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On Optimal Maintenance Management for Wind Power Systems
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering. (RCAM)
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 [en]
Wind Power, Maintenance, Reliability, Optimization
Identifiers
URN: urn:nbn:se:kth:diva-11793ISBN: 978-91-7415-482-5 (print)OAI: oai:DiVA.org:kth-11793DiVA: diva2:282226
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
List of papers
1. An Optimization Framework for Opportunistic Maintenance of Offshore Wind Power System
Open this publication in new window or tab >>An Optimization Framework for Opportunistic Maintenance of Offshore Wind Power System
Show others...
2009 (English)In: 2009 IEEE BUCHAREST POWERTECH, VOLS 1-5 / [ed] Toma L; Otomega B, NEW YORK: IEEE , 2009, 2970-2976 p.Conference paper, Published paper (Refereed)
Abstract [en]

A sound maintenance planning is of crucial importance for wind power farms, and especially for offshore locations. There is a large potential in cost savings by maintenance optimization to make the projects more cost-efficient. This paper presents an opportunistic maintenance optimization model for offshore wind power system. The model takes advantage of wind forecasts and corrective maintenance activities in order to perform preventive maintenance tasks at low costs. The approach is illustrated with an example to demonstrate the value of the optimization. In this example 43% of the cost to perform preventive maintenance could be saved using the proposed method.

Place, publisher, year, edition, pages
NEW YORK: IEEE, 2009
Keyword
Maintenance optimization, offshore wind power, opportunistic maintenance
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-25041 (URN)10.1109/PTC.2009.5281868 (DOI)000276834601170 ()2-s2.0-74949136228 (Scopus ID)978-1-4244-2234-0 (ISBN)
Conference
Bucharest PowerTech Conference. Bucharest, ROMANIA, JUN 28-JUL 02, 2009
Note
QC 20101006Available from: 2010-10-06 Created: 2010-10-06 Last updated: 2010-10-06Bibliographically approved
2. On the economic benefits of using condition monitoring systems for maintenance management of wind power systems
Open this publication in new window or tab >>On the economic benefits of using condition monitoring systems for maintenance management of wind power systems
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.

Keyword
Condition monitoring, Life cycle cost, Maintenance, Wind energy
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-25045 (URN)10.1109/PMAPS.2010.5528992 (DOI)2-s2.0-77956427229 (Scopus ID)978-142445723-6 (ISBN)
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
3. An approach for condition-based maintenance optimization applied to wind turbine blades
Open this publication in new window or tab >>An approach for condition-based maintenance optimization applied to wind turbine blades
2010 (English)In: IEEE Transactions on Sustainable Energy, ISSN 1949-3029, Vol. 1, no 2, 77-83 p.Article in journal (Refereed) Published
Abstract [en]

A sound maintenance planning is of crucial importance for wind power systems. There is a large potential in cost savings by optimizing maintenance decisions to make the projects more cost-efficient. This paper presents an approach to optimize condition-based maintenance strategies for components which degradation can be classified according to the severity of the damage. The approach is applicable to inspection-based maintenance as well as maintenance based on online condition-monitoring systems. This enables us to compare the maintenance strategies within a unified framework. First decisions associated with the different maintenance strategies are optimized, then the expected life cycle maintenance costs of the strategies are compared. The model is applied to blades of wind turbine in order to compare three maintenance strategies: visual inspection, inspection with a condition-monitoring technique (e.g., ultrasonic or thermography), and online condition monitoring (e.g., fiber optic). It is shown that online condition monitoring is the optimal maintenance strategy for high failure rate and low crack time to failure. In other cases, inspection with condition-based maintenance is slightly more beneficial. © 2010 IEEE.

Keyword
Condition based maintenance, Cost saving, Cost-efficient, Degradation model, Expected life, Failure rate, Maintenance decisions, maintenance optimization, Maintenance planning, Maintenance strategies, Monitoring system, Monitoring techniques, On-line conditions, Online condition monitoring, Optimal maintenance, Time to failure, Unified framework, Visual inspection, Wind power systems, Wind turbine blades
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-25047 (URN)10.1109/TSTE.2010.2049452 (DOI)000208787900003 ()2-s2.0-77955702713 (Scopus ID)
Note
QC 20101006. Tidigare titel:" An Approach for Maintenance Inspection Optimization Applied to Wind Turbine Blades".Available from: 2010-10-06 Created: 2010-10-06 Last updated: 2010-10-06Bibliographically approved

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