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A new directional wave spectra characterization for offshore renewable energy applications

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  • Ribeiro, P.J.C.
  • Henriques, J.C.C.
  • Campuzano, F.J.
  • Gato, L.M.C.
  • Falcão, A.F.O.

Abstract

The paper presents a new selection technique of wave spectra for the numerical simulation of offshore renewable energy (ORE) devices in the form of representative directional spectra, which conserves information about the distribution of wave energy along with frequency and direction classes. As a test case, an assessment of wave power resource for the Condor Submarine Mount (Azores Archipelago) is provided. The wave climate for this location was studied using the numerical model WAVEWATCH III for the period 2008–2018. Modelling results were compared with observations from four wave-buoys from the CLIMAAT project distributed around the Azores archipelago. Results indicated an annual averaged wave energy flux of 40.2 kW/m, with winter months providing more than eight times the energy that was observed during summer. The resultant nine representative spectra were used to further understand the wave climate in the region, including its seasonal variability. Compared to the traditional approach that employs simple Hm0−Te combinations, this spectral strategy describes better the energy variability while allowing for more accurate numerical simulations of ORE devices.

Suggested Citation

  • Ribeiro, P.J.C. & Henriques, J.C.C. & Campuzano, F.J. & Gato, L.M.C. & Falcão, A.F.O., 2020. "A new directional wave spectra characterization for offshore renewable energy applications," Energy, Elsevier, vol. 213(C).
    • Handle: RePEc:eee:energy:v:213:y:2020:i:c:s0360544220319356
    DOI: 10.1016/j.energy.2020.118828
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    Cited by:

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    2. Zihao Wu & Carolina Euan & Rosa M. Crujeiras & Ying Sun, 2023. "Estimation and Clustering of Directional Wave Spectra," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(3), pages 502-525, September.

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