Ocean Systems Engineering

  • 제5권2호
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  • Pages.125-138
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  • 2015
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  • 2093-6702(pISSN)
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  • 2093-677X(eISSN)
테크노프레스 (Techno-Press)
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Performance prediction of horizontal axis marine current turbines

  • Bal, Sakir (Department of Naval Architecture and Marine Engineering, Istanbul Technical University) ;
  • Atlar, Mehmet (School of Marine Science and Technology, Newcastle University) ;
  • Usar, Deniz (Department of Naval Architecture and Marine Engineering, Istanbul Technical University)
  • 투고 : 2015.04.06
  • 심사 : 2015.06.08
  • 발행 : 2015.06.25
⟨ 이전 논문 다음 논문 ⟩

초록

In this study, hydrodynamic performance of a 400 mm diameter horizontal axis marine current turbine model was tested in a cavitation tunnel with 1.21 m x 0.8 m cross-section for over a range of tip speed ratios. Torque and thrust data, as well as cavitation visualizations, for certain operating conditions were acquired. Experimental results indicated that the turbine can be exposed to significant amount of sheet and cloud cavitation over the blades along with vortex cavitation at the blade tips. Inception and distribution of cavitation along the blades of the model turbine were then modelled numerically for design operating conditions using a vortex lattice method. The method was also applied to a turbine tested previously and obtained results were compared with the data available. The comparison between simulation results and experimental data showed a slight difference in terms of span-wise extent of the cavitation region. The cloud and tip vortex cavity observed in experiments cannot be modelled due to the fact that the VLM lacks the ability to predict such types of cavitation. Notwithstanding, the use of such prediction methods can provide a reasonably accurate approach to estimate, therefore take the hydrodynamic effects of cavitation into account in design and analysis of marine current turbines.

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참고문헌

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피인용 문헌

  1. An enhanced and validated performance and cavitation prediction model for horizontal axis tidal turbines vol.19, 2017, https://doi.org/10.1016/j.ijome.2017.07.003
  2. Optimization of a horizontal axis marine current turbine via surrogate models vol.9, pp.2, 2019, https://doi.org/10.12989/ose.2019.9.2.111
  3. AI based control theory for interaction of ocean system vol.10, pp.2, 2020, https://doi.org/10.12989/ose.2020.10.2.227