Journal
ENERGIES
Volume 8, Issue 9, Pages 10370-10388Publisher
MDPI
DOI: 10.3390/en80910370
Keywords
wave energy; Black Sea; Simulating Waves Nearshore (SWAN); data assimilation; satellite data
Categories
Funding
- Romanian Ministry of National Education, CNCS-UEFISCDI (Romanian National Research Council-Executive Agency for Higher Education, Research, Development and Innovation) [PN-II-ID-PCE-2012-4-0089]
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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.
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