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Investigating of Helmholtz wave energy converter

Author

Listed:
  • Saadat, Y.
  • Fernandez, Nelson
  • Samimi, Alexei
  • Alam, Mohammad Reza
  • Shakeri, Mostafa
  • Ghorbani, Reza

Abstract

This study examines a new concept of wave energy conversion inspired by natural wave pools which are able to trap ocean wave energy into a basin. A novel wave energy converter that uses the Helmholtz resonance frequency is introduced. This device which is called Helmholtz wave energy converter (HWEC) amplifies the oscillation amplitude of a fluid in a basin that is connected to the sea through a narrow channel. The main focus of the current study is to understand the mechanism of wave amplification at Helmholtz resonance frequency in a basin and experimentally investigate the geometry of an ideal wave pool in a wave tank utilizing the theoretical method previously has been done on tidal Helmholtz resonance. The geometry causes amplification in oscillating fluid velocity within the channel at the Helmholtz frequency. Geometric characteristics of HWEC were experimentally studied to determine the dimensions of the basin for inducing Helmholtz resonance. A 1/25th and a 1/7th scale models were used to correlate the Helmholtz frequency with the device geometry. In addition, the effects of the device's basin length and angle of winglets at the inlet of the channel were explored. Furthermore, Particle image velocimetry (PIV) technique was used to determine the velocity fields through the channel of the 1/25th scale model. The results suggest that reducing the angle of the winglets leads to fewer higher order harmonics resulting in better performance of the device in extracting the energy of the incoming waves. It is also shown that the alignment of the axis of the device relative to the incoming waves plays an important role in the overall efficiency of the device. The results of the current study can be used to optimize the design of HWEC devices for extracting wave energy. Moreover, the results reveal that resonance in the channel results in amplification of wave height relative to incoming waves and the corresponding wave power available for absorption. Appropriate location of the power take-off (PTO) in the channel can be empirically determined using PIV data. However this work does not examine the effect of the PTO in the device's energy absorption performance.

Suggested Citation

  • Saadat, Y. & Fernandez, Nelson & Samimi, Alexei & Alam, Mohammad Reza & Shakeri, Mostafa & Ghorbani, Reza, 2016. "Investigating of Helmholtz wave energy converter," Renewable Energy, Elsevier, vol. 87(P1), pages 67-76.
    • Handle: RePEc:eee:renene:v:87:y:2016:i:p1:p:67-76
    DOI: 10.1016/j.renene.2015.09.066
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    References listed on IDEAS

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    1. Pelc, Robin & Fujita, Rod M., 2002. "Renewable energy from the ocean," Marine Policy, Elsevier, vol. 26(6), pages 471-479, November.
    2. Clément, Alain & McCullen, Pat & Falcão, António & Fiorentino, Antonio & Gardner, Fred & Hammarlund, Karin & Lemonis, George & Lewis, Tony & Nielsen, Kim & Petroncini, Simona & Pontes, M. -Teresa & Sc, 2002. "Wave energy in Europe: current status and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(5), pages 405-431, October.
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    Cited by:

    1. Zhao, Xuanlie & Zhang, Yang & Li, Mingwei & Johanning, Lars, 2020. "Hydrodynamic performance of a Comb-Type Breakwater-WEC system: An analytical study," Renewable Energy, Elsevier, vol. 159(C), pages 33-49.
    2. Zhao, Xuanlie & Zhang, Yang & Li, Mingwei & Johanning, Lars, 2021. "Experimental and analytical investigation on hydrodynamic performance of the comb-type breakwater-wave energy converter system with a flange," Renewable Energy, Elsevier, vol. 172(C), pages 392-407.
    3. Medina Rodríguez, Ayrton Alfonso & Trivedi, Kshma & Koley, Santanu & Oderiz Martinez, Itxaso & Mendoza, Edgar & Posada Vanegas, Gregorio & Silva, Rodolfo, 2023. "Improved hydrodynamic performance of an OWC device based on a Helmholtz resonator," Energy, Elsevier, vol. 273(C).
    4. 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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