Conclusion and Reference
Deciding whether investment would turn out useful or not for a planned wind plant in any region can be determined with the help of wind speed data measured for that region. Consequently allocation of the wind speeds in that area is inquired for extended years. Since wind speeds are defined as haphazard events, it is predictable to fit the data into a probability distribution. Hence the distribution to which the wind speed is appropriate, is considered.
Thus wind speeds in the largest part of the world can be prototyped using the Weibull Distribution. This statistical instrument informs us as to how often winds of diverse speeds can be found at a site with a certain mean wind speed. This will help us to select a wind turbine with the most favorable cut-in speed, which is otherwise the speed of the wind at which the turbine begins to generate usable power, and the cut-out speed, which is the wind speed at which the turbine attains the maximum value of its generator and can no more bring out modified power production with additional gains in wind speed.
The Energy Groove - Energy and Cost Calculations – Wind Turbines
Rosa, A. V., “Fundamental of Renewable Energy Process", Amsterdam: Elsevier Inc.
Celik A.N. A statistical analysis of wind power density based on the Weibull and Raleigh models at the southern region of Turkey. Renewable Energy, vol.29, no.4, pp.593–604.