期刊论文详细信息
Energies
Assessment of the Wave Energy in the Black Sea Based on a 15-Year Hindcast with Data Assimilation
Liliana Rusu1 
[1] Department of Mechanical Engineering, “Dunarea de Jos” University of Galati, 47 Domneasca Street, Galati 800201, Romania; E-Mail
关键词: wave energy;    Black Sea;    Simulating Waves Nearshore (SWAN);    data assimilation;    satellite data;   
DOI  :  10.3390/en80910370
来源: mdpi
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【 摘 要 】

The principal target of the present work is to assess the wave energy potential in the Black Sea, identifying also some relevant energetic features and possible patterns. A wave prediction system based on the Simulating Waves Nearshore model (SWAN) has been implemented and intensively tested in the entire sea basin. Moreover, considering an optimal interpolation technique, an assimilation scheme of the satellite data has been developed, leading to a visible improvement of the wave model predictions in terms of significant wave heights and, consequently, also in terms of wave power. Using this wave prediction system with data assimilation, simulations have been performed for a 15-year period (1999–2013). Considering the results of this 15-year wave hindcast, an analysis of the wave energy conditions in the basin of the Black Sea has been carried out. This provided a more comprehensive picture concerning the wave energy patterns in the coastal environment of the Black Sea focused on the average wave conditions that might be expected in this sea. Following the results presented, it can be concluded that the wave energy extraction in the Black Sea can become an issue of interest, especially from the perspective of the hybrid solutions.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.

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