Evaluating the potential of wind energy generation using statistical analysis of wind characteristics – Case study: Eqlid Country

Document Type : Research Paper

Authors

1 Ph.D. student, Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran

2 Professor, Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran

3 Assisstant Professor, Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran

Abstract

Wind speed is one of the characteristics of wind energy which its data is extracted from meteorological stations. In this study, the data obtained from the weather station in the city Eqlid during a ten-year period has been used. Weibull distribution was chosen as the best distribution function using fitting tests and estimation of some statistical parameters. The results showed that the average wind speed was about 2.96 meters per second and the least wind speed occurs in the warm months. Average rating for extracting the maximum wind speed (Vemp) at the studied stations was about 7.81 meters per second. The total power density and wind energy were 79 Watts per square meter and 657.6723 kilowatt hours per square meter in a year, respectively. The dominant wind direction with the highest contribution in the region belonged to the directions of east, south and west.

Keywords

Main Subjects

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Iranian Journal of Biosystems Engineering
Volume 47, Issue 3
November 2016
Pages 469-483

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History

  • Receive Date: 31 January 2016
  • Revise Date: 23 April 2016
  • Accept Date: 16 May 2016

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