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Wind power potential assessment for three buoys data collection stations in the Ionian Sea using Weibull distribution function
Authors:Haralambos S Bagiorgas  Giouli Mihalakakou  Shafiqur Rehman  Luai M Al-Hadhrami
Institution:1. Department of Environmental and Natural Resources Management, University of Patras, Patras, Greece;2. Center for engineering Research, Research Institute, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia;3. Mechanical and Aeronautical Engineering Department, University of Pretoria, Pretoria, South Africa
Abstract:The present article utilizes wind measurements from three buoys data collection stations in Ionian Sea to study the wind speed and power characteristics using the Weibull shape and scale parameters. Specifically, the site dependent, annual, and monthly mean patterns of mean wind speed, Weibull parameters, frequency distribution, most probable wind speed, maximum energy carrying wind speed, wind power density and wind energy density characteristics have been analyzed. The Weibull distribution was found to represent the wind speed distribution with more than 90% accuracy, in most of the cases. Moreover, the correlation between the percentages of times the wind speed was above cut-in-speed and the measured mean wind speed for the three selected sites, as the correlation between the aforementioned percentages and the scale parameter c were examined and were found linear. At all these sites, no definite increasing or decreasing trends in annual mean wind speed values could be detective over the data reporting period. The mean values of wind speed, scale parameter, most probable wind speed, maximum energy carrying wind speed, wind power and wind energy density values showed higher values during winter time and lower in summer time in Pylos and Zakynthos. Moreover, Pylos and Zakynthos were found to be the best sites from wind power harnessing point of view.
Keywords:Maximum energy carrying wind speed  most probable wind speed  Weibull distribution  wind energy density  wind power density
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