Energetic Potential Assessment of Wind-Driven Waves on the South-Southeastern Brazilian Shelf

Global electric energy demand is constantly growing, consequently leading towards the usage of renewable energy sources reducing pollution and increasing sustainability. The ocean is a poorly explored renewable energy source; thus, to evaluate the Brazilian wave energy budget, this study investigate...

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Main Authors: Phelype Haron Oleinik, Eduardo de Paula Kirinus, Cristiano Fragassa, Wiliam Correa Marques, Juliana Costi
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/7/2/25
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record_format Article
collection DOAJ
language English
format Article
sources DOAJ
author Phelype Haron Oleinik
Eduardo de Paula Kirinus
Cristiano Fragassa
Wiliam Correa Marques
Juliana Costi
spellingShingle Phelype Haron Oleinik
Eduardo de Paula Kirinus
Cristiano Fragassa
Wiliam Correa Marques
Juliana Costi
Energetic Potential Assessment of Wind-Driven Waves on the South-Southeastern Brazilian Shelf
Journal of Marine Science and Engineering
wave power
Brazilian continental shelf
numerical simulation
<span style="font-variant: small-caps
">Tomawac</span>
renewable energy
author_facet Phelype Haron Oleinik
Eduardo de Paula Kirinus
Cristiano Fragassa
Wiliam Correa Marques
Juliana Costi
author_sort Phelype Haron Oleinik
title Energetic Potential Assessment of Wind-Driven Waves on the South-Southeastern Brazilian Shelf
title_short Energetic Potential Assessment of Wind-Driven Waves on the South-Southeastern Brazilian Shelf
title_full Energetic Potential Assessment of Wind-Driven Waves on the South-Southeastern Brazilian Shelf
title_fullStr Energetic Potential Assessment of Wind-Driven Waves on the South-Southeastern Brazilian Shelf
title_full_unstemmed Energetic Potential Assessment of Wind-Driven Waves on the South-Southeastern Brazilian Shelf
title_sort energetic potential assessment of wind-driven waves on the south-southeastern brazilian shelf
publisher MDPI AG
series Journal of Marine Science and Engineering
issn 2077-1312
publishDate 2019-01-01
description Global electric energy demand is constantly growing, consequently leading towards the usage of renewable energy sources reducing pollution and increasing sustainability. The ocean is a poorly explored renewable energy source; thus, to evaluate the Brazilian wave energy budget, this study investigated the mean behaviour of the wave power rate on the south-southeastern Brazilian Shelf as well as analysed the temporal variability of the wave power rate at the most energetic locations near the coast. Three locations were examined, namely Laguna, Ilhabela and Farol Island, based on the criteria of high means and small standard deviations. The mean wave power rate was approximately <inline-formula> <math display="inline"> <semantics> <mrow> <mn>9</mn> <mo>.</mo> <mn>08</mn> </mrow> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">k</mi> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">W</mi> </semantics> </math> </inline-formula>/<inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">m</mi> </semantics> </math> </inline-formula> on Laguna, <inline-formula> <math display="inline"> <semantics> <mrow> <mn>10</mn> <mo>.</mo> <mn>01</mn> </mrow> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">k</mi> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">W</mi> </semantics> </math> </inline-formula>/<inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">m</mi> </semantics> </math> </inline-formula> on Ilhabela and <inline-formula> <math display="inline"> <semantics> <mrow> <mn>15</mn> <mo>.</mo> <mn>93</mn> </mrow> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">k</mi> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">W</mi> </semantics> </math> </inline-formula>/<inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">m</mi> </semantics> </math> </inline-formula> on Farol Island. The standard deviation identified in the three locations reached values of <inline-formula> <math display="inline"> <semantics> <mrow> <mn>6</mn> <mo>.</mo> <mn>47</mn> </mrow> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">k</mi> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">W</mi> </semantics> </math> </inline-formula>/<inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">m</mi> </semantics> </math> </inline-formula> on Laguna, <inline-formula> <math display="inline"> <semantics> <mrow> <mn>7</mn> <mo>.</mo> <mn>59</mn> </mrow> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">k</mi> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">W</mi> </semantics> </math> </inline-formula>/<inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">m</mi> </semantics> </math> </inline-formula> on Ilhabela and <inline-formula> <math display="inline"> <semantics> <mrow> <mn>13</mn> <mo>.</mo> <mn>51</mn> </mrow> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">k</mi> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">W</mi> </semantics> </math> </inline-formula>/<inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">m</mi> </semantics> </math> </inline-formula> on Farol Island. Temporal variability analysis was conducted through wavelet analysis. The results show a dominant yearly cycle with a background presence of synoptic cycles, with little deviation between the locations. The El Niño southern oscillation plays a minor role on the energy spectrum of Laguna and does not have a significant influence on Ilhabela and Farol Island.
topic wave power
Brazilian continental shelf
numerical simulation
<span style="font-variant: small-caps
">Tomawac</span>
renewable energy
url https://www.mdpi.com/2077-1312/7/2/25
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spelling doaj-a18e015a8d414735bc93e93af6ead6b72021-04-02T01:07:09ZengMDPI AGJournal of Marine Science and Engineering2077-13122019-01-01722510.3390/jmse7020025jmse7020025Energetic Potential Assessment of Wind-Driven Waves on the South-Southeastern Brazilian ShelfPhelype Haron Oleinik0Eduardo de Paula Kirinus1Cristiano Fragassa2Wiliam Correa Marques3Juliana Costi4Engineering School, Federal University of Rio Grande, Campus Carreiros, Itália Avenue Km 8, Rio Grande 96230–000, BrazilEngineering School, Federal University of Rio Grande, Campus Carreiros, Itália Avenue Km 8, Rio Grande 96230–000, BrazilDepartment of Industrial Engineering, University of Bologna, Viale Risorgimento 2, 40136 Bologna, ItalyInstitute of Mathematics, Statistics and Physics, Federal University of Rio Grande, Campus Carreiros, Itália Avenue Km 8, Rio Grande 96230–000, BrazilInstitute of Mathematics, Statistics and Physics, Federal University of Rio Grande, Campus Carreiros, Itália Avenue Km 8, Rio Grande 96230–000, BrazilGlobal electric energy demand is constantly growing, consequently leading towards the usage of renewable energy sources reducing pollution and increasing sustainability. The ocean is a poorly explored renewable energy source; thus, to evaluate the Brazilian wave energy budget, this study investigated the mean behaviour of the wave power rate on the south-southeastern Brazilian Shelf as well as analysed the temporal variability of the wave power rate at the most energetic locations near the coast. Three locations were examined, namely Laguna, Ilhabela and Farol Island, based on the criteria of high means and small standard deviations. The mean wave power rate was approximately <inline-formula> <math display="inline"> <semantics> <mrow> <mn>9</mn> <mo>.</mo> <mn>08</mn> </mrow> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">k</mi> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">W</mi> </semantics> </math> </inline-formula>/<inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">m</mi> </semantics> </math> </inline-formula> on Laguna, <inline-formula> <math display="inline"> <semantics> <mrow> <mn>10</mn> <mo>.</mo> <mn>01</mn> </mrow> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">k</mi> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">W</mi> </semantics> </math> </inline-formula>/<inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">m</mi> </semantics> </math> </inline-formula> on Ilhabela and <inline-formula> <math display="inline"> <semantics> <mrow> <mn>15</mn> <mo>.</mo> <mn>93</mn> </mrow> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">k</mi> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">W</mi> </semantics> </math> </inline-formula>/<inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">m</mi> </semantics> </math> </inline-formula> on Farol Island. The standard deviation identified in the three locations reached values of <inline-formula> <math display="inline"> <semantics> <mrow> <mn>6</mn> <mo>.</mo> <mn>47</mn> </mrow> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">k</mi> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">W</mi> </semantics> </math> </inline-formula>/<inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">m</mi> </semantics> </math> </inline-formula> on Laguna, <inline-formula> <math display="inline"> <semantics> <mrow> <mn>7</mn> <mo>.</mo> <mn>59</mn> </mrow> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">k</mi> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">W</mi> </semantics> </math> </inline-formula>/<inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">m</mi> </semantics> </math> </inline-formula> on Ilhabela and <inline-formula> <math display="inline"> <semantics> <mrow> <mn>13</mn> <mo>.</mo> <mn>51</mn> </mrow> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">k</mi> </semantics> </math> </inline-formula><inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">W</mi> </semantics> </math> </inline-formula>/<inline-formula> <math display="inline"> <semantics> <mi mathvariant="normal">m</mi> </semantics> </math> </inline-formula> on Farol Island. Temporal variability analysis was conducted through wavelet analysis. The results show a dominant yearly cycle with a background presence of synoptic cycles, with little deviation between the locations. The El Niño southern oscillation plays a minor role on the energy spectrum of Laguna and does not have a significant influence on Ilhabela and Farol Island.https://www.mdpi.com/2077-1312/7/2/25wave powerBrazilian continental shelfnumerical simulation<span style="font-variant: small-caps">Tomawac</span>renewable energy