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Spatial variability of waves within a marine energy site using in-situ measurements and a high resolution spectral wave model

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  • Ashton, I.
  • Van-Nieuwkoop-McCall, J.C.C.
  • Smith, H.C.M.
  • Johanning, L.

Abstract

A high resolution spectral wave model is used to quantify the spatial wave climate on geographical scales relevant to intra-site variability for marine renewable energy installations. For the first time, results are compared to in-situ data from an array of four floating wave buoys, and demonstrate the ability of the spectral wave model SWAN (Simulating WAves Nearshore) to resolve spatial differences in the wave climate. Examination of the model source terms highlights bottom friction and refraction as the primary processes contributing to the observed differences across the site. Wave models for climate assessments for marine renewable energy are not commonly operated at sufficient spatial resolution to accurately resolve intra-site variability. This study demonstrates that high spatial resolution spectral wave models, nested into a larger model domain, have the potential to provide an accurate and detailed prediction of the spatial variability of wave conditions across a marine renewable energy site. As such, they could be implemented to provide a more accurate resource assessment for wave energy array deployments, but also for engineering assessments of other marine energy technologies.

Suggested Citation

  • Ashton, I. & Van-Nieuwkoop-McCall, J.C.C. & Smith, H.C.M. & Johanning, L., 2014. "Spatial variability of waves within a marine energy site using in-situ measurements and a high resolution spectral wave model," Energy, Elsevier, vol. 66(C), pages 699-710.
    • Handle: RePEc:eee:energy:v:66:y:2014:i:c:p:699-710
    DOI: 10.1016/j.energy.2013.12.065
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    1. Mackay, Edward B.L. & Bahaj, AbuBakr S. & Challenor, Peter G., 2010. "Uncertainty in wave energy resource assessment. Part 1: Historic data," Renewable Energy, Elsevier, vol. 35(8), pages 1792-1808.
    2. Li, Guang & Weiss, George & Mueller, Markus & Townley, Stuart & Belmont, Mike R., 2012. "Wave energy converter control by wave prediction and dynamic programming," Renewable Energy, Elsevier, vol. 48(C), pages 392-403.
    3. Smith, Helen C.M. & Pearce, Charles & Millar, Dean L., 2012. "Further analysis of change in nearshore wave climate due to an offshore wave farm: An enhanced case study for the Wave Hub site," Renewable Energy, Elsevier, vol. 40(1), pages 51-64.
    4. Kim, Gunwoo & Jeong, Weon Mu & Lee, Kwang Soo & Jun, Kicheon & Lee, Myung Eun, 2011. "Offshore and nearshore wave energy assessment around the Korean Peninsula," Energy, Elsevier, vol. 36(3), pages 1460-1469.
    5. van Nieuwkoop, Joana C.C. & Smith, Helen C.M. & Smith, George H. & Johanning, Lars, 2013. "Wave resource assessment along the Cornish coast (UK) from a 23-year hindcast dataset validated against buoy measurements," Renewable Energy, Elsevier, vol. 58(C), pages 1-14.
    6. Smith, Helen C.M. & Haverson, David & Smith, George H., 2013. "A wave energy resource assessment case study: Review, analysis and lessons learnt," Renewable Energy, Elsevier, vol. 60(C), pages 510-521.
    7. Iglesias, G. & Carballo, R., 2010. "Offshore and inshore wave energy assessment: Asturias (N Spain)," Energy, Elsevier, vol. 35(5), pages 1964-1972.
    8. Mackay, Edward B.L. & Bahaj, AbuBakr S. & Challenor, Peter G., 2010. "Uncertainty in wave energy resource assessment. Part 2: Variability and predictability," Renewable Energy, Elsevier, vol. 35(8), pages 1809-1819.
    9. Carballo, R. & Iglesias, G., 2013. "Wave farm impact based on realistic wave-WEC interaction," Energy, Elsevier, vol. 51(C), pages 216-229.
    10. Rusu, Eugen & Guedes Soares, C., 2012. "Wave energy pattern around the Madeira Islands," Energy, Elsevier, vol. 45(1), pages 771-785.
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