Statistical Wind Data Analysis Based on Weibull Distribution Function for Partial Utility in Agricultural Application (Case Study: Broujerd Province, Iran)

AbstractThe study presents the statistical analysis of wind data in Broujerd, Iran during a period of ۱۰ years (۲۰۱۲-۲۰۲۱). The wind data have been registered by three-hour intervals at the height of ۱۰ m and it has been taken up a study entitled statistical wind data analysis. In this paper, weibull distribution function has been obtained from the wind data. Two important parameters such as waybill's shape factor and scale factor have also been determined by two methods including the maximum likelihood and least square methods. Judgment criterion for Goodness of fit was performed by chi-square test. The wind speed distribution is represented by the typical two-parameter weibull distribution function for all the months except the ۹th month of the year (September). Thus, four-parameter weibull distribution function has been developed to analyze the wind speed frequency distribution for September. The diurnal wind speed curves and wind frequency rose have been drawn and analyzed. Also, mean wind speed and density were calculated. The American schedule classification of wind speed was used to determine the wind speed class. It is found that wind speed has the cycle variation. Peak of wind speed occurs ۳ times a day with ۸-hour intervals. These peaks are around ۵, ۱۲ and ۲۱ GMT. Also the prevailing winds in the region are the winds that blow from the southeast to northwest with some deviation around it and the mean wind speed in winters is greater than for other seasons.

Statistical Wind Data Analysis Based on Weibull Distribution Function for Partial Utility in Agricultural Application (Case Study: Broujerd Province, Iran) Keywords:

Keywords: Weibull distribution function , Wind direction , Wind power density , Wind speed