IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v200y2022icp724-742.html
   My bibliography  Save this article

Fatigue reliability of wind turbines: historical perspectives, recent developments and future prospects

Author

Listed:
  • Liao, Ding
  • Zhu, Shun-Peng
  • Correia, José A.F.O.
  • De Jesus, Abílio M.P.
  • Veljkovic, Milan
  • Berto, Filippo

Abstract

Wind, as a sustainable and affordable energy source, represents a strong alternative to traditional energy sources. However, wind power is only one of the options, together with other renewable energy sources. Consequently, the core concerns for wind turbine manufacturers and operators are to increase its reliability and decrease costs, therefore enhancing commercial competitiveness. Among typical failure modes of wind turbines, fatigue is a common and critical source. Given the significance of fatigue reliability in wind turbine structural integrity, reliable probabilistic fatigue theories are necessary for design scheme optimization. By reducing the expenses on manufacturing, operation, and maintenance in reliability- and cost-optimal ways, the cost of energy can be significantly reduced. This study systematically reviews the state-of-the-art technology for fatigue reliability of wind turbines, and elaborates on the evolution of methodology in wind load uncertainty modelling. In addition, fatigue reliability assessment techniques on four typical components are summarized. Finally, discussions and conclusions are presented, intending to provide direct insights into future theoretical development and methodological innovation in this field.

Suggested Citation

  • Liao, Ding & Zhu, Shun-Peng & Correia, José A.F.O. & De Jesus, Abílio M.P. & Veljkovic, Milan & Berto, Filippo, 2022. "Fatigue reliability of wind turbines: historical perspectives, recent developments and future prospects," Renewable Energy, Elsevier, vol. 200(C), pages 724-742.
    • Handle: RePEc:eee:renene:v:200:y:2022:i:c:p:724-742
    DOI: 10.1016/j.renene.2022.09.093
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122014525
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2022.09.093?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Erik E. Kostandyan & John D. Sørensen, 2011. "Reliability Assessment of Solder Joints in Power Electronic Modules by Crack Damage Model for Wind Turbine Applications," Energies, MDPI, vol. 4(12), pages 1-13, December.
    2. Marino, Enzo & Giusti, Alessandro & Manuel, Lance, 2017. "Offshore wind turbine fatigue loads: The influence of alternative wave modeling for different turbulent and mean winds," Renewable Energy, Elsevier, vol. 102(PA), pages 157-169.
    3. Arenas-López, J. Pablo & Badaoui, Mohamed, 2020. "Stochastic modelling of wind speeds based on turbulence intensity," Renewable Energy, Elsevier, vol. 155(C), pages 10-22.
    4. Hesam Mirzaei Rafsanjani & John Dalsgaard Sørensen & Søren Fæster & Asger Sturlason, 2017. "Fatigue Reliability Analysis of Wind Turbine Cast Components," Energies, MDPI, vol. 10(4), pages 1-14, April.
    5. Hesam Mirzaei Rafsanjani & John Dalsgaard Sørensen, 2015. "Reliability Analysis of Fatigue Failure of Cast Components for Wind Turbines," Energies, MDPI, vol. 8(4), pages 1-16, April.
    6. Kim, Dae-Young & Kim, Yeon-Hee & Kim, Bum-Suk, 2021. "Changes in wind turbine power characteristics and annual energy production due to atmospheric stability, turbulence intensity, and wind shear," Energy, Elsevier, vol. 214(C).
    7. Yang, Yang & Bashir, Musa & Michailides, Constantine & Li, Chun & Wang, Jin, 2020. "Development and application of an aero-hydro-servo-elastic coupling framework for analysis of floating offshore wind turbines," Renewable Energy, Elsevier, vol. 161(C), pages 606-625.
    8. John D. Sørensen & Henrik S. Toft, 2010. "Probabilistic Design of Wind Turbines," Energies, MDPI, vol. 3(2), pages 1-17, February.
    9. Sang Lee & Matthew Churchfield & Frederick Driscoll & Senu Sirnivas & Jason Jonkman & Patrick Moriarty & Bjόrn Skaare & Finn Gunnar Nielsen & Erik Byklum, 2018. "Load Estimation of Offshore Wind Turbines," Energies, MDPI, vol. 11(7), pages 1-15, July.
    10. Wang, Shuaishuai & Moan, Torgeir & Jiang, Zhiyu, 2022. "Influence of variability and uncertainty of wind and waves on fatigue damage of a floating wind turbine drivetrain," Renewable Energy, Elsevier, vol. 181(C), pages 870-897.
    11. Ren, Guorui & Liu, Jinfu & Wan, Jie & Li, Fei & Guo, Yufeng & Yu, Daren, 2018. "The analysis of turbulence intensity based on wind speed data in onshore wind farms," Renewable Energy, Elsevier, vol. 123(C), pages 756-766.
    12. Toft, Henrik Stensgaard & Svenningsen, Lasse & Sørensen, John Dalsgaard & Moser, Wolfgang & Thøgersen, Morten Lybech, 2016. "Uncertainty in wind climate parameters and their influence on wind turbine fatigue loads," Renewable Energy, Elsevier, vol. 90(C), pages 352-361.
    13. Carta, J.A. & Ramírez, P. & Velázquez, S., 2009. "A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 933-955, June.
    14. Ding, Fangfang & Tian, Zhigang & Zhao, Fuqiong & Xu, Hao, 2018. "An integrated approach for wind turbine gearbox fatigue life prediction considering instantaneously varying load conditions," Renewable Energy, Elsevier, vol. 129(PA), pages 260-270.
    15. KC, Anup & Whale, Jonathan & Evans, Samuel P. & Clausen, Philip D., 2020. "An investigation of the impact of wind speed and turbulence on small wind turbine operation and fatigue loads," Renewable Energy, Elsevier, vol. 146(C), pages 87-98.
    16. Liu, Xiong & Lu, Cheng & Liang, Shi & Godbole, Ajit & Chen, Yan, 2017. "Vibration-induced aerodynamic loads on large horizontal axis wind turbine blades," Applied Energy, Elsevier, vol. 185(P2), pages 1109-1119.
    17. Lorenzo Alessi & José A. F. O. Correia & Nicholas Fantuzzi, 2019. "Initial Design Phase and Tender Designs of a Jacket Structure Converted into a Retrofitted Offshore Wind Turbine," Energies, MDPI, vol. 12(4), pages 1-28, February.
    18. Yao Li & Caichao Zhu & Xu Chen & Jianjun Tan, 2020. "Fatigue Reliability Analysis of Wind Turbine Drivetrain Considering Strength Degradation and Load Sharing Using Survival Signature and FTA," Energies, MDPI, vol. 13(8), pages 1-21, April.
    19. Orlando, Andrea & Pagnini, Luisa & Repetto, Maria Pia, 2021. "Structural response and fatigue assessment of a small vertical axis wind turbine under stationary and non-stationary excitation," Renewable Energy, Elsevier, vol. 170(C), pages 251-266.
    20. Kong, C. & Bang, J. & Sugiyama, Y., 2005. "Structural investigation of composite wind turbine blade considering various load cases and fatigue life," Energy, Elsevier, vol. 30(11), pages 2101-2114.
    21. Dong, Wenbin & Moan, Torgeir & Gao, Zhen, 2012. "Fatigue reliability analysis of the jacket support structure for offshore wind turbine considering the effect of corrosion and inspection," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 11-27.
    22. Wenbin Dong & Yihan Xing & Torgeir Moan, 2012. "Time Domain Modeling and Analysis of Dynamic Gear Contact Force in a Wind Turbine Gearbox with Respect to Fatigue Assessment," Energies, MDPI, vol. 5(11), pages 1-22, November.
    23. Velarde, Joey & Kramhøft, Claus & Sørensen, John Dalsgaard, 2019. "Global sensitivity analysis of offshore wind turbine foundation fatigue loads," Renewable Energy, Elsevier, vol. 140(C), pages 177-189.
    24. Yang, Hezhen & Zhu, Yun & Lu, Qijin & Zhang, Jun, 2015. "Dynamic reliability based design optimization of the tripod sub-structure of offshore wind turbines," Renewable Energy, Elsevier, vol. 78(C), pages 16-25.
    25. Artur Bejger & Ewelina Frank & Przemysław Bartoszko, 2021. "Failure Analysis of Wind Turbine Planetary Gear," Energies, MDPI, vol. 14(20), pages 1-15, October.
    26. Ren, Zhengru & Verma, Amrit Shankar & Li, Ye & Teuwen, Julie J.E. & Jiang, Zhiyu, 2021. "Offshore wind turbine operations and maintenance: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shiyuan E & Yanzhong Wang & Bin Xie & Fengxia Lu, 2023. "A Reliability-Based Robust Design Optimization Method for Rolling Bearing Fatigue under Cyclic Load Spectrum," Mathematics, MDPI, vol. 11(13), pages 1-16, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhiyu Jiang & Weifei Hu & Wenbin Dong & Zhen Gao & Zhengru Ren, 2017. "Structural Reliability Analysis of Wind Turbines: A Review," Energies, MDPI, vol. 10(12), pages 1-25, December.
    2. Okpokparoro, Salem & Sriramula, Srinivas, 2021. "Uncertainty modeling in reliability analysis of floating wind turbine support structures," Renewable Energy, Elsevier, vol. 165(P1), pages 88-108.
    3. Chen, Chao & Duffour, Philippe & Fromme, Paul & Hua, Xugang, 2021. "Numerically efficient fatigue life prediction of offshore wind turbines using aerodynamic decoupling," Renewable Energy, Elsevier, vol. 178(C), pages 1421-1434.
    4. Ramezani, Mahyar & Choe, Do-Eun & Heydarpour, Khashayar & Koo, Bonjun, 2023. "Uncertainty models for the structural design of floating offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    5. Liang Lu & Minyan Zhu & Haijun Wu & Jianzhong Wu, 2022. "A Review and Case Analysis on Biaxial Synchronous Loading Technology and Fast Moment-Matching Methods for Fatigue Tests of Wind Turbine Blades," Energies, MDPI, vol. 15(13), pages 1-34, July.
    6. Leimeister, Mareike & Kolios, Athanasios, 2018. "A review of reliability-based methods for risk analysis and their application in the offshore wind industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1065-1076.
    7. Pérez Albornoz, C. & Escalante Soberanis, M.A. & Ramírez Rivera, V. & Rivero, M., 2022. "Review of atmospheric stability estimations for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    8. Adedipe, Tosin & Shafiee, Mahmood & Zio, Enrico, 2020. "Bayesian Network Modelling for the Wind Energy Industry: An Overview," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    9. Lu, Liang & Wu, Haijun & Wu, Jianzhong, 2021. "A case study for the optimization of moment-matching in wind turbine blade fatigue tests with a resonant type exciting approach," Renewable Energy, Elsevier, vol. 174(C), pages 769-785.
    10. Wang, L. & Kolios, A. & Liu, X. & Venetsanos, D. & Rui, C., 2022. "Reliability of offshore wind turbine support structures: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    11. Christy Pérez & Michel Rivero & Mauricio Escalante & Victor Ramirez & Damien Guilbert, 2023. "Influence of Atmospheric Stability on Wind Turbine Energy Production: A Case Study of the Coastal Region of Yucatan," Energies, MDPI, vol. 16(10), pages 1-20, May.
    12. Ju, Shen-Haw & Su, Feng-Chien & Ke, Yi-Pei & Xie, Min-Hsuan, 2019. "Fatigue design of offshore wind turbine jacket-type structures using a parallel scheme," Renewable Energy, Elsevier, vol. 136(C), pages 69-78.
    13. Thapa, Mishal & Missoum, Samy, 2022. "Uncertainty quantification and global sensitivity analysis of composite wind turbine blades," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    14. Shittu, Abdulhakim Adeoye & Mehmanparast, Ali & Hart, Phil & Kolios, Athanasios, 2021. "Comparative study between S-N and fracture mechanics approach on reliability assessment of offshore wind turbine jacket foundations," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    15. W. Dheelibun Remigius & Anand Natarajan, 2022. "A review of wind turbine drivetrain loads and load effects for fixed and floating wind turbines," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(1), January.
    16. Carta, José A. & Díaz, Santiago & Castañeda, Alberto, 2020. "A global sensitivity analysis method applied to wind farm power output estimation models," Applied Energy, Elsevier, vol. 280(C).
    17. He, J.Y. & Chan, P.W. & Li, Q.S. & Lee, C.W., 2022. "Characterizing coastal wind energy resources based on sodar and microwave radiometer observations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    18. Chen, Yisu & Wu, Di & Yu, Yuguo & Gao, Wei, 2021. "Do cyclone impacts really matter for the long-term performance of an offshore wind turbine?," Renewable Energy, Elsevier, vol. 178(C), pages 184-201.
    19. Asadi, Meysam & Pourhossein, Kazem, 2021. "Wind farm site selection considering turbulence intensity," Energy, Elsevier, vol. 236(C).
    20. Häfele, Jan & Hübler, Clemens & Gebhardt, Cristian Guillermo & Rolfes, Raimund, 2018. "A comprehensive fatigue load set reduction study for offshore wind turbines with jacket substructures," Renewable Energy, Elsevier, vol. 118(C), pages 99-112.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:200:y:2022:i:c:p:724-742. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.