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A fundamental coupling methodology for modeling near-field and far-field wave effects of floating structures and wave energy devices

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  • Stratigaki, Vasiliki
  • Troch, Peter
  • Forehand, David

Abstract

This research focuses on the numerical modelling of wave fields around (oscillating) structures such as wave energy converters (WECs), to study both near and far field WEC effects. As a result of the interaction between oscillating WECs and the incident wave field, additional wave fields are generated: the radiated and the diffracted wave field around each WEC. These additional wave fields, together with the incident wave field, make up the perturbed wave field. Several numerical methods are employed to analyse these wave fields around WECs. For example, for investigating wave-structure (wave-WEC) interactions, wave energy absorption and near field effects, the commonly used and most suitable models are based on Boundary Element Methods for solving the potential flow formulation, or models based on the Navier-Stokes equations. These models are here referred to as ‘wave-structure interaction solvers’. On the other hand, for investigating far field effects of WEC farms in large areas, wave propagation models are most suitable and commonly employed. However, all these models suffer from a common problem; they cannot be used to model simultaneously both near and far field effects due to limitations.

Suggested Citation

  • Stratigaki, Vasiliki & Troch, Peter & Forehand, David, 2019. "A fundamental coupling methodology for modeling near-field and far-field wave effects of floating structures and wave energy devices," Renewable Energy, Elsevier, vol. 143(C), pages 1608-1627.
    • Handle: RePEc:eee:renene:v:143:y:2019:i:c:p:1608-1627
    DOI: 10.1016/j.renene.2019.05.046
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    References listed on IDEAS

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    1. 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.
    2. Brecht Devolder & Vasiliki Stratigaki & Peter Troch & Pieter Rauwoens, 2018. "CFD Simulations of Floating Point Absorber Wave Energy Converter Arrays Subjected to Regular Waves," Energies, MDPI, vol. 11(3), pages 1-23, March.
    3. Luczko, Ewelina & Robertson, Bryson & Bailey, Helen & Hiles, Clayton & Buckham, Bradley, 2018. "Representing non-linear wave energy converters in coastal wave models," Renewable Energy, Elsevier, vol. 118(C), pages 376-385.
    4. Babarit, A., 2013. "On the park effect in arrays of oscillating wave energy converters," Renewable Energy, Elsevier, vol. 58(C), pages 68-78.
    5. Chang, G. & Ruehl, K. & Jones, C.A. & Roberts, J. & Chartrand, C., 2016. "Numerical modeling of the effects of wave energy converter characteristics on nearshore wave conditions," Renewable Energy, Elsevier, vol. 89(C), pages 636-648.
    6. Li, Ye & Yu, Yi-Hsiang, 2012. "A synthesis of numerical methods for modeling wave energy converter-point absorbers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4352-4364.
    7. Beels, Charlotte & Troch, Peter & De Visch, Kenneth & Kofoed, Jens Peter & De Backer, Griet, 2010. "Application of the time-dependent mild-slope equations for the simulation of wake effects in the lee of a farm of Wave Dragon wave energy converters," Renewable Energy, Elsevier, vol. 35(8), pages 1644-1661.
    8. Gael Verao Fernandez & Philip Balitsky & Vasiliki Stratigaki & Peter Troch, 2018. "Coupling Methodology for Studying the Far Field Effects of Wave Energy Converter Arrays over a Varying Bathymetry," Energies, MDPI, vol. 11(11), pages 1-24, October.
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    Cited by:

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    2. Rijnsdorp, Dirk P. & Hansen, Jeff E. & Lowe, Ryan J., 2020. "Understanding coastal impacts by nearshore wave farms using a phase-resolving wave model," Renewable Energy, Elsevier, vol. 150(C), pages 637-648.
    3. J. Cameron McNatt & Aaron Porter & Christopher Chartrand & Jesse Roberts, 2020. "The Performance of a Spectral Wave Model at Predicting Wave Farm Impacts," Energies, MDPI, vol. 13(21), pages 1-17, November.

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