Statistical analysis of wind speed data at Mersing, Malaysia using Weibull distribution parameters

Analysis wind data characteristics and accurate wind power potential assessment at a specified location is an important criterion prior to deciding on installing the wind energy and evaluating plans to relate these projects with the electrical power grid. In this paper, statistical methods are used...

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Main Authors: Kadhem, Athraa Ali, Abdul Wahab, Noor Izzri, Aris, Ishak, Jasni, Jasronita, Abdalla, Ahmed N.
Format: Conference or Workshop Item
Language:English
Published: 2017
Online Access:http://psasir.upm.edu.my/id/eprint/64386/1/ENG%20%26%20New%20Tech%20Oral%20111117%2031.pdf
http://psasir.upm.edu.my/id/eprint/64386/
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Institution: Universiti Putra Malaysia
Language: English
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spelling my.upm.eprints.643862018-07-05T09:23:02Z http://psasir.upm.edu.my/id/eprint/64386/ Statistical analysis of wind speed data at Mersing, Malaysia using Weibull distribution parameters Kadhem, Athraa Ali Abdul Wahab, Noor Izzri Aris, Ishak Jasni, Jasronita Abdalla, Ahmed N. Analysis wind data characteristics and accurate wind power potential assessment at a specified location is an important criterion prior to deciding on installing the wind energy and evaluating plans to relate these projects with the electrical power grid. In this paper, statistical methods are used to analyze the wind speed data at a selected site in Malaysia namely, Mersing. The present analysis is carried out for two hub heights of 43.6 m and 100 m using Weibull parameters based on hourly wind speed data of the selected site. From the analysis, it has been found that the annual most probable wind speeds are 2.58 m/s and 3.91 m/s and the wind speed for carried a maximum energy are 4.49 m/s and 6.80 m/s for regarded heights respectively. While the annual mean energy density varies from 213.48 kWh/m2 and 741.05 kWh/m2 at height of 43.6 m and 100 m respectively. The wind turbine model is also suggested based on the annual energy output and capacity factor. 2017 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/64386/1/ENG%20%26%20New%20Tech%20Oral%20111117%2031.pdf Kadhem, Athraa Ali and Abdul Wahab, Noor Izzri and Aris, Ishak and Jasni, Jasronita and Abdalla, Ahmed N. (2017) Statistical analysis of wind speed data at Mersing, Malaysia using Weibull distribution parameters. In: 5th International Symposium on Applied Engineering and Sciences (SAES2017), 14-15 Nov. 2017, Universiti Putra Malaysia. (p. 31).
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Analysis wind data characteristics and accurate wind power potential assessment at a specified location is an important criterion prior to deciding on installing the wind energy and evaluating plans to relate these projects with the electrical power grid. In this paper, statistical methods are used to analyze the wind speed data at a selected site in Malaysia namely, Mersing. The present analysis is carried out for two hub heights of 43.6 m and 100 m using Weibull parameters based on hourly wind speed data of the selected site. From the analysis, it has been found that the annual most probable wind speeds are 2.58 m/s and 3.91 m/s and the wind speed for carried a maximum energy are 4.49 m/s and 6.80 m/s for regarded heights respectively. While the annual mean energy density varies from 213.48 kWh/m2 and 741.05 kWh/m2 at height of 43.6 m and 100 m respectively. The wind turbine model is also suggested based on the annual energy output and capacity factor.
format Conference or Workshop Item
author Kadhem, Athraa Ali
Abdul Wahab, Noor Izzri
Aris, Ishak
Jasni, Jasronita
Abdalla, Ahmed N.
spellingShingle Kadhem, Athraa Ali
Abdul Wahab, Noor Izzri
Aris, Ishak
Jasni, Jasronita
Abdalla, Ahmed N.
Statistical analysis of wind speed data at Mersing, Malaysia using Weibull distribution parameters
author_facet Kadhem, Athraa Ali
Abdul Wahab, Noor Izzri
Aris, Ishak
Jasni, Jasronita
Abdalla, Ahmed N.
author_sort Kadhem, Athraa Ali
title Statistical analysis of wind speed data at Mersing, Malaysia using Weibull distribution parameters
title_short Statistical analysis of wind speed data at Mersing, Malaysia using Weibull distribution parameters
title_full Statistical analysis of wind speed data at Mersing, Malaysia using Weibull distribution parameters
title_fullStr Statistical analysis of wind speed data at Mersing, Malaysia using Weibull distribution parameters
title_full_unstemmed Statistical analysis of wind speed data at Mersing, Malaysia using Weibull distribution parameters
title_sort statistical analysis of wind speed data at mersing, malaysia using weibull distribution parameters
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/64386/1/ENG%20%26%20New%20Tech%20Oral%20111117%2031.pdf
http://psasir.upm.edu.my/id/eprint/64386/
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