On the Nile Fan's Wave Power Potential and Controlling Factors Integrating Spectral and Geostatistical Techniques

2021 ◽  
Author(s):  
Alaa A. Masoud
2004 ◽  
Vol 26 (9) ◽  
pp. 891-901 ◽  
Author(s):  
ONDER OZGENER ◽  
KORAY ULGEN ◽  
ARIF HEPBASLI

Author(s):  
Dag Myrhaug

The article addresses how the wave power in shallow water can be estimated based on available wind and wave statistics for a deep water ocean area. The average statistical properties of the wave power in shallow water expressed in terms of the mean value and the standard deviation are presented. Results are exemplified by using long-term wind and wave statistics from the same ocean area in the Northern North Sea. Overall, it appears that there is agreement between the results based on these inputs from wind and wave statistics. The presented analytical method should be useful for making preliminary estimates of the wave power potential in shallow water using either available deep water wind statistics or deep water wave statistics, which enhances the possibilities for assessing further the wave power potential in, for example, near-coastal zones.


2019 ◽  
Vol 18 (2) ◽  
pp. 293-304
Author(s):  
Yasin Abdollahzadehmoradi ◽  
Mehmet Özger ◽  
Abdüsselam Altunkaynak

Energies ◽  
2017 ◽  
Vol 10 (12) ◽  
pp. 2170 ◽  
Author(s):  
Egidijus Kasiulis ◽  
Jens Kofoed ◽  
Arvydas Povilaitis ◽  
Algirdas Radzevičius

Energy ◽  
1982 ◽  
Vol 7 (10) ◽  
pp. 839-845 ◽  
Author(s):  
T.V.S.Narasimha Rao ◽  
V. Sundar

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Bernt J. Leira ◽  
Dag Myrhaug

The paper provides long-term bivariate distributions of wave power with wave height, and wave power with wave period. This is relevant for assessments of wave power devices and their potential for converting energy from waves. The results can be applied to compare systematically the wave power potential for individual waves at different locations based on short-term statistical description of the individual waves and the long-term statistical information of the wave climate. Furthermore, it allows for assessment of the efficiency of a given wave power device for each location.


2016 ◽  
Vol 86 ◽  
pp. 1045-1059 ◽  
Author(s):  
Navid Jadidoleslam ◽  
Mehmet Özger ◽  
Necati Ağıralioğlu

Author(s):  
Cigdem Ozkan ◽  
Talea L. Mayo

The state of Florida has an abundance of renewable energy resources. Florida sees sun in an average 60% of its available daylight hours, and has 8,436 miles of coastline, and thus solar and wave energy are two promising alternatives to more conventional energy sources. The Electric Power Research Institute estimates the wave power potential along the Gulf of Mexico coast and East coast of the United States as 60 TWh/year and 160 TWh/year, respectively. One TWh/year can power approximately 93,850 US homes annually, and thus it is likely that ocean wave energy has the potential to greatly contribute to the overall energy supply. This can be acheived by harnessing and converting wave energy into electricity using wave energy conversion devices. However, the feasibility of wave energy conversion must be assessed before such technologies can be employed. As a first step, the amount of available wave power in regions where devices may be deployed should be estimated. In this study, we assess the wave power potential of Florida’s nearshore coastal regions.


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