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Analysis of Wind Speed Data and Annual Energy Potential at Three locations in Iraq

by Ali M. Rasham
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 137 - Number 11
Year of Publication: 2016
Authors: Ali M. Rasham
10.5120/ijca2016908862

Ali M. Rasham . Analysis of Wind Speed Data and Annual Energy Potential at Three locations in Iraq. International Journal of Computer Applications. 137, 11 ( March 2016), 5-16. DOI=10.5120/ijca2016908862

@article{ 10.5120/ijca2016908862,
author = { Ali M. Rasham },
title = { Analysis of Wind Speed Data and Annual Energy Potential at Three locations in Iraq },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 137 },
number = { 11 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 5-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume137/number11/24317-2016908862/ },
doi = { 10.5120/ijca2016908862 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:38:26.155491+05:30
%A Ali M. Rasham
%T Analysis of Wind Speed Data and Annual Energy Potential at Three locations in Iraq
%J International Journal of Computer Applications
%@ 0975-8887
%V 137
%N 11
%P 5-16
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Analysis of wind speed data and annual wind energy potential at three selected sites in Iraq has been investigated in this study. The wind speed data was collected from the Weather Underground Organization (WUO) at stations elevation. Extrapolation of stations elevations used to estimate the wind velocities at 60 m, 90 m, and 120 m via wind shear law. The objectives were to analysis of wind speed data and to assess the wind energy potential for the selected sites. Computer code for MATLAB software has been developed and written to solve mathematical model. Results in the form of the measured and Weibull estimated of monthly and annual average of wind velocities (V ̅), wind shear, wind velocity carrying maximum energy (VmE), most probable wind velocity (Vmp), probability density function (PDF), cumulative distribution function (CDF), monthly and annual wind power density (WPD) and wind energy density (WED) were presents. At stations elevation, the (WED) was the best for Basrah, Amarah, and Nasiriyah respectively and the selected sites are suitable for off grid applications. While at selected heights it was best for Basrah, Nasiriyah, and Amarah respectively. Basrah at (60, 90, 120 m) and Nasiriyah at (120) are acceptable for connecting to power grid.

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Index Terms

Computer Science
Information Sciences

Keywords

Weibull distribution assessment of wind resource Wind energy potential Analysis of wind speed data.

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