Material and MethodsSince wind is a vector quantity having direction and speed, it is subject to topographical and atmospheric changes. It is impossible to make an estimation of wind direction and wind speed at intervals in which wind speed is not reported. Moreover, this estimation is not error free. To reduce the impact of this error, the researcher took raw data from Tehran Meteorology Organization for a period of at least 20 years. The data reported wind direction and wind speed at Kerman synoptic stations for the consecutive years. Then wind data were converted from Knot to m/s (1 Knot=0.514 m/s).All the graphs, tables and data in the project were analyzed Using weibull distribution function, discontinuous wind data were substituted. This substitution has been applied through least square feet after computing weibull parameters C & K. Wind date were changed at 10 m height to 50 m by applying one seventh power law (50 m is the most height of turbines axis) and characteristics of both wind speed and wind power in each height has been computed.Due to wind power density equals 292.63 and 583.29 w/m 2 at 10 and 50 m height respectively, average wind speed equals 17.42 m/s at 50 m height, wind existence equals 7438.5 h/y, probability of wind blowing in the wind existence hours with speeds between 3 to 25 m/s equals 0.95, most probability of wind speed equals 7.77 m/s, the result show that Rafsanjan synoptic station is an ideal place having high wind energy potential. Application of wind energy at this synoptic station with automatic turbines working at the speed of 3 m/s at 50 m height axis and above has been economically efficient.