the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Statistical Analysis of Wave Energy Resources Available for Conversion at Natural Caves of Cape-Verde Islands
W. M. L. Monteiro
A. J. Sarmento
A. J. Fernandes
J. M. Fernandes
Abstract. Using the time-series of significant wave height and the peak period between 1979 and 2009 generated by SOWFIA project, some relevant statistical information about energy content available in ocean waves in Cape-Verde is obtained. The monthly and annual time-series of the average power are analysed and the confidence intervals for their values are defined. Considering all of the 31 years of data, the results show that the most energetic month, from the average power point of view is January (23.49 kW/m) and the least energetic month is July (15.04 kW/m). In fact, the monthly average power decays from January to July and increases from July to December (21.21 kW/m). The annual average power exhibits a clear attenuation over the 31 years analysed, the reason for which is not yet clear to us. However, using the appropriate Autoregressive Integrated Moving Average (ARIMA) model it is possible to estimate that future values of the annual average power tend to oscillate around 18.2 kW/m. Through the Coefficient of Variation of Power (COVP), obtained by dividing the standard deviation of the power time-series by the average power, it is possible to conclude that the wave resource is stable, with COVP between 0.46 and 0.66. The values of the Monthly Variation Index (MVI), the maximum range of the monthly mean wave power relative to the yearly mean level, show that the resource is relatively stable, with MVI < 1.2. The present work calculates the available power input into the Natural Caves (NCs) in Cape Verde Islands, through a rigorous analysis of the wave climate that excites them. The minimum sampling size and the corresponding numbers of days of measurements per month, are also estimated.
W. M. L. Monteiro et al.


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RC1: 'Review “Statistical Analysis of Wave Energy Resources Available for Conversion at Natural Caves of Cape-Verde Islands” Monteiro et al.', Anonymous Referee #1, 12 Feb 2016
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AC1: 'Answers to the Anonymous Referee #1', Wilson Monteiro, 16 Apr 2016
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AC1: 'Answers to the Anonymous Referee #1', Wilson Monteiro, 16 Apr 2016
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RC2: 'Review of "Statistical Anlaysis of Wave Energy Resources ..."', Anonymous Referee #2, 16 Mar 2016
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AC2: 'Answers to the Anonymous Referee #2', Wilson Monteiro, 16 Apr 2016
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EC1: 'Editor comment to authors', John M. Huthnance, 17 Apr 2016
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EC1: 'Editor comment to authors', John M. Huthnance, 17 Apr 2016
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AC2: 'Answers to the Anonymous Referee #2', Wilson Monteiro, 16 Apr 2016


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RC1: 'Review “Statistical Analysis of Wave Energy Resources Available for Conversion at Natural Caves of Cape-Verde Islands” Monteiro et al.', Anonymous Referee #1, 12 Feb 2016
-
AC1: 'Answers to the Anonymous Referee #1', Wilson Monteiro, 16 Apr 2016
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AC1: 'Answers to the Anonymous Referee #1', Wilson Monteiro, 16 Apr 2016
-
RC2: 'Review of "Statistical Anlaysis of Wave Energy Resources ..."', Anonymous Referee #2, 16 Mar 2016
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AC2: 'Answers to the Anonymous Referee #2', Wilson Monteiro, 16 Apr 2016
-
EC1: 'Editor comment to authors', John M. Huthnance, 17 Apr 2016
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EC1: 'Editor comment to authors', John M. Huthnance, 17 Apr 2016
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AC2: 'Answers to the Anonymous Referee #2', Wilson Monteiro, 16 Apr 2016
W. M. L. Monteiro et al.
W. M. L. Monteiro et al.
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Cited
3 citations as recorded by crossref.
- Numerical Analysis of Energy Converter for Wave Energy Power Generation-Pendulum System J. Aminuddin et al. 10.14710/ijred.9.2.255-261
- Wave energy production by a maritime Natural Cave: performance characterization and the power take-off design W. Monteiro et al. 10.1007/s40722-021-00196-w
- Analysis of Wave Energy Resources Around the Saint Martin Island in Bangladesh M. Das et al. 10.1007/s11804-021-00208-z