2017
DOI: 10.1016/j.renene.2016.11.055
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A 35 year high-resolution wave atlas for nearshore energy production and economics at the Aegean Sea

Abstract: The study enhances the coastal resource knowledge and discusses opportunities for wave energy in the Aegean Sea. A fine-resolution numerical wave model is utilised to provide results for the Greek coastal regions. The model ran for 35 years (1980-2014) estimating wave characteristics, and quantifying the wave energy potential in coastal areas. The results deliver the energy potential, variability, and site characterisation for the Aegean Sea. The dataset is coupled with wave energy converters power matrices to… Show more

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citations
Cited by 66 publications
(54 citation statements)
references
References 53 publications
(49 reference statements)
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“…The results of Jadid�leslam et al(2016) give the best error statistics for Athos, Lesvos, E1M3A, Mykonos, Santorini and Skyros when compared to the other studies. For Avgo, the results of this analysis are similar to the results of Zacharioudaki et al(2015), while the results of Lavidas and Venug�pal (2017) are better for Pylos. With the wind input data not describ- ing accurately high wind speeds, it might be possible that the wave model in ERA-Interim to not represent the associated wave heights and this uncertainty can be increased with the topographical lacks that the (meteorological or oceanographic) model might have as was the case of previous ECMWF reanalysis data (Cavaleri & Sclav�, 2006).…”
Section: Sub-daily Analysissupporting
confidence: 88%
See 1 more Smart Citation
“…The results of Jadid�leslam et al(2016) give the best error statistics for Athos, Lesvos, E1M3A, Mykonos, Santorini and Skyros when compared to the other studies. For Avgo, the results of this analysis are similar to the results of Zacharioudaki et al(2015), while the results of Lavidas and Venug�pal (2017) are better for Pylos. With the wind input data not describ- ing accurately high wind speeds, it might be possible that the wave model in ERA-Interim to not represent the associated wave heights and this uncertainty can be increased with the topographical lacks that the (meteorological or oceanographic) model might have as was the case of previous ECMWF reanalysis data (Cavaleri & Sclav�, 2006).…”
Section: Sub-daily Analysissupporting
confidence: 88%
“…In addition, Poupkou et al(2011) and identify negative trends regarding the frequency of appearance and the wind speed of the Etesians, from the analysis of ERA-40. ARPERA wind dataset has been used as input for wave hindcasting in ��e Greek Seas (Zac�ari�udaki & Reeve, 2011) while NOAA's CFRS wind data for wave energy estimates (Lavidas & Venug�pal, 2017 & S�ukissian, 2004;S�ukissian, 2008;Soukissian et al, 2009;K�rres et al, 2011;Mazarakis et al, 2012;Zac�ari�udaki et al, 2015;Emman�uil et al, 2016;Jadid�leslam et al, 2016;Lavidas & Venug�pal, 2017; )� T� discuss ��e perf�rmance �f reanaly� . To discuss the performance of reanalysis gridded dataset, the closest grid intersect to the insitu data is considered as representative of the under examination area (Ruti et al, 2008;Mazarakis et al, 2012;S��pa et al, 2013;Sanil Kumar & Mu�ammed Naseef, 2015;Zac�ari�udaki et al, 2015;Lavidas & Venug�pal, 2017).…”
Section: Study Areamentioning
confidence: 99%
“…Both Lavidas et.al. [126] and Zacharioudaki et.al. [123] studies have similar scatter indices, correlation coefficients, biases and rmse values are similar for all locations with some improvements in the Athos.…”
Section: Model Applicationmentioning
confidence: 93%
“…Lavidas et.al. [126] applied a two way nested model to the Aegean, identifying "hot-spot" areas, variations, and power performance by potential WECs in different depths and environments.…”
Section: Model Applicationmentioning
confidence: 99%
“…Local/regional assessments of the wave resource have been presented, among others, in [156,171] for offshore areas of the Greek Seas, [172] for the Eastern Mediterranean, [173] for Menorca (Spain), [174] for offshore areas of Italy, [175,176] for Sicily, [177] for Sardinia, [178] for the Balearic Sea, [179,180] for the Aegean Sea, and [181] for northern Latium.…”
Section: Wave Energymentioning
confidence: 99%