Wave energy distribution and direction assessment in the Peru Basin

Torre, Dennys De La; Ortega, Arturo

doi:10.1109/intercon55795.2022.9870153

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…The spectral data are provided hourly, containing a total of 52,608 sea states, with more than 99.3% of the data available from 2012 to 2017. Wave roses of wave power and significant wave height and scatter diagrams of relative frequencies and wave energy distribution using Buoy 32012 are presented in [27], which assessed wave energy resources in the Peru Basin. also presented.…”

Section: Spectral Datamentioning

confidence: 99%

On the Estimation of the Wave Energy Period and a Kernel Proposal for the Peru Basin

Torre

Luyo

Ortega

2023

JMSE

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The energy period is a crucial parameter needed for assessing wave energy. This parameter is regularly approximated using standard wave spectrums that do not always characterise an actual ocean region, even more if this region is far from the Northern Hemisphere, where most of the energy period approximations have been developed. In this work, diverse approximations for the energy period were evaluated using spectral data from a region of the Peru Basin. It included the assessment of a proposed Kernel “coefficient” curve. They were assessed regarding their time series, wave climate, and temporal variability. The time series analysis showed that the approximations based on the peak period do not have a realistic physical representation of ocean waves. On the other hand, the proposed Kernel correlation gave the best results for computing the energy period and the monthly/seasonal variability indexes for temporal variability analysis. Additionally, the correlations based on the zero-up-crossing period generated the best results for computing the coefficient of variation. Conversely, the highest errors were calculated for the correlations based on the traditional Bretschneider and JONSWAP spectrums. The wave climate indicated an annual average energy period equal to 9.8 s, considered stable due to its low variability.

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Section: Spectral Datamentioning

confidence: 99%