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Assessment of Wind Power Potentials in Chittagong, Bangladesh Using Weibull Distribution Function

Wind resource assessment is a key stage in planning for a wind energy project to predict the output power. Therefore, a full understanding of the wind characteristics at the potential site is required. This study examines the potential wind power of twelve meteorological stations in the Chittagong d...

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Main Authors: Tarik Aziz Patwary, Tarik Aziz Patwary, Djamal Hissein Didane, Djamal Hissein Didane, Sami Al-Alimi, Sami Al-Alimi, Yazid Abdullsameea Mohammed Saif, Yazid Abdullsameea Mohammed Saif, Bukhari Manshoor, Bukhari Manshoor
Format: Article
Language:English
Published: semarak ilmu 2023
Subjects:
T Technology (General)
Online Access:http://eprints.uthm.edu.my/10710/1/J16134_89c1c428ddc38a8677916d49c54c6691.pdf
http://eprints.uthm.edu.my/10710/
https://doi.org/10.37934/arfmts.105.1.154165
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spelling my.uthm.eprints.107102024-01-15T07:37:06Z http://eprints.uthm.edu.my/10710/ Assessment of Wind Power Potentials in Chittagong, Bangladesh Using Weibull Distribution Function Tarik Aziz Patwary, Tarik Aziz Patwary Djamal Hissein Didane, Djamal Hissein Didane Sami Al-Alimi, Sami Al-Alimi Yazid Abdullsameea Mohammed Saif, Yazid Abdullsameea Mohammed Saif Bukhari Manshoor, Bukhari Manshoor T Technology (General) Wind resource assessment is a key stage in planning for a wind energy project to predict the output power. Therefore, a full understanding of the wind characteristics at the potential site is required. This study examines the potential wind power of twelve meteorological stations in the Chittagong division over a tenure of ten-year ranges from 2010 to 2019. The statistical analyzer as the Weibull two-parameter distribution method has been utilized to determine the characteristics of wind speed and wind energy potential at the selected locations. The "WRPLOT" software has also been used to display the wind direction and the corresponding wind speed direction. Among these stations, Ambagan has a high wind factor, ranging from 2.1 to 3.2 m/s. The highest wind speed for Ambagan station was recorded in April (3.26 m/s) and the lowest was in November (1.06 m/s) compared to other selected stations. The Weibull form parameter (k) and scale parameter (c) at Ambagan station had the highest values of 1.5 and 3.5 m/s, respectively. With additional analysis and observation of these parameters, it became possible to predict the location in Chittagong with the greatest wind energy potential. In terms of wind direction, the prevailing wind direction of all stations is generally in the south. Furthermore, the results concluded that all of the analyzed parameters considered for wind behavior were numerically higher for Ambagan in contrast to other stations of the Chittagong division. This study clearly indicates that the Ambagan station should be used to maximize the potential of wind energy to attain the future goals of sustainable development for Bangladesh. semarak ilmu 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/10710/1/J16134_89c1c428ddc38a8677916d49c54c6691.pdf Tarik Aziz Patwary, Tarik Aziz Patwary and Djamal Hissein Didane, Djamal Hissein Didane and Sami Al-Alimi, Sami Al-Alimi and Yazid Abdullsameea Mohammed Saif, Yazid Abdullsameea Mohammed Saif and Bukhari Manshoor, Bukhari Manshoor (2023) Assessment of Wind Power Potentials in Chittagong, Bangladesh Using Weibull Distribution Function. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 105 (1). pp. 154-165. ISSN 2289-7879 https://doi.org/10.37934/arfmts.105.1.154165
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Tarik Aziz Patwary, Tarik Aziz Patwary
Djamal Hissein Didane, Djamal Hissein Didane
Sami Al-Alimi, Sami Al-Alimi
Yazid Abdullsameea Mohammed Saif, Yazid Abdullsameea Mohammed Saif
Bukhari Manshoor, Bukhari Manshoor
Assessment of Wind Power Potentials in Chittagong, Bangladesh Using Weibull Distribution Function
description Wind resource assessment is a key stage in planning for a wind energy project to predict the output power. Therefore, a full understanding of the wind characteristics at the potential site is required. This study examines the potential wind power of twelve meteorological stations in the Chittagong division over a tenure of ten-year ranges from 2010 to 2019. The statistical analyzer as the Weibull two-parameter distribution method has been utilized to determine the characteristics of wind speed and wind energy potential at the selected locations. The "WRPLOT" software has also been used to display the wind direction and the corresponding wind speed direction. Among these stations, Ambagan has a high wind factor, ranging from 2.1 to 3.2 m/s. The highest wind speed for Ambagan station was recorded in April (3.26 m/s) and the lowest was in November (1.06 m/s) compared to other selected stations. The Weibull form parameter (k) and scale parameter (c) at Ambagan station had the highest values of 1.5 and 3.5 m/s, respectively. With additional analysis and observation of these parameters, it became possible to predict the location in Chittagong with the greatest wind energy potential. In terms of wind direction, the prevailing wind direction of all stations is generally in the south. Furthermore, the results concluded that all of the analyzed parameters considered for wind behavior were numerically higher for Ambagan in contrast to other stations of the Chittagong division. This study clearly indicates that the Ambagan station should be used to maximize the potential of wind energy to attain the future goals of sustainable development for Bangladesh.
format Article
author Tarik Aziz Patwary, Tarik Aziz Patwary
Djamal Hissein Didane, Djamal Hissein Didane
Sami Al-Alimi, Sami Al-Alimi
Yazid Abdullsameea Mohammed Saif, Yazid Abdullsameea Mohammed Saif
Bukhari Manshoor, Bukhari Manshoor
author_facet Tarik Aziz Patwary, Tarik Aziz Patwary
Djamal Hissein Didane, Djamal Hissein Didane
Sami Al-Alimi, Sami Al-Alimi
Yazid Abdullsameea Mohammed Saif, Yazid Abdullsameea Mohammed Saif
Bukhari Manshoor, Bukhari Manshoor
author_sort Tarik Aziz Patwary, Tarik Aziz Patwary
title Assessment of Wind Power Potentials in Chittagong, Bangladesh Using Weibull Distribution Function
title_short Assessment of Wind Power Potentials in Chittagong, Bangladesh Using Weibull Distribution Function
title_full Assessment of Wind Power Potentials in Chittagong, Bangladesh Using Weibull Distribution Function
title_fullStr Assessment of Wind Power Potentials in Chittagong, Bangladesh Using Weibull Distribution Function
title_full_unstemmed Assessment of Wind Power Potentials in Chittagong, Bangladesh Using Weibull Distribution Function
title_sort assessment of wind power potentials in chittagong, bangladesh using weibull distribution function
publisher semarak ilmu
publishDate 2023
url http://eprints.uthm.edu.my/10710/1/J16134_89c1c428ddc38a8677916d49c54c6691.pdf
http://eprints.uthm.edu.my/10710/
https://doi.org/10.37934/arfmts.105.1.154165
_version_ 1789427612191293440
score 13.211869

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