NDLI: Wave energy estimation by using a statistical analysis and wave buoy data near the southern Caspian Sea

Content Provider	Springer Nature Link
Author	Zamani, A. R. Badri, M. A.
Copyright Year	2015
Abstract	Statistical analysis was done on simultaneous wave and wind using data recorded by discus-shape wave buoy. The area is located in the southern Caspian Sea near the Anzali Port. Recorded wave data were obtained through directional spectrum wave analysis. Recorded wind direction and wind speed were obtained through the related time series as well. For 12-month measurements (May 25 2007–2008), statistical calculations were done to specify the value of nonlinear auto-correlation of wave and wind using the probability distribution function of wave characteristics and statistical analysis in various time periods. The paper also presents and analyzes the amount of wave energy for the area mentioned on the basis of available database. Analyses showed a suitable comparison between the amounts of wave energy in different seasons. As a result, the best period for the largest amount of wave energy was known. Results showed that in the research period, the mean wave and wind auto correlation were about three hours. Among the probability distribution functions, i.e Weibull, Normal, Lognormal and Rayleigh, “Weibull” had the best consistency with experimental distribution function shown in different diagrams for each season. Results also showed that the mean wave energy in the research period was about 49.88 kW/m and the maximum density of wave energy was found in February and March, 2010.
Starting Page	275
Ending Page	286
Page Count	12
File Format	PDF
ISSN	08905487
Journal	China Ocean Engineering
Volume Number	29
Issue Number	2
e-ISSN	21918945
Language	English
Publisher	Chinese Ocean Engineering Society
Publisher Date	2015-04-11
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	probability distribution function nonlinear auto-correlation wave energy statistical analysis Anzali Port Offshore Engineering Oceanography Coastal Sciences Fluid- and Aerodynamics Marine & Freshwater Sciences Numerical and Computational Physics
Content Type	Text
Resource Type	Article
Subject	Oceanography Ocean Engineering Renewable Energy, Sustainability and the Environment Mechanical Engineering

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