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IJSTR >> Volume 8 - Issue 10, October 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Statistical Analysis Of Wind Energy Prediction On The Basis Of Weibull Parameters

[Full Text]

 

AUTHOR(S)

Somya Tiwari, Neha Gupta

 

KEYWORDS

Scale parameters, shape parameter, Weibull parameters, Weibull probability function, wind energy, wind power density, wind speed,

 

ABSTRACT

Wind energy potential can be assess using Weibull parameters. Weibull parameters are shape and scale parameters which gives best fit values for prediction of wind energy. In this research we are considering four methods namely Least square regression method (LSRM), Energy pattern factor method (EPFM), Method of moments (MOM) and Empirical method. One year complete data of wind speed at site Baderan of Bikaner Rajasthan, India on the interval of 10 minutes was analyzed and converted into required format of monthly average data. Standard deviation of this data series was arrived upon. With the help of Weibull parameters Weibull probability function and cumulative density function was derived. Considering mean wind speed and Weibull parameters wind power density on actual and Weibull methods was decided. Data clearly indicates that May is the month of maximum wind power density whereas November was with least. Data & statistical analysis throws a distinct feature of the site having good potential for harnessing wind energy.

 

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