Analysis of wind speed data and wind energy potential using Weibull distribution in Zagora, Morocco

*Daoudi Mohammed -  Department of physics, Faculty of Sciences and Technologies, University Hassan 1st, Settat, Morocco
Ait Sidi Mou Abdelaziz -  Department of Chemistry, Faculty of Sciences and Technologies, University Hassan 2nd, Mohammedia, Morocco
Elkhomri Mohammed -  Department of chemistry, Faculty of Sciences, University Ibn Zohr, Agadir, Morocco
Elkhouzai Elmostapha -  Department of Physics, Faculty of Sciences and Technologies, University Hassan 1st, Settat, Morocco
Received: 6 May 2019; Revised: 5 Oct 2019; Accepted: 15 Oct 2019; Published: 27 Oct 2019; Available online: 30 Oct 2019.
Open Access Copyright (c) 2019 International Journal of Renewable Energy Development
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Section: Original Research Article
Language: EN
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In Vol 8, No 3 (2019): October 2019
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Abstract
This paper presents the wind energy potential at 10 m during a period of 09 years (2009-2017) in the province of Zagora using the Weibull distribution method. Extrapolation of the 10 m data, using the power Law, has been used to determine the wind data at heights of 30 m; 50 m and 70 m. The objective is to evaluate the most important characteristics of wind energy in the studied site . The statistical attitudes permit us to estimate the mean wind speed, the wind speed distribution function and the mean wind power density in the site at the height of 30 m; 50 m and 70 m. From the primary evaluation indicate that the annual energy output and capacity factor increases with increasing the wind speed, it can obtain about 2.62 GWh/year, that is acceptable quantity for the wind energy. ©2019. CBIORE-IJRED. All rights reserved
Keywords
Wind speed; Weibull distribution; Wind turbine; Power density; Zagora

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