Wave energy potential and variability for the south west coasts of the Black Sea: The WEB-based wave energy atlas

Bingölbali, Bilal; Jafali, Halid; Akpınar, Adem; Bekiroğlu, Serkan

doi:10.1016/j.renene.2020.03.014

Cited by 26 publications

(6 citation statements)

References 41 publications

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“…Recently, Reguero et al (2019) found that upper-ocean warming changed the global wave climate and made waves stronger, and observed slow increases in GWP of 0.41% per year from 1948 to 2008. The wave energy estimates for given regions have significant variations in monthly, seasonal, and annual patterns and therefore should not be ignored (e.g., Kamranzad et al, 2013;Bingölbali et al, 2020;Vieira et al, 2020). Wave powers show both regional diversity and long-term uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal variability and climate teleconnections of global ocean wave power

et al. 2022

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Climate change impacts have driven a transformation of the global energy system. The utilization of renewable energies is required to meet energy demands while protecting the environment. Wind-generated waves, carrying energy from the atmosphere, are a possible energy supply. However, global and long-term variability in wave resources due to the effects of climate change remain uncertain. This study quantified the spatiotemporal patterns and availability of global wave power (GWP) based on the ERA5 hourly and monthly reanalysis products, spanning from 1979 to 2020. The most promising wave resources appeared centralized in the westerlies of both hemispheres, and the wave power exhibited a “rich-get-richer” trend in the Southern Ocean, dominating the overall distribution and variability of GWP. Significant seasonal and interannual oscillation trends in GWP were observed, but with little variations on daily and hourly time scales. We found the average GWP in ERA5 products increased by 12.89% suddenly in 1991, mainly caused by the beginning of altimeter assimilation. This also implies the potential underestimation of wave fields in the modeling results before the advent of altimeter. In the altimeter era, annual GWP exhibits (quasi-) decadal oscillation (variation near ±4%), which differed from the monotonous increases previously reported. An analysis and source tracing based on the climate teleconnections indexes revealed that the primary climate driver of the variability was the Southern Annual Mode (r = 0.84). This study provides scientific guidance for wave power utilization and helps deepen our understanding of air-sea interactions.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal variability and climate teleconnections of global ocean wave power

et al. 2022

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“…Arkhipkin et al 2014;Akpınar et al 2016; has been thoroughly assessed. Studies assessing wave energy potential in the Black Sea have been performed by Rusu (2009), Kömürcü (2012, 2013), Rusu (2019), Akpınar et al (2017Akpınar et al ( , 2019, , Staneva et al (2020a), Le Traon et al (2021), and Bingölbali et al (2020. Previous studies of the Black Sea mostly focus on mean conditions or individual storms, whereas here, we analyse extreme conditions.…”

Section: Introductionmentioning

confidence: 99%

“…Spectral models have made significant improvements over the last decades in predicting bulk wave parameters, such as the SWH, wave periods and directions, and they continue to constitute an essential part of marine weather analysis Bingölbali et al 2020;Cavaleri et al 2020). As a result, SWH in the global seas (ECMWF 2019) and in the Mediterranean and Black Seas (see, e.g.…”

Section: Introductionmentioning

confidence: 99%

Copernicus Ocean State Report, issue 6

Brasseur

2022

Journal of Operational Oceanography

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DisclaimerInforma UK Limited, trading as Taylor & Francis Group, make every effort to ensure the accuracy of all the information (the "Content") contained in our publications. However, Informa UK Limited, trading as Taylor & Francis Group, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Informa UK Limited, trading as Taylor & Francis Group. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Informa UK Limited, trading as Taylor & Francis Group, shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content.

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“…Albino et al (2016a) e Lins-de-Barros et al (2018) descrevem a variação do grau de exposição às ondas incidentes ao longo do litoral sudeste do Brasil com base no clima de ondas sobre a plataforma continental externa. Porém, os efeitos das particularidades do litoral sobre as ondas incidentes são destacados em estudos que aplicam a propagação de ondas em águas rasas para incluir a interação das ondas com o leito marinho e a orientação da linha de costa (Bulhões et al, 2014;Souza et al, 2016;Eguchi & Albino, 2018;Bingölbali et al, 2020;Firmino & Bulhões, 2020;Patel et al, 2020;Yang et al, 2020).…”

Section: Introductionunclassified

Metodologia para determinação do grau de exposição às ondas utilizando energia de ondas e respostas de perfis praiais, aplicada ao litoral sul do Espírito Santo

Eguchi

Albino

2022

PESQUI GEOCIENC

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A energia de ondas que atinge a costa é determinada pelas ondas em mar aberto. No entanto, a interação com o leito marinho sobre a plataforma interna e antepraia, assim como a orientação da linha de costa, alteram o padrão energético de ondas sobre a costa. O presente estudo propõe uma metodologia para avaliar o grau de exposição à energia de ondas, considerando a interação das ondas com o leito marinho e a estabilidade de perfis de praia submetidos aos diferentes graus de exposição. Para tal, foram utilizados dados de ondas do modelo ERA5 e o modelo numérico OLUCA-MC, para simular a variação de energia das ondas em aguas rasas para os seguintes cenários: Norte (337,5°-22,5°), Nordeste (22,5°-67,5°), Leste (67,5°-112,5°), Sudeste (112,5°-157,5°), Sul (157,5°-202,5°) e Sudoeste (202,5°-247,5°). A avaliação da resposta dos perfis praiais foi feita com base na variabilidade da altura da barreira e do volume sedimentar da praia emersa. Os resultados indicam que ondas dos quadrantes associados a maiores energias sofrem maiores dissipações ao se propagarem em direção a costa. Já as ondas dos quadrantes mais recorrentes apresentam incremento de sua energia ao se propagarem até a costa. Os perfis associados a maiores variações da energia de ondas apresentam maiores variações e tendências de redução da altura da barreira e volume da praia emersa. Conclui-se que o processo de dissipação energética de ondas sobre a plataforma interna e antepraia ocorre de forma diferenciada para cada direção de incidência e é corroborado pela variação dos perfis.

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Wave energy potential and variability for the south west coasts of the Black Sea: The WEB-based wave energy atlas

Cited by 26 publications

References 41 publications

Spatiotemporal variability and climate teleconnections of global ocean wave power

Spatiotemporal variability and climate teleconnections of global ocean wave power

Copernicus Ocean State Report, issue 6

Metodologia para determinação do grau de exposição às ondas utilizando energia de ondas e respostas de perfis praiais, aplicada ao litoral sul do Espírito Santo

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