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Time domain prediction of power absorption from ocean waves with wave energy converter arrays

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  • Kara, Fuat

Abstract

A three-dimensional transient numerical code ITU-WAVE based on potential theory and Neumann-Kelvin approximation is extended to take into account wave interaction in an array system using two and four truncated vertical cylinder arrays. ITU-WAVE panel code is validated against analytical array results before applied to power absorption from ocean waves for different array configurations. The effects of the separation distances between array system and heading angles on energy absorption in both sway and heave modes are studied by the support of numerical simulations which show sway mode has wider bandwidth than heave mode for energy absorption. It is also shown that wave interactions are stronger when the array systems are close and these wave interactions are reduced significantly and shifted to larger times when the separation distance is increased. The wave interaction is much stronger at the same separation distance and heading angle in heave mode than in sway mode. Numerical experience also shows that more power is absorbed in sway mode than in heave mode in both two and four array systems at any separation distances and heading angles when the bodies in array system have the same displacement in both sway and heave modes.

Suggested Citation

  • Kara, Fuat, 2016. "Time domain prediction of power absorption from ocean waves with wave energy converter arrays," Renewable Energy, Elsevier, vol. 92(C), pages 30-46.
  • Handle: RePEc:eee:renene:v:92:y:2016:i:c:p:30-46
    DOI: 10.1016/j.renene.2016.01.088
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    References listed on IDEAS

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    1. Stansby, P. & Carpintero Moreno, E. & Stallard, T. & Maggi, A., 2015. "Three-float broad-band resonant line absorber with surge for wave energy conversion," Renewable Energy, Elsevier, vol. 78(C), pages 132-140.
    2. Babarit, A., 2013. "On the park effect in arrays of oscillating wave energy converters," Renewable Energy, Elsevier, vol. 58(C), pages 68-78.
    3. Kara, Fuat, 2010. "Time domain prediction of power absorption from ocean waves with latching control," Renewable Energy, Elsevier, vol. 35(2), pages 423-434.
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    Citations

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    Cited by:

    1. Kara, Fuat, 2022. "Effects of a vertical wall on wave power absorption with wave energy converters arrays," Renewable Energy, Elsevier, vol. 196(C), pages 812-823.
    2. Chen, Wenchuang & Huang, Zhenhai & Zhang, Yongliang & Wang, Liguo & Huang, Luofeng, 2024. "Hydrodynamic performance of a three-unit heave wave energy converter array under different arrangement," Renewable Energy, Elsevier, vol. 221(C).
    3. Bonovas, Markos I. & Anagnostopoulos, Ioannis S., 2020. "Modelling of operation and optimum design of a wave power take-off system with energy storage," Renewable Energy, Elsevier, vol. 147(P1), pages 502-514.
    4. Arzaghi, Ehsan & Abaei, Mohammad Mahdi & Abbassi, Rouzbeh & O'Reilly, Malgorzata & Garaniya, Vikram & Penesis, Irene, 2020. "A Markovian approach to power generation capacity assessment of floating wave energy converters," Renewable Energy, Elsevier, vol. 146(C), pages 2736-2743.
    5. Xiaohui Zeng & Qi Wang & Yuanshun Kang & Fajun Yu, 2022. "A Novel Type of Wave Energy Converter with Five Degrees of Freedom and Preliminary Investigations on Power-Generating Capacity," Energies, MDPI, vol. 15(9), pages 1-20, April.
    6. 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.
    7. Cheng, Yong & Xi, Chen & Dai, Saishuai & Ji, Chunyan & Cocard, Margot, 2021. "Wave energy extraction for an array of dual-oscillating wave surge converter with different layouts," Applied Energy, Elsevier, vol. 292(C).
    8. Wu, Jinming & Yao, Yingxue & Zhou, Liang & Chen, Ni & Yu, Huifeng & Li, Wei & Göteman, Malin, 2017. "Performance analysis of solo Duck wave energy converter arrays under motion constraints," Energy, Elsevier, vol. 139(C), pages 155-169.
    9. Chenhua Ni & Xiandong Ma, 2018. "Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs," Energies, MDPI, vol. 11(8), pages 1-18, August.

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