Assessment of wind energy potential at Kuwaiti Islands by statistical analysis of wind speed data
Kuwait possesses a potential of renewable energy, such as solar and wind energy. Wind energy is an alternative clean energy source compared to fossil fuel, which pollute the lower layer of the atmosphere. In this study, statistical methods are used to analyze the wind speed data at Mubarak port (at...
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2018-01-01
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Online Access: | https://doi.org/10.1051/e3sconf/20185101001 |
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doaj-84262a287c394c2c97eecc398f7ea3b62021-03-02T07:34:17ZengEDP SciencesE3S Web of Conferences2267-12422018-01-01510100110.1051/e3sconf/20185101001e3sconf_icacer2018_01001Assessment of wind energy potential at Kuwaiti Islands by statistical analysis of wind speed dataAl-Salem KhaledAl-Nassar WaleedKuwait possesses a potential of renewable energy, such as solar and wind energy. Wind energy is an alternative clean energy source compared to fossil fuel, which pollute the lower layer of the atmosphere. In this study, statistical methods are used to analyze the wind speed data at Mubarak port (at Bubiyan Island), Failaka Island and Um-AlMaradim Island; which are located respectively in the north, mid and south of Kuwait territorial waters. Wind speed is the most important parameter in the design and study of wind energy conversion systems. The wind speed data were obtained from the Costal Information System Database (CIS) at Kuwait Institute for Scientific Research [1, 2 and 3]over a thirty seven years period, 1979 to 2015. In the present study, the wind energy potential of the locations was statistically analyzed based on wind speed data, over a period of thirty seven years. The probability distributions are derived from the wind data and their distributional parameters are identified. Two probability density functions are fitted to the probability distributions on a yearly basis. The wind energy potential of the locations was studied based on the Weibull and the Rayleigh models.https://doi.org/10.1051/e3sconf/20185101001 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Al-Salem Khaled Al-Nassar Waleed |
spellingShingle |
Al-Salem Khaled Al-Nassar Waleed Assessment of wind energy potential at Kuwaiti Islands by statistical analysis of wind speed data E3S Web of Conferences |
author_facet |
Al-Salem Khaled Al-Nassar Waleed |
author_sort |
Al-Salem Khaled |
title |
Assessment of wind energy potential at Kuwaiti Islands by statistical analysis of wind speed data |
title_short |
Assessment of wind energy potential at Kuwaiti Islands by statistical analysis of wind speed data |
title_full |
Assessment of wind energy potential at Kuwaiti Islands by statistical analysis of wind speed data |
title_fullStr |
Assessment of wind energy potential at Kuwaiti Islands by statistical analysis of wind speed data |
title_full_unstemmed |
Assessment of wind energy potential at Kuwaiti Islands by statistical analysis of wind speed data |
title_sort |
assessment of wind energy potential at kuwaiti islands by statistical analysis of wind speed data |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2018-01-01 |
description |
Kuwait possesses a potential of renewable energy, such as solar and wind energy. Wind energy is an alternative clean energy source compared to fossil fuel, which pollute the lower layer of the atmosphere. In this study, statistical methods are used to analyze the wind speed data at Mubarak port (at Bubiyan Island), Failaka Island and Um-AlMaradim Island; which are located respectively in the north, mid and south of Kuwait territorial waters. Wind speed is the most important parameter in the design and study of wind energy conversion systems. The wind speed data were obtained from the Costal Information System Database (CIS) at Kuwait Institute for Scientific Research [1, 2 and 3]over a thirty seven years period, 1979 to 2015. In the present study, the wind energy potential of the locations was statistically analyzed based on wind speed data, over a period of thirty seven years. The probability distributions are derived from the wind data and their distributional parameters are identified. Two probability density functions are fitted to the probability distributions on a yearly basis. The wind energy potential of the locations was studied based on the Weibull and the Rayleigh models. |
url |
https://doi.org/10.1051/e3sconf/20185101001 |
work_keys_str_mv |
AT alsalemkhaled assessmentofwindenergypotentialatkuwaitiislandsbystatisticalanalysisofwindspeeddata AT alnassarwaleed assessmentofwindenergypotentialatkuwaitiislandsbystatisticalanalysisofwindspeeddata |
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1724241306761297920 |