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On the economic benefits of using condition monitoring systems for maintenance management of wind power systems
KTH, School of Electrical Engineering (EES).
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.
2010 (English)In: 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010, 2010, 160-165 p.Conference paper, Published paper (Refereed)
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 high need for frequent maintenance. Current maintenance planning is generally not optimized, and it is possible to make maintenance more efficient. Condition Monitoring Systems (CMS) are commonly used in other industries and can reduce the consequential damage at failure and provides advantages for the planning of the maintenance. It is of interest to determine if the wind industry would benefit of the use of CMS. This paper shows results from Life-Cycle-Cost (LCC) evaluated with probabilistic methods and sensitivity analysis to identify the benefit of using CMS. The results highlight that there is a high economic benefit of using CMS, as well as benefits on the risk. The benefit is highly influenced by the reliability of the gearbox.

Place, publisher, year, edition, pages
2010. 160-165 p.
Keyword [en]
Condition monitoring, Life cycle cost, Maintenance, Wind energy
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-25045DOI: 10.1109/PMAPS.2010.5528992Scopus ID: 2-s2.0-77956427229ISBN: 978-142445723-6 (print)OAI: oai:DiVA.org:kth-25045DiVA: diva2:355263
Conference
IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010; Singapore; 14 June 2010 through 17 June 2010
Note
QC 20101006Available from: 2010-10-06 Created: 2010-10-06 Last updated: 2010-10-21Bibliographically approved
In thesis
1. On Optimal Maintenance Management for Wind Power Systems
Open this publication in new window or tab >>On Optimal Maintenance Management for Wind Power Systems
2009 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Sound maintenance strategies and planning are of crucial importance for wind power systems, and especially for offshore locations. In the last decades, an increased awareness of the impact of human living on the environment has emerged in the world. The importance of developing renewable energy is today highly recognized and energy policies have been adopted towards this development. Wind energy has been the strongest growing renewable source of energy this last decade. Wind power is now developing offshore where sites are available and benefits from strong and steady wind. However, the initial investments are larger than onshore, and operation and maintenance costs may be substantially higher due to transportation costs for maintenance and accessibility constrained by the weather.

Operational costs can be significantly reduced by optimizing decisions for maintenance strategies and maintenance planning. This is especially important for offshore wind power systems to reduce the high economic risks related to the uncertainties on the accessibility and reliability of wind turbines.

This thesis proposes decision models for cost efficient maintenance planning and maintenance strategies for wind power systems. One model is proposed on the maintenance planning of service maintenance activities. Two models investigate the benefits of condition based maintenance strategies for the drive train and for the blades of wind turbines, respectively. Moreover, a model is proposed to optimize the inspection interval for the blade. Maintenance strategies for small components are also presented with simple models for component redundancy and age replacement.

The models are tested in case studies and sensitivity analyses are performed for parameters of interests. The results show that maintenance costs can be significantly reduced through optimizing the maintenance strategies and the maintenance planning.

Place, publisher, year, edition, pages
Stockholm: KTH, 2009. 76 p.
Series
Trita-EE, ISSN 1653-5146 ; 2009:051
Keyword
Wind Power, Maintenance, Reliability, Optimization
Identifiers
urn:nbn:se:kth:diva-11793 (URN)978-91-7415-482-5 (ISBN)
Presentation
2009-12-04, Sal D3, KTH, Lindstedtvägen 5, Stockholm, 13:00 (English)
Opponent
Supervisors
Available from: 2009-12-21 Created: 2009-12-18 Last updated: 2010-11-03Bibliographically approved
2. 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.
Series
Trita-EE, ISSN 1653-5146 ; 2009:042
Keyword
electrical poduction systems, windpower, nuclear power, maintenance management, RCM, RCAM, LCC, mathematical optimization, opportunistic maintenance
Identifiers
urn:nbn:se:kth:diva-11321 (URN)978-91-7415-448-1 (ISBN)
Presentation
K2, Teknikrigen 28, KTH (Swedish)
Opponent
Supervisors
Projects
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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