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<p>Wind is an important meteorological parameter in construction, agriculture, health, and energy. There is a need to characterize wind speed to better harness its energy and mitigate its impact. Multifractal detrended fluctuation and multifractal cross-correlation analysis of wind speed were conducted at two altitudes (50&#xa0;m and 100&#xa0;m) at a coastal location. Monthly and annual wind speeds measured at 30-minute intervals from January to December 2008 were obtained and analyzed for multifractality. Monthly wind speed at the location varied between 1.57–2.71 m/s and 2.25–4.17 m/s at 50&#xa0;m and 100&#xa0;m, respectively. The Weibull probability distribution function was found to be a better fit for wind speed at both heights compared to the Gamma distribution function. At Akure, multifractal analysis revealed the impact of land and sea breezes on wind speed. The monthly multifractal strength was found to be in the range of 0.07–0.27 and 0.72–2.11 at 50&#xa0;m and 100&#xa0;m, respectively. This study established multifractality in wind speed at two altitudes in a tropical location. The results can help to better understand patterns in wind speed at this altitude for modelling and prediction.</p>

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Wind energy characterization using multifractal formalism at two different altitudes in a tropical country

  • 期刊论文

  • 发表日期：

    2025年1月8日

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  • Samuel Ogunjo

摘要

Wind is an important meteorological parameter in construction, agriculture, health, and energy. There is a need to characterize wind speed to better harness its energy and mitigate its impact. Multifractal detrended fluctuation and multifractal cross-correlation analysis of wind speed were conducted at two altitudes (50 m and 100 m) at a coastal location. Monthly and annual wind speeds measured at 30-minute intervals from January to December 2008 were obtained and analyzed for multifractality. Monthly wind speed at the location varied between 1.57–2.71 m/s and 2.25–4.17 m/s at 50 m and 100 m, respectively. The Weibull probability distribution function was found to be a better fit for wind speed at both heights compared to the Gamma distribution function. At Akure, multifractal analysis revealed the impact of land and sea breezes on wind speed. The monthly multifractal strength was found to be in the range of 0.07–0.27 and 0.72–2.11 at 50 m and 100 m, respectively. This study established multifractality in wind speed at two altitudes in a tropical location. The results can help to better understand patterns in wind speed at this altitude for modelling and prediction.