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<p>This study presents an integrated evaluation of the TSUSUCA DOLPHIN, a novel bio-inspired floating wave energy platform designed for low-to-moderate wave power regions. Numerical simulations using ANSYS AQWA were conducted to assess the platform’s hydrodynamic response and energy-harvesting performance under regular and irregular wave conditions. Results confirmed stable, non-resonant motion, with natural periods of 11.34&#xa0;s (heave) and 7.92&#xa0;s (pitch), and demonstrated effective energy capture through heave and pitch motions, achieving hydropower efficiencies up to 33.58%. Scaled experimental tests with a Linear Motion Electricity Generator (LMEG) PTO achieved peak efficiencies of 30.07% in regular waves and 32.04% in irregular waves, qualitatively validating the simulation trends. To assess long-term reliability, a Failure Mode and Effects Analysis (FMEA) was integrated with Monte Carlo simulations using Weibull-distributed component data to estimate failure probabilities and mean time to maintenance (MTTM). Among the four PTO mechanisms evaluated, LMEG, slider-crank, scotch yoke, and toggle mechanism, the slider crank demonstrated the highest reliability (MTTM 4461–7098&#xa0;h) with gradual failure progression, making it most suitable for maintenance-constrained offshore environments. The Scotch Yoke exhibited moderate reliability (MTTM 4015–7025&#xa0;h), while the Toggle Mechanism, though less reliable (MTTM 4333–6203&#xa0;h), provided motion amplification, a functional advantage for hydraulic systems in low-amplitude wave conditions. The novelty of this work lies in integrating probabilistic reliability modeling with hydrodynamic and experimental analyses to guide PTO selection and identify design trade-offs between efficiency and service life. Limitations include the conceptual nature of certain PTO designs and the absence of full-scale ocean trials, which will be addressed in future studies through field validation and direct quantitative comparisons, such as overlaid RAO plots and efficiency error analyses.</p>

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Risk analysis and functional reliability of TSUSUCA DOLPHIN

  • 期刊论文

  • 发表日期：

    2025年10月24日

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  • Basanagoda I. Patil,
  • Chandrasekaran Srinivasan

摘要

This study presents an integrated evaluation of the TSUSUCA DOLPHIN, a novel bio-inspired floating wave energy platform designed for low-to-moderate wave power regions. Numerical simulations using ANSYS AQWA were conducted to assess the platform’s hydrodynamic response and energy-harvesting performance under regular and irregular wave conditions. Results confirmed stable, non-resonant motion, with natural periods of 11.34 s (heave) and 7.92 s (pitch), and demonstrated effective energy capture through heave and pitch motions, achieving hydropower efficiencies up to 33.58%. Scaled experimental tests with a Linear Motion Electricity Generator (LMEG) PTO achieved peak efficiencies of 30.07% in regular waves and 32.04% in irregular waves, qualitatively validating the simulation trends. To assess long-term reliability, a Failure Mode and Effects Analysis (FMEA) was integrated with Monte Carlo simulations using Weibull-distributed component data to estimate failure probabilities and mean time to maintenance (MTTM). Among the four PTO mechanisms evaluated, LMEG, slider-crank, scotch yoke, and toggle mechanism, the slider crank demonstrated the highest reliability (MTTM 4461–7098 h) with gradual failure progression, making it most suitable for maintenance-constrained offshore environments. The Scotch Yoke exhibited moderate reliability (MTTM 4015–7025 h), while the Toggle Mechanism, though less reliable (MTTM 4333–6203 h), provided motion amplification, a functional advantage for hydraulic systems in low-amplitude wave conditions. The novelty of this work lies in integrating probabilistic reliability modeling with hydrodynamic and experimental analyses to guide PTO selection and identify design trade-offs between efficiency and service life. Limitations include the conceptual nature of certain PTO designs and the absence of full-scale ocean trials, which will be addressed in future studies through field validation and direct quantitative comparisons, such as overlaid RAO plots and efficiency error analyses.