on a growing market and the development of large turbines and offshore farms. The high technical availability of wind turbines comes with a greater need for frequent maintenance. Current maintenance planning is not optimized, and it is possible to make maintenance more efficient. Condition monitoring systems (CMS) could resolve the growing wind power industry's need for better maintenance management and increased reliability. Such systems are commonly used in other industries. CMS could continuously monitor the performance of the wind turbine parts and could help determine specific maintenance timing. This paper presents a life cycle cost (LCC), analysis with strategies where CMS improved maintenance planning for a single wind turbine onshore and a wind farm offshore. Case studies are based on real data from Olsvenne2 at Nasudden (Gotland, Sweden) and Kentish Flats, in the U.K. The main conclusion is that CMS benefits maintenance management of wind power systems. Improvements can be especially shown for offshore wind farm maintenance planning.

Place, publisher, year, edition, pages
2007. Vol. 22, no 1, 223-229 p.
Keyword [en]
condition monitoring systems (CMS), life cycle cost (LCC), maintenance, reliability centered maintenance (RCM), wind power, impact
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-16442DOI: 10.1109/tec.2006.889623ISI: 000244799800028ScopusID: 2-s2.0-33947708442OAI: diva2:334484
QC 20100525Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2011-01-13Bibliographically approved
In thesis
1. On maintenance management of wind and nuclear power plants
Open this publication in new window or tab >>On maintenance management of wind and nuclear power plants
2009 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Electrical production in Sweden today is mainly from nuclear and hydro power. However, there is large increase in renewable energy like wind power and the installed new capacity goals are large. Several electrical production sources are important for the sustainability of the energy system. Maintenance is an approach for keeping a system sustainable. The importance of structured maintenance for reliable electrical production systems triggers the development of qualitative and quantitative maintenance management methods. Examples of these methods are Reliability-Centered Maintenance (RCM) which is a structured qualitative approach that focuses on reliability when planning maintenance, and Reliability Centered Asset Management (RCAM) which is a development of RCM into a quantitative approach with the aim to relate preventive maintenance to total maintenance cost and system reliability.

This thesis presents models, as applications of RCAM, based on the methods of Life Cycle Cost (LCC) and mathematical optimization, applied to wind and nuclear power plants. Both deterministic and stochastic approaches have been used and the proposed models are based on the Total Cost model, which summarizes costs for maintenance and production loss, and the Aircraft model, which is an opportunistic maintenance optimization model. Opportunistic maintenance is preventive maintenance performed at opportunities. The wind power applications in this study show on different ways to cover costs of condition monitoring systems (CMS) and further on economic benefits of these when uncertainties of times to failure are included in the model. The nuclear power applications show on that the optimization model is dependent on the discount rate and that a high discount rate gives more motivation for opportunistic replacements. When put into a stochastic framework and compared to other maintenance strategies it is shown that an extended opportunistic maintenance optimization model has a good overall performance, and that it, for high values of the constant cost of performing maintenance, is preferable to perform opportunistic maintenance. The proposed models, applied to wind and nuclear power plants, could be extended and adapted to fit other components and systems.

Place, publisher, year, edition, pages
Stockholm: KTH, 2009. vii, 38 p.
Trita-EE, ISSN 1653-5146 ; 2009:042
electrical poduction systems, windpower, nuclear power, maintenance management, RCM, RCAM, LCC, mathematical optimization, opportunistic maintenance
urn:nbn:se:kth:diva-11321 (URN)978-91-7415-448-1 (ISBN)
K2, Teknikrigen 28, KTH (Swedish)
Reliability and cost centered maintenance methods
Available from: 2009-10-26 Created: 2009-10-23 Last updated: 2010-10-21Bibliographically approved

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