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Wave energy trends over the Bay of Biscay and the consequences for wave energy converters

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  • Ulazia, Alain
  • Penalba, Markel
  • Ibarra-Berastegui, Gabriel
  • Ringwood, John
  • Saénz, Jon

Abstract

This is one of the pioneer and preliminary attempt to study the influence of wave energy trends on the absorbed power of wave energy converters. For that purpose, the reanalysis of the past century ERA20 has been calibrated via quantile-matching against the reanalysis ERA-Interim in their intersection period (1979–2010). The validation against four buoys in the Bay of Biscay is presented in this paper, showing a better agreement of ERA-Interim-WAM model when compared to the original ERA20. In addition, calibrated ERA20 shows a significant error reduction compared to the original ERA20. Hence, calibrated ERA20 presents an increment of the wave energy resource, more than 1 kW/m per decade, in the area of study and a general increment of the wave height and wave period throughout the analyzed decades. Finally, using the calibrated series at a given gridpoint in the bay, power absorption of a generic wave energy converter (WEC) is examined, combining the power matrix of the WEC and the two-variable (wave height and period) probability density functions (PDF) of the five do-decades of the past century. Results show important variations of the PDF, which results in significant differences, up to a 15% increase between two do-decades, in the annual mean power production.

Suggested Citation

  • Ulazia, Alain & Penalba, Markel & Ibarra-Berastegui, Gabriel & Ringwood, John & Saénz, Jon, 2017. "Wave energy trends over the Bay of Biscay and the consequences for wave energy converters," Energy, Elsevier, vol. 141(C), pages 624-634.
  • Handle: RePEc:eee:energy:v:141:y:2017:i:c:p:624-634
    DOI: 10.1016/j.energy.2017.09.099
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    References listed on IDEAS

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    Cited by:

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    6. Ulazia, Alain & Penalba, Markel & Ibarra-Berastegui, Gabriel & Ringwood, John & Sáenz, Jon, 2019. "Reduction of the capture width of wave energy converters due to long-term seasonal wave energy trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
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    13. Ribeiro, A.S. & deCastro, M. & Costoya, X. & Rusu, Liliana & Dias, J.M. & Gomez-Gesteira, M., 2021. "A Delphi method to classify wave energy resource for the 21st century: Application to the NW Iberian Peninsula," Energy, Elsevier, vol. 235(C).
    14. Pourali, Mahmoud & Kavianpour, Mohamad Reza & Kamranzad, Bahareh & Alizadeh, Mohamad Javad, 2023. "Future variability of wave energy in the Gulf of Oman using a high resolution CMIP6 climate model," Energy, Elsevier, vol. 262(PB).
    15. Ulazia, Alain & Saenz-Aguirre, Aitor & Ibarra-Berastegui, Gabriel & Sáenz, Jon & Carreno-Madinabeitia, Sheila & Esnaola, Ganix, 2023. "Performance variations of wave energy converters due to global long-term wave period change (1900–2010)," Energy, Elsevier, vol. 268(C).
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    18. Penalba, Markel & Ulazia, Alain & Ibarra-Berastegui, Gabriel & Ringwood, John & Sáenz, Jon, 2018. "Wave energy resource variation off the west coast of Ireland and its impact on realistic wave energy converters’ power absorption," Applied Energy, Elsevier, vol. 224(C), pages 205-219.
    19. Penalba, Markel & Aizpurua, Jose Ignacio & Martinez-Perurena, Ander & Iglesias, Gregorio, 2022. "A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
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