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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Main Authors: Al-Salem Khaled, Al-Nassar Waleed
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:E3S Web of Conferences
Online Access:https://doi.org/10.1051/e3sconf/20185101001
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spelling 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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