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Statistical analysis of wind gust at coastal sites of Bangladesh

journal contribution
posted on 2018-10-17, 00:00 authored by Md Abul Kalam AzadMd Abul Kalam Azad, MM Alam, IM Rafiqul
This paper presents a way of determining the strongest gusts in days with long-lasting, relatively strong wind at the Sitakunda. For searching the wind power potential in the coastal sites of Bangladesh for electricity generation, it has been found that Sitakunda has some unusual wind characteristics. The wind data has been statistically analyzed based on the 10 minutes interval measured wind speed data above 20 m height from the ground at four wind sites like Kuakata, Kutubdia, Khagrachari and Sitakunda in Bangladesh. The data has been shorted in the sequence of appropriate frequency like hourly, daily and monthly mean wind speed and wind gust are assessed to have remarkable variations. The Weibull distribution function has been derived from the available data with its two parameters like Weibull shape factor “k” and Weibull scale factor “c” which has been calculated by using three methods. In the irregular region of wind speed, the value of Weibull shape factor and Weibull scale factor was out of range. The wind gusts have been defined on the basis of the maximal mean hourly values of wind speed on the same day at Sitakunda. Long lasting hurricane class wind was found there and analyzed. This methodology is helpful for designing such as building construction, overhead power-transmission lines and site selection for a wind turbine.

History

Volume

3

Issue

1

Start Page

9

End Page

17

Number of Pages

9

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Bangladesh University of Engineering & Technology BUET; Kitami Institute of Technology, Japan

Era Eligible

  • Yes

Journal

International Journal of Energy Machinery

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