2014Unpublished venueOpen access

Assessment of wind energy potential by Weibull distribution in isolated islands

A.K. Azad, M.G. Rasul, M. M. Mahbub Alam, S. M. Ameer Uddin, Sukanta K. Mondal

Open full text 5 citations

Abstract

In the study, the statistical fittings of wind speed distribution for isolated islands has been carried out. Ten years wind speed data has been collected from Bangladesh meteorological department. The data has been shorted in sequence of appropriate frequency like hourly, daily, monthly and annually mean wind speed. Two important parameters like Weibull shape factor “k” and Weibull scale factor “c” have been calculated by three methods such as Graphical method, Empirical method and Energy method. Accordingly, wind power density, availability factor and electrical energy output from the ideal turbine were assessed by using the Weibull parameters. From the analysis of the data the characteristics of wind pattern and potential of wind energy of the island has been carried out. Theoretical available power and practically extractable power by wind (watt/m2) have also been calculated. The proposed methodology can be used in any windy site to easily identify the potentiality of wind power.

About this research paper

What this paper is about

In the study, the statistical fittings of wind speed distribution for isolated islands has been carried out. Ten years wind speed data has been collected from Bangladesh meteorological department. The data has been shorted in sequence of appropriate frequency like hourly, daily, monthly and annually mean wind speed. Two important parameters like Weibull shape factor “k” and Weibull scale factor “c” have been calculated by three methods such as Graphical method, Empirical method and Energy method. Accordingly, wind power density, availability factor and electrical energy output from the ideal turbine were assessed by using the Weibull parameters. From the analysis of the data the characteristics of wind pattern and potential of wind energy of the island has been carried out. Theoretical available power and practically extractable power by wind (watt/m2) have also been calculated. The proposed methodology can be used in any windy site to easily identify the potentiality of wind power.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In the study, the statistical fittings of wind speed distribution for isolated islands has been carried out. Ten years wind speed data has been collected from Bangladesh meteorological department. The data has been shorted in sequence of appropriate frequency like hourly, daily, monthly and annually mean wind speed. Two important parameters like Weibull shape factor “k” and Weibull scale factor “c” have been calculated by three methods such as Graphical method, Empirical method and Energy method. Accordingly, wind power density, availability factor and electrical energy output from the ideal turbine were assessed by using the Weibull parameters. From the analysis of the data the characteristics of wind pattern and potential of wind energy of the island has been carried out. Theoretical available power and practically extractable power by wind (watt/m2) have also been calculated. The proposed methodology can be used in any windy site to easily identify the potentiality of wind power.

Key concepts: Weibull distribution, Wind power, Wind speed, Meteorology, Turbine, Environmental science, Energy (signal processing), Statistics

Related papers

Back to paper searchBrowse research topicsOriginal source
Assessment of wind energy potential by Weibull distribution in isolated islands — Research Paper | ScholarLens