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Reliability analysis for hydrokinetic turbine blades

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  • Hu, Zhen
  • Du, Xiaoping

Abstract

Reliability is an important element in the performance of hydrokinetic turbines. It is also a driving factor of the system lifetime cost. In this paper, we perform time-dependent reliability analysis for the blades of a river-based horizontal-axis hydrokinetic turbine. Based on the stochastic representation of the monthly river velocity and material strength, a limit-state function is established with the classical blade element momentum method. In the limit-state function, a failure is defined as the event when the flapwise bending moment exceeds the allowable moment that corresponds to the ultimate strength of the material. The upcrossing rate method is employed to calculate the time-dependent reliability of the hydrokinetic turbine blade over its design life period. The results indicate that setting a proper cut-out river velocity is important for the reliability of the hydrokinetic turbine blade.

Suggested Citation

  • Hu, Zhen & Du, Xiaoping, 2012. "Reliability analysis for hydrokinetic turbine blades," Renewable Energy, Elsevier, vol. 48(C), pages 251-262.
    • Handle: RePEc:eee:renene:v:48:y:2012:i:c:p:251-262
    DOI: 10.1016/j.renene.2012.05.002
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    Cited by:

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    3. Yuce, M. Ishak & Muratoglu, Abdullah, 2015. "Hydrokinetic energy conversion systems: A technology status review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 72-82.
    4. Ouyang, Linhan & Che, Yushuai & Park, Chanseok & Chen, Yuejian, 2024. "A novel active learning Gaussian process modeling-based method for time-dependent reliability analysis considering mixed variables," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    5. Hawchar, Lara & El Soueidy, Charbel-Pierre & Schoefs, Franck, 2017. "Principal component analysis and polynomial chaos expansion for time-variant reliability problems," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 406-416.
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    8. Liu, Yushan & Li, Luyi & Zhao, Sihan & Song, Shufang, 2021. "A global surrogate model technique based on principal component analysis and Kriging for uncertainty propagation of dynamic systems," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    9. Davila-Vilchis, J.M. & Mishra, R.S., 2014. "Performance of a hydrokinetic energy system using an axial-flux permanent magnet generator," Energy, Elsevier, vol. 65(C), pages 631-638.
    10. Kumar, Dinesh & Sarkar, Shibayan, 2016. "A review on the technology, performance, design optimization, reliability, techno-economics and environmental impacts of hydrokinetic energy conversion systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 796-813.
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