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Influence of blade deformation and yawed inflow on performance of a horizontal axis tidal stream turbine

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  • Park, Sewan
  • Park, Sunho
  • Rhee, Shin Hyung

Abstract

For a better design of tidal stream turbines operated in off-design conditions, analyses considering the effects of blade deformation and yawed inflow conditions are necessary. The flow load causes deformation of the blade, and the deformation affects the turbine performance in return. Also, a yawed inflow influences the performance of the turbine. As a validation study, a computational fluid dynamics (CFD) simulation was carried out to predict the performance of a horizontal axis tidal stream turbine (HATST) with rigid blades. The numerical uncertainty for the turbine performance with blade deformation and a yawed inflow was evaluated using the concept of the grid convergence index (GCI). A fluid–structure interaction (FSI) analysis was carried out to estimate the performance of a turbine with flexible composite blades, with the results then compared to those of an analysis with rigid blades. The influence of yawed inflow conditions on the turbine performance was investigated and found to be important in relation to power predictions in the design stages.

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  • Park, Sewan & Park, Sunho & Rhee, Shin Hyung, 2016. "Influence of blade deformation and yawed inflow on performance of a horizontal axis tidal stream turbine," Renewable Energy, Elsevier, vol. 92(C), pages 321-332.
    • Handle: RePEc:eee:renene:v:92:y:2016:i:c:p:321-332
    DOI: 10.1016/j.renene.2016.02.025
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    References listed on IDEAS

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    1. Lee, Ju Hyun & Park, Sunho & Kim, Dong Hwan & Rhee, Shin Hyung & Kim, Moon-Chan, 2012. "Computational methods for performance analysis of horizontal axis tidal stream turbines," Applied Energy, Elsevier, vol. 98(C), pages 512-523.
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    3. Bahaj, A.S. & Molland, A.F. & Chaplin, J.R. & Batten, W.M.J., 2007. "Power and thrust measurements of marine current turbines under various hydrodynamic flow conditions in a cavitation tunnel and a towing tank," Renewable Energy, Elsevier, vol. 32(3), pages 407-426.
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    Cited by:

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    3. Zhang, Mengjie & Liu, Taotao & Huang, Biao & Wu, Qin & Wang, Guoyu, 2020. "Hydrodynamic characteristics and flow structures of pitching hydrofoil with special emphasis on the added force effect," Renewable Energy, Elsevier, vol. 157(C), pages 560-573.
    4. Zhang, Mengjie & Wu, Qin & Wang, Guoyu & Huang, Biao & Fu, Xiaoying & Chen, Jie, 2020. "The flow regime and hydrodynamic performance for a pitching hydrofoil," Renewable Energy, Elsevier, vol. 150(C), pages 412-427.
    5. El Fajri, Oumnia & Bowman, Joshua & Bhushan, Shanti & Thompson, David & O'Doherty, Tim, 2022. "Numerical study of the effect of tip-speed ratio on hydrokinetic turbine wake recovery," Renewable Energy, Elsevier, vol. 182(C), pages 725-750.
    6. Modali, Pranav K. & Vinod, Ashwin & Banerjee, Arindam, 2021. "Towards a better understanding of yawed turbine wake for efficient wake steering in tidal arrays," Renewable Energy, Elsevier, vol. 177(C), pages 482-494.
    7. Jijian Lian & Wenjiao Zhang & Qizhong Guo & Fang Liu, 2016. "Generation Mechanism and Prediction Model for Low Frequency Noise Induced by Energy Dissipating Submerged Jets during Flood Discharge from a High Dam," IJERPH, MDPI, vol. 13(6), pages 1-24, June.
    8. Gabl, Roman & Innerhofer, Daniel & Achleitner, Stefan & Righetti, Maurizio & Aufleger, Markus, 2018. "Evaluation criteria for velocity distributions in front of bulb hydro turbines," Renewable Energy, Elsevier, vol. 121(C), pages 745-756.

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