Reliability Assessment of Wind Turbines

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

3 Citations (Scopus)

Abstract

Wind turbines can be considered as structures that are in between civil engineering structures and machines since they consist of structural components and many electrical and machine components together with a control system. Further, a wind turbine is not a one-of-a-kind structure but manufactured in series production based on many component tests, some prototype tests and zeroseries wind turbines. These characteristics influence the reliability assessment where focus in this paper is on the structural components. Levelized Cost Of Energy is very important for wind energy, especially when comparing to other energy sources. Therefore much focus is on cost reductions and improved reliability both for offshore and onshore wind turbines. The wind turbine components should be designed to have sufficient reliability level with respect to both extreme and fatigue loads but also not be too costly (and safe). In probabilistic design the single components are designed to a level of reliability, which accounts for an optimal balance between failure consequences, cost of operation & maintenance, material costs and the probability of failure. Furthermore, using a probabilistic design basis for reliability assessment it is possible to design wind turbines such that site-specific information on climate parameters can be included. Illustrative examples are presented considering uncertainty modeling, reliability assessment and reliability-based calibration of partial safety factors for structural wind turbine components exposed to extreme loads and fatigue loads.
Original languageEnglish
Title of host publicationProceedings of 12th International Conference on Applications of Statistics and Probability in Civil Engineering
EditorsTerje Haukaas
Number of pages8
PublisherCivil Engineering Risk and Reliability Association
Publication date2015
Article number636
DOIs
Publication statusPublished - 2015
EventICASP12: 12th International Conference on Applications of Statistics and Probability in Civil Engineering - Vancouver, Canada
Duration: 12 Jul 201515 Jul 2015
Conference number: 12

Conference

ConferenceICASP12
Number12
CountryCanada
CityVancouver
Period12/07/201515/07/2015

Fingerprint

Wind turbines
Turbine components
Fatigue of materials
Costs
Machine components
Safety factor
Civil engineering
Cost reduction
Wind power
Calibration
Control systems

Keywords

  • Wind Turbines
  • Reliability Assessment
  • Offshore wind turbines

Cite this

Sørensen, J. D. (2015). Reliability Assessment of Wind Turbines. In T. Haukaas (Ed.), Proceedings of 12th International Conference on Applications of Statistics and Probability in Civil Engineering [636] Civil Engineering Risk and Reliability Association. https://doi.org/10.14288/1.0076166
Sørensen, John Dalsgaard. / Reliability Assessment of Wind Turbines. Proceedings of 12th International Conference on Applications of Statistics and Probability in Civil Engineering. editor / Terje Haukaas. Civil Engineering Risk and Reliability Association, 2015.
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Sørensen, JD 2015, Reliability Assessment of Wind Turbines. in T Haukaas (ed.), Proceedings of 12th International Conference on Applications of Statistics and Probability in Civil Engineering., 636, Civil Engineering Risk and Reliability Association, ICASP12, Vancouver, Canada, 12/07/2015. https://doi.org/10.14288/1.0076166

Reliability Assessment of Wind Turbines. / Sørensen, John Dalsgaard.

Proceedings of 12th International Conference on Applications of Statistics and Probability in Civil Engineering. ed. / Terje Haukaas. Civil Engineering Risk and Reliability Association, 2015. 636.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Sørensen JD. Reliability Assessment of Wind Turbines. In Haukaas T, editor, Proceedings of 12th International Conference on Applications of Statistics and Probability in Civil Engineering. Civil Engineering Risk and Reliability Association. 2015. 636 https://doi.org/10.14288/1.0076166