Nanotechnology and statistical analysis of wind speed and wind power density in Baghdad governorate
DOI:
https://doi.org/10.56053/10.S.1057Keywords:
Weibull distribution, Wind speed, Wind power, NanotechnologyAbstract
Wind speed data obtained at a height of 10 m in Baghdad (Iraq) during the study period 2022-2023 are evaluated and statistically analyzed using different distribution functions (Weibull, Rayleigh, Gamma). The study objectives included determining the best distribution function for the wind speed data, calculating wind energy and the wind density, confirming the wind energy potential of the study area, and the profitability of installing the anemometers. The coefficients of the distribution functions are determined using the Maximum Likelihood Method (MLM). These distributions are also evaluated using the root mean square error method. The results showed that the Weibull distribution function is the most suitable for analyzing the wind speed data compared to the Rayleigh and Gamma distribution functions. The study also found that while the highest wind energy rates are found in June, July, and August, the lowest wind energy rates and wind density rates are found in October, November, and September.
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