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Alam, M.S. and Gao, D.W. (2007) Modeling and Analysis of a Wind/PV/Fuel Cell Hybrid Power System in Homer. 2007 2nd IEEE Conference on Industrial Electronics and Applications, Harbin, 23-25 May 2007, 1594-1599.
https://doi.org/10.1109/iciea.2007.4318677

has been cited by the following article:

• TITLE: Prediction of Wind Potential by Mathematical Methods: Application to the City of Mongo in CHAD

  AUTHORS: Ali Ramadan Ali, Moussa Ali Abdoulaye, Ahmat Idriss Hassan Gogo, Abakar Mahamat Tahir

  KEYWORDS: Wind Potential, Weibull Distribution, Extrapolation Method, Power Conditioning

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.15 No.2, February 17, 2025

  ABSTRACT: Understanding the wind power potential of a site is essential for designing an optimal wind power conditioning system. The Weibull distribution and wind speed extrapolation methods are powerful mathematical tools for efficiently predicting the frequency distribution of wind speeds at a site. Hourly wind speed and direction data were collected from the National Aeronautics and Space Administration (NASA) website for the period 2013 to 2023. MATLAB software was used to calculate the distribution parameters using the graphical method and to plot the corresponding curves, while WRPLOTView software was used to construct the wind rose. The average wind speed obtained is 3.33 m/s and can reach up to 5.71 m/s at a height of 100 meters. The wind energy is estimated to be 1315.30 kWh/m2 at a height of 100 meters. The wind rose indicates the prevailing winds (ranging from 3.60 m/s to 5.70 m/s) in the northeast-east direction.