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An evaluation approach for opportunistic maintenance optimization models for nuclear power plants
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.
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2010 (English)In: Power and Energy Society General Meeting, 2010 IEEE, IEEE , 2010Conference paper (Refereed)
Abstract [en]

Nuclear power constitutes one of the main electricity production sources in several countries, e.g. in Sweden, with about half of today's electricity production. Driving forces for cost-efficiency have pushed the development of new methods for maintenance planning and optimization forward. Reliability Centered Asset Management (RCAM) is one of these new approaches, and maintenance optimization is one way to perform quantitative analysis which is a feature of RCAM. This paper proposes a stochastic framework for evaluating opportunistic maintenance optimization models for the generation of replacement schedules for shaft seals in feed-water pump systems in nuclear power plants. Results show that the extended discounted model has a good overall performance, when compared to other strategies. Moreover, it is shown that it is the best strategy for high values of the constant cost for maintenance and the second best for lower values of the constant cost.

Place, publisher, year, edition, pages
IEEE , 2010.
, IEEE Power and Energy Society General Meeting PESGM
Keyword [en]
Maintenance management, nuclear power, opportunistic maintenance, optimization, reliability
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-25424DOI: 10.1109/PES.2010.5589929ISI: 000287611903144ScopusID: 2-s2.0-78649618308ISBN: 978-1-4244-8357-0OAI: diva2:358183
Power and Energy Society General Meeting, 2010 IEEE, 25-29 July 2010, Minneapolis, MN, USA
QC 20101021Available from: 2010-10-21 Created: 2010-10-21 Last updated: 2011-11-04Bibliographically 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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