Wind speed and power density analysis based on Weibull and Rayleigh distributions (a case study: Firouzkooh county of Iran)

Type Journal Article - Renewable and Sustainable Energy Reviews
Title Wind speed and power density analysis based on Weibull and Rayleigh distributions (a case study: Firouzkooh county of Iran)
Author(s)
Volume 42
Publication (Day/Month/Year) 2015
Page numbers 313-322
URL https://www.researchgate.net/profile/Paria_Sefeedpari/publication/267572224_Wind_speed_and_power_den​sity_analysis_based_on_Weibull_and_Rayleigh_distributions_(a_case_study_Firouzkooh_county_of_Iran)/l​inks/559d3b0a08aec72001824793.pdf
Abstract
The present study aimed to analyze the wind speed data of Firouzkooh region. For this purpose, the wind
speed data for a 3-h period measuring over a 10-year period (2001–2010) were analyzed to calculate and
estimate the wind power generation potential. Similar trends of the wind speeds were seen in different
years where the highest and the lowest mean wind speeds belonged to May 2010 and June 2002,
respectively. The diurnal wind speed analysis demonstrated that the fastest winds blew from 6 am to
3 pm. Weibull and Rayleigh distribution functions were applied to find out the best fitting tool to the
wind speed data. Results showed that Weibull and Rayleigh distribution functions can fit the actual
values of wind speed well with almost the same coefficient of determination value (R2
) of 0.97. The
average values of wind power based on mean and root mean cube speed approaches were 203 and
248 W m2 year1
, respectively indicating that Firouzkooh region stands in class 4 (which is a suitable
area for wind turbine establishment). Finally, wind rose diagram revealed that the prevailing wind
direction falls in the sector between 1801 and 2701 clockwise from North.

Related studies

»