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Wave resource assessment for Scottish waters using a large scale North Atlantic spectral wave model

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  • Venugopal, Vengatesan
  • Nemalidinne, Reddy

Abstract

This paper reports the methodology established in the application of a numerical wave model for hindcasting of wave conditions around the United Kingdom, in particular for Scottish waters, for the purpose of wave energy resource assessment at potential device development sites. The phase averaged MIKE 21 Spectral wave model has been adopted for this study and applied to the North Atlantic region bounded by latitudes 10° N–70° N and longitudes 10° E−75° W. Spatial and temporal wind speeds extracted from the European Centre for Medium Range Weather Forecast (ECMWF) have been utilised to drive the wave model. A rigorous calibration and validation of the model has been carried out by comparing model results with buoy measurements for different time periods and locations around Scotland. Significant wave height, peak wave period and peak wave direction obtained from the model correlated very well with measurements. Spatially varying statistical mean and maximum values of the significant wave height and wave power obtained based on a one-year wave hindcasting are in good agreement with the UK Marine Atlas values. The wave model can be used with high level of confidence for wave hindcasting and even forecasting of various wave parameters and wave power at any desired point locations or for regions. The wave model could also be employed for generating boundary conditions to small scale regional wave and tidal flow models.

Suggested Citation

  • Venugopal, Vengatesan & Nemalidinne, Reddy, 2015. "Wave resource assessment for Scottish waters using a large scale North Atlantic spectral wave model," Renewable Energy, Elsevier, vol. 76(C), pages 503-525.
    • Handle: RePEc:eee:renene:v:76:y:2015:i:c:p:503-525
    DOI: 10.1016/j.renene.2014.11.056
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    Cited by:

    1. Sánchez, Antonio Santos & Rodrigues, Diego Arruda & Fontes, Raony Maia & Martins, Márcio Fernandes & Kalid, Ricardo de Araújo & Torres, Ednildo Andrade, 2018. "Wave resource characterization through in-situ measurement followed by artificial neural networks' modeling," Renewable Energy, Elsevier, vol. 115(C), pages 1055-1066.
    2. Fairley, I. & Smith, H.C.M. & Robertson, B. & Abusara, M. & Masters, I., 2017. "Spatio-temporal variation in wave power and implications for electricity supply," Renewable Energy, Elsevier, vol. 114(PA), pages 154-165.
    3. Pasquale Contestabile & Vincenzo Ferrante & Diego Vicinanza, 2015. "Wave Energy Resource along the Coast of Santa Catarina (Brazil)," Energies, MDPI, vol. 8(12), pages 1-25, December.
    4. Joensen, Bárður & Niclasen, Bárður A. & Bingham, Harry B., 2021. "Wave power assessment in Faroese waters using an oceanic to nearshore scale spectral wave model," Energy, Elsevier, vol. 235(C).
    5. Pasquale Contestabile & Enrico Di Lauro & Mariano Buccino & Diego Vicinanza, 2016. "Economic Assessment of Overtopping BReakwater for Energy Conversion (OBREC): A Case Study in Western Australia," Sustainability, MDPI, vol. 9(1), pages 1-28, December.
    6. Lokuliyana, R.L.K. & Folley, M. & Gunawardane, S.D.G.S.P. & Wickramanayake, P.N., 2020. "Sri Lankan wave energy resource assessment and characterisation based on IEC standards," Renewable Energy, Elsevier, vol. 162(C), pages 1255-1272.
    7. Sierra, J.P. & Martín, C. & Mösso, C. & Mestres, M. & Jebbad, R., 2016. "Wave energy potential along the Atlantic coast of Morocco," Renewable Energy, Elsevier, vol. 96(PA), pages 20-32.
    8. Memmola, Francesco & Contestabile, Pasquale & Falco, Pierpaolo & Brocchini, Maurizio, 2024. "Test Reference Year for wave energy studies: Generation and validation," Renewable Energy, Elsevier, vol. 224(C).
    9. Joan Pau Sierra & Ricard Castrillo & Marc Mestres & César Mösso & Piero Lionello & Luigi Marzo, 2020. "Impact of Climate Change on Wave Energy Resource in the Mediterranean Coast of Morocco," Energies, MDPI, vol. 13(11), pages 1-19, June.
    10. Soumya Ghosh & Mrinmoy Majumder & Manish Pal, 2018. "Application of metaheuristic algorithm to identify priority parameters for the selection of feasible location having optimum wave energy potential," Energy & Environment, , vol. 29(1), pages 3-28, February.

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