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Reliability Assessment of Water Hydraulic-Drive Wave-Energy Converters

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  • Hua Liu

    (Department of Military Facilities, Army Logistics University of PLA, Chongqing 401331, China)

  • Weijun Wang

    (Institution of systems engineering, Academy of Military Sciences of PLA, Beijing 100141, China)

  • Shuai Tang

    (Institution of systems engineering, Academy of Military Sciences of PLA, Beijing 100141, China)

  • Longbo Mao

    (Institution of systems engineering, Academy of Military Sciences of PLA, Beijing 100141, China)

  • Hongju Mi

    (Department of Military Facilities, Army Logistics University of PLA, Chongqing 401331, China)

  • Guoping Zhang

    (Department of Military Facilities, Army Logistics University of PLA, Chongqing 401331, China)

  • Jun Liu

    (Department of Military Facilities, Army Logistics University of PLA, Chongqing 401331, China)

Abstract

The main objective of the current paper is to determine fatigue critical details of wave-energy converters (WECs) and to evaluate their reliability. For this purpose, a new model of a water-hydraulic drive WEC is designed based on the IPS (company Interproject Service) buoy working principle, and the hydrodynamic frequency domain analysis method is carried out accordingly. A reliability assessment method, which combines the stress-number (SN) curves approach and linear damage cumulative theory, has been developed specifically for the proposed WEC. In order to obtain the stochastic wave load spectrum, 22 years of wave data of the intended deployment site (South China Sea), covering the span of 1988–2009, were analyzed, discussed and processed. A finite element analysis model is also established to calculate the maximum Von Mises stress of the fatigue critical component. The reliability indices and configuration parameters of the water hydraulic-drive WEC are obtained by applying first order reliability method, considering the uncertainty of the model parameters and the fatigue limit state. Optimization of configuration parameters is also developed based on the reliability method for the sake of approaching the expected service life. The results show that the fatigue life of the water turbine can reach the design service life of 20 years as the configuration parameters meet the specific condition. The cumulative reliability index and annual reliability index are recommended as 2.1 and 3.5, respectively.

Suggested Citation

  • Hua Liu & Weijun Wang & Shuai Tang & Longbo Mao & Hongju Mi & Guoping Zhang & Jun Liu, 2019. "Reliability Assessment of Water Hydraulic-Drive Wave-Energy Converters," Energies, MDPI, vol. 12(21), pages 1-21, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:21:p:4189-:d:282981
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    References listed on IDEAS

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    1. Besio, G. & Mentaschi, L. & Mazzino, A., 2016. "Wave energy resource assessment in the Mediterranean Sea on the basis of a 35-year hindcast," Energy, Elsevier, vol. 94(C), pages 50-63.
    2. Liang, Changwei & Zuo, Lei, 2017. "On the dynamics and design of a two-body wave energy converter," Renewable Energy, Elsevier, vol. 101(C), pages 265-274.
    3. Liu, Yan & Frangopol, Dan M., 2018. "Time-dependent reliability assessment of ship structures under progressive and shock deteriorations," Reliability Engineering and System Safety, Elsevier, vol. 173(C), pages 116-128.
    4. Chen, Xinping & Wang, Kaimin & Zhang, Zenghai & Zeng, Yindong & Zhang, Yao & O'Driscoll, Kieran, 2017. "An assessment of wind and wave climate as potential sources of renewable energy in the nearshore Shenzhen coastal zone of the South China Sea," Energy, Elsevier, vol. 134(C), pages 789-801.
    5. Zheng, Chong Wei & Li, Chong Yin, 2015. "Variation of the wave energy and significant wave height in the China Sea and adjacent waters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 381-387.
    6. Yaakob, Omar & Hashim, Farah Ellyza & Mohd Omar, Kamaludin & Md Din, Ami Hassan & Koh, Kho King, 2016. "Satellite-based wave data and wave energy resource assessment for South China Sea," Renewable Energy, Elsevier, vol. 88(C), pages 359-371.
    7. Wang, Derek D. & Sueyoshi, Toshiyuki, 2018. "Climate change mitigation targets set by global firms: Overview and implications for renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 386-398.
    8. Francesco Ferri & Simon Ambühl & Boris Fischer & Jens Peter Kofoed, 2014. "Balancing Power Output and Structural Fatigue of Wave Energy Converters by Means of Control Strategies," Energies, MDPI, vol. 7(4), pages 1-28, April.
    9. Lin, Yonggang & Bao, Jingwei & Liu, Hongwei & Li, Wei & Tu, Le & Zhang, Dahai, 2015. "Review of hydraulic transmission technologies for wave power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 194-203.
    10. Ransley, E.J. & Greaves, D.M. & Raby, A. & Simmonds, D. & Jakobsen, M.M. & Kramer, M., 2017. "RANS-VOF modelling of the Wavestar point absorber," Renewable Energy, Elsevier, vol. 109(C), pages 49-65.
    11. Wang, Liguo & Isberg, Jan & Tedeschi, Elisabetta, 2018. "Review of control strategies for wave energy conversion systems and their validation: the wave-to-wire approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 366-379.
    12. Lehmann, Marcus & Karimpour, Farid & Goudey, Clifford A. & Jacobson, Paul T. & Alam, Mohammad-Reza, 2017. "Ocean wave energy in the United States: Current status and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1300-1313.
    13. Sheng, Wanan, 2019. "Wave energy conversion and hydrodynamics modelling technologies: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 482-498.
    14. Simon Ambühl & Morten Kramer & John Dalsgaard Sørensen, 2014. "Reliability-Based Structural Optimization of Wave Energy Converters," Energies, MDPI, vol. 7(12), pages 1-23, December.
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