A Weibull Distribution Modified Using Fourier transformation

dr.taghreed Ali

lecturer

amani al-tmimi

Al-Khark University

Hala A.Abed

Mustansiriyah university

DOI: https://doi.org/10.47831/mjpas.v3i1.115

Keywords: Wind energy, Wind speed, Spectral distribution, Fourier series, Weibull distribution


Abstract

The newest energy source that is non-depleting, affordable, and easy to harness by various users is wind energy. One of the possible locations in Iraq for wind energy generation is Al-Shihabi  area, since there is a big lack of information regarding the power of at this location, additional studies and researches of wind are crucial. A precise planning and execution of any wind energy project requires a shared understanding of the behaviour of the wind.  This paper’s goal is to explore the potential for wind energy in Al-shihabi area, which is located south of Wassit, Iraq. Because of this, wind data were gathered for a year between December 2014 and December 2015 at heights of 10, 30, and 50 meters, in 10-minute intervals. After that, for the examination of datasets (the weibull-probability distribution function( was conducted in order to evaluate of the wind energy power, and the Fast-Fourier-Transform was employed for spectral analyses. Giving spectral analysis for the data, the average yearly wind speed at 50 m was 6.84 m/sec, and the peak wind speed was 185921.078 -m/sec/12hour at a frequency of (2 Hz) at that height throughout night hours. And for the lowest values of wind speed was about 95161.3369- m/sec/12hour for the (2 Hz) frequency at that height throughout night hours. The wind was blowing faster in the morning than it was at night. While the predominant wind directions in the region were from the north-northwest and west-northwest.