On the Estimation of the Wave Energy Period and a Kernel Proposal for the Peru Basin
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 appr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/11/6/1100 |
| _version_ | 1797593995395727360 |
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| author | Dennys De La Torre Jaime Luyo Arturo Ortega |
| author_facet | Dennys De La Torre Jaime Luyo Arturo Ortega |
| author_sort | Dennys De La Torre |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T02:17:23Z |
| format | Article |
| id | doaj.art-6e24a73fd966478db3d8d117ce77f978 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-11T02:17:23Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-6e24a73fd966478db3d8d117ce77f9782023-11-18T11:05:53ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-05-01116110010.3390/jmse11061100On the Estimation of the Wave Energy Period and a Kernel Proposal for the Peru BasinDennys De La Torre0Jaime Luyo1Arturo Ortega2Universidad Nacional de Ingeniería, Av. Túpac Amaru 210, Rímac, Lima 15333, PeruUniversidad Nacional de Ingeniería, Av. Túpac Amaru 210, Rímac, Lima 15333, PeruUniversidad Autónoma del Perú, Panamericana Sur Km. 16.3, Villa El Salvador, Lima 15842, PeruThe 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.https://www.mdpi.com/2077-1312/11/6/1100wave energy periodwave climatespectral dataKernel regressionBretschneider spectrumJONSWAP spectrum |
| spellingShingle | Dennys De La Torre Jaime Luyo Arturo Ortega On the Estimation of the Wave Energy Period and a Kernel Proposal for the Peru Basin Journal of Marine Science and Engineering wave energy period wave climate spectral data Kernel regression Bretschneider spectrum JONSWAP spectrum |
| title | On the Estimation of the Wave Energy Period and a Kernel Proposal for the Peru Basin |
| title_full | On the Estimation of the Wave Energy Period and a Kernel Proposal for the Peru Basin |
| title_fullStr | On the Estimation of the Wave Energy Period and a Kernel Proposal for the Peru Basin |
| title_full_unstemmed | On the Estimation of the Wave Energy Period and a Kernel Proposal for the Peru Basin |
| title_short | On the Estimation of the Wave Energy Period and a Kernel Proposal for the Peru Basin |
| title_sort | on the estimation of the wave energy period and a kernel proposal for the peru basin |
| topic | wave energy period wave climate spectral data Kernel regression Bretschneider spectrum JONSWAP spectrum |
| url | https://www.mdpi.com/2077-1312/11/6/1100 |
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