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Variation of the wave energy and significant wave height in the China Sea and adjacent waters. Statistical wave climate projections for coastal impact assessments. Wave energy resource assessment in the Mediterranean Sea on the basis of a 35–year hindcast. Black Sea wave energy atlas from 13 years hindcasted wave data.
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Technoeconomic analysis of electricity generation from wind energy in Kutahya, Turkey. Prediction of daily rainfall by a hybrid wavelet–season–neuro technique.
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Wave energy resource assessment in Uruguay. Longterm analysis of wave power potential in the Black Sea, based on 31–year SWAN simulations. Assessment of wave energy resource of the Black Sea based on 15–year numerical hindcast data. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 42 (4): 1–24. Long–term macro–scale assessment of wave power of Black Sea by an optimized numerical model. The overall annual mean wave power flux during 1994–2014 is found to be 0.27 kW m −1 in the offshore regions.Ībdollahzadehmoradi, Y., Özger, M., and Altunkaynak, A., 2018. The maximum wave power flux is 1.13 kW m −1 and occurs in November. The numerical model results are presented in terms of monthly, seasonal and annual average of wave power flux (kW m −1). This study is the first that dealt with the determination of wave energy potential of Marmara Sea. Mesh optimization was also performed to obtain the most suitable mesh structure for the study area. The numerical model was calibrated with measured wave data from a buoy station located in Marmara Sea. Wind data was obtained from ECMWF ERA-Interim re-analyses wind dataset at 10 m with a spatial resolution of 0.1° for the period of 1994 to 2014. In this study, wave power potential of Marmara Sea was investigated using the third generation spectral wind-wave model MIKE 21 SW with unstructured mesh. Marmara Sea, located between Black Sea and Aegean Sea, is an important sea for ocean engineering activities.