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Structural response and fatigue assessment of a small vertical axis wind turbine under stationary and non-stationary excitation

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  • Orlando, Andrea
  • Pagnini, Luisa
  • Repetto, Maria Pia

Abstract

The paper discusses the response and fatigue damage of the supporting tower of a small vertical axis wind turbine subject to stationary and non-stationary excitation due to wind, turbine rotation, emergency stop and start. Using in-field measurements and the Hot Spot Stress Approach, the study analyses a number of aspects that are usually disregarded in design verifications. The results highlight the importance of the detail modeling, the fundamental role played by the non-stationary conditions and the errors committed when using conventional models of the load. The emphasis of this paper is put on two main aspects: the use of full scale data and the detection of isolated events of non-stationary vibrations, the effects of which can be disregarded when using stress time-histories of 10 min - 1 h.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:170:y:2021:i:c:p:251-266
    DOI: 10.1016/j.renene.2021.01.123
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    Citations

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    Cited by:

    1. 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.
    2. Zhu, Yongchao & Zhu, Caichao & Tan, Jianjun & Tan, Yong & Rao, Lei, 2022. "Anomaly detection and condition monitoring of wind turbine gearbox based on LSTM-FS and transfer learning," Renewable Energy, Elsevier, vol. 189(C), pages 90-103.
    3. Pagnini, Luisa & Bracco, Stefano & Delfino, Federico & de-Simón-Martín, Miguel, 2024. "Levelized cost of electricity in renewable energy communities: Uncertainty propagation analysis," Applied Energy, Elsevier, vol. 366(C).
    4. Sofia Agostinelli & Fabrizio Cumo & Meysam Majidi Nezhad & Giuseppe Orsini & Giuseppe Piras, 2022. "Renewable Energy System Controlled by Open-Source Tools and Digital Twin Model: Zero Energy Port Area in Italy," Energies, MDPI, vol. 15(5), pages 1-24, March.
    5. Zhu, Yongchao & Zhu, Caichao & Tan, Jianjun & Wang, Yili & Tao, Jianquan, 2022. "Operational state assessment of wind turbine gearbox based on long short-term memory networks and fuzzy synthesis," Renewable Energy, Elsevier, vol. 181(C), pages 1167-1176.

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