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Numerical and Experimental Study of the Solo Duck Wave Energy Converter

Author

Listed:
  • Jinming Wu

    (School of Mechanical Engineering, Southeast University, Nanjing 211189, Jiangsu, China)

  • Yingxue Yao

    (Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, Guangdong, China)

  • Dongke Sun

    (School of Mechanical Engineering, Southeast University, Nanjing 211189, Jiangsu, China)

  • Zhonghua Ni

    (School of Mechanical Engineering, Southeast University, Nanjing 211189, Jiangsu, China)

  • Malin Göteman

    (Department of Engineering Science, Uppsala University, 75121 Uppsala, Sweden)

Abstract

The Edinburgh Duck is one of the highly-efficient wave energy converters (WECs). Compared to the spine-connected Duck configuration, the solo Duck will be able to use the point absorber effect to enhance its power capture performance. In this paper, a 3D computational fluid dynamic (CFD) model is developed to predict the hydrodynamic performance of the solo Duck WEC in regular waveswithin a wide range ofwave steepness until the Duck capsizes. A set of experiments was designed to validate the accuracy of the CFD model. Boundary element method (BEM) simulations are also performed for comparison. CFD results agree well with experimental results and the main difference comes from the friction in the mechanical transmission system. CFD results also agree well with BEM results and differences appear at large wave steepness as a result of two hydrodynamic nonlinear factors: the nonlinear waveform and the vortex generation process. The influence of both two nonlinear factors iscombined to be quantitatively represented by the drag torque coefficient.The vortex generation process is found to cause a rapid drop of the pressure force due to the vortexes taking away the kinetic energy from the fluid.

Suggested Citation

  • Jinming Wu & Yingxue Yao & Dongke Sun & Zhonghua Ni & Malin Göteman, 2019. "Numerical and Experimental Study of the Solo Duck Wave Energy Converter," Energies, MDPI, vol. 12(10), pages 1-19, May.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:10:p:1941-:d:232966
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    References listed on IDEAS

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    1. Wood, D.H. & Okulov, V.L. & Bhattacharjee, D., 2016. "Direct calculation of wind turbine tip loss," Renewable Energy, Elsevier, vol. 95(C), pages 269-276.
    2. López, I. & Pereiras, B. & Castro, F. & Iglesias, G., 2014. "Optimisation of turbine-induced damping for an OWC wave energy converter using a RANS–VOF numerical model," Applied Energy, Elsevier, vol. 127(C), pages 105-114.
    3. Gomes, R.P.F. & Henriques, J.C.C. & Gato, L.M.C. & Falcão, A.F.O., 2016. "Wave power extraction of a heaving floating oscillating water column in a wave channel," Renewable Energy, Elsevier, vol. 99(C), pages 1262-1275.
    4. Agamloh, Emmanuel B. & Wallace, Alan K. & von Jouanne, Annette, 2008. "Application of fluid–structure interaction simulation of an ocean wave energy extraction device," Renewable Energy, Elsevier, vol. 33(4), pages 748-757.
    5. Hong, Yue & Waters, Rafael & Boström, Cecilia & Eriksson, Mikael & Engström, Jens & Leijon, Mats, 2014. "Review on electrical control strategies for wave energy converting systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 329-342.
    6. Penalba, Markel & Giorgi, Giussepe & Ringwood, John V., 2017. "Mathematical modelling of wave energy converters: A review of nonlinear approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 1188-1207.
    7. Windt, Christian & Davidson, Josh & Ringwood, John V., 2018. "High-fidelity numerical modelling of ocean wave energy systems: A review of computational fluid dynamics-based numerical wave tanks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 610-630.
    8. Jinming Wu & Yingxue Yao & Wei Li & Liang Zhou & Malin Göteman, 2017. "Optimizing the Performance of Solo Duck Wave Energy Converter in Tide," Energies, MDPI, vol. 10(3), pages 1-19, February.
    9. Gunn, Kester & Stock-Williams, Clym, 2012. "Quantifying the global wave power resource," Renewable Energy, Elsevier, vol. 44(C), pages 296-304.
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    Cited by:

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