Sustainability of the Reanalysis Databases in Predicting the Wind and Wave Power along the European Coasts
Department of Mechanical Engineering, Faculty of Engineering, “Dunărea de Jos” University of Galati, 47 Domneasca Street, 800008 Galati, Romania
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Sustainability 2018, 10(1), 193; https://doi.org/10.3390/su10010193
Received: 28 December 2017 / Revised: 7 January 2018 / Accepted: 11 January 2018 / Published: 15 January 2018
(This article belongs to the Section Environmental Sustainability and Applications)
In the present work, the wind and wave conditions in the European nearshore are assessed considering a total of 118 years of data, covering the time interval from 1900 to 2017. In this context, special attention has been given to the western European coasts that are facing the ocean. In order to do this, the reanalysis data coming from three state-of-the-art databases (ERA Interim, ERA20C, and NCEP) were processed. Furthermore, a more complete picture was provided by also including the satellite measurements coming from the AVISO (Archiving, Validation and Interpretation of Satellite Oceanographic Data) project in the analysis. From this perspective, the distribution of the two marine energy resources was discussed, which throughout energetic maps—and further, on some specific reference sites—were defined at a distance of 50 km from the shore for more detailed analysis and comparison. As expected, the places located in the vicinity of the United Kingdom present more important energy resources, but some other interesting sites were also highlighted. Furthermore, although each dataset is defined by particular features, there is a similar pattern in the identification of the sites’ attractiveness, regardless of the database considered for assessment.
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Keywords:
European nearshore; coastal areas; wind and wave power; reanalysis data; satellite measurements
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MDPI and ACS Style
Onea, F.; Rusu, E. Sustainability of the Reanalysis Databases in Predicting the Wind and Wave Power along the European Coasts. Sustainability 2018, 10, 193. https://doi.org/10.3390/su10010193
AMA Style
Onea F, Rusu E. Sustainability of the Reanalysis Databases in Predicting the Wind and Wave Power along the European Coasts. Sustainability. 2018; 10(1):193. https://doi.org/10.3390/su10010193
Chicago/Turabian StyleOnea, Florin, and Eugen Rusu. 2018. "Sustainability of the Reanalysis Databases in Predicting the Wind and Wave Power along the European Coasts" Sustainability 10, no. 1: 193. https://doi.org/10.3390/su10010193
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