Title :
Statistical analysis of wind speed data using Weibull distribution parameters
Author :
Chauhan, Anamika ; Saini, R.P.
Author_Institution :
Alternate Hydro Energy Centre, IIT Roorkee, Roorkee, India
Abstract :
Wind speed is the most significant parameter for designing wind energy conversion system. In the present paper, statistical methods are used to analyze the wind speed data of the site Harshnath, situated in the Sikar district of the Indian state Rajasthan. Present analysis is carried out for two hub heights of 25 m and 65 m using Weibull distribution parameters based on monthly mean wind speed data of the selected location. From the analysis, it has been found that most probable wind speeds are 5.881 and 6.775 m/s and wind speed for maximum energy are 6.630 m/s and 7.439 m/s for considered hub heights respectively. The site has annual mean energy density of 110.006 kWh/m2 and 160.430 kWh/m2 at hub height of 25 m and 65 m respectively. Wind turbine model is also suggested based on capacity factor and annual mean energy output.
Keywords :
Weibull distribution; data analysis; statistical analysis; wind; wind power; wind turbines; Harshnath; Indian state; Rajasthan; Sikar district; Weibull distribution parameters; annual mean energy output; capacity factor; hub height; size 25 m; size 65 m; statistical analysis; statistical method; velocity 5.881 m/s; velocity 6.63 m/s; velocity 6.775 m/s; velocity 7.439 m/s; wind energy conversion system design; wind speed data analysis; wind turbine model; Monitoring; Weibull distribution; Wind speed; capacity factor; energy density; hub height; mean energy output; wind energy conversion system;
Conference_Titel :
Non Conventional Energy (ICONCE), 2014 1st International Conference on
Conference_Location :
Kalyani
Print_ISBN :
978-1-4799-3339-6
DOI :
10.1109/ICONCE.2014.6808712
