DIURNAL VARIATION OF NEAR-SURFACE WIND SPEED: MULTIFRACTAL ANALYSIS

Tatijana Stosic, Antonio Samuel Alves Da Silva, Borko Stosic and Romã Rio Jos㉠Dos Santos
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Tatijana Stosic: Department of Statistics and Informatics, Postgraduate Program in Biometrics and Applied Statistics, Federal Rural University of Pernambuco, Dom Manoel de Medeiros Street, Dois Irmãos, 52171-900 Recife/PE, Brazil
Antonio Samuel Alves Da Silva: Department of Statistics and Informatics, Postgraduate Program in Biometrics and Applied Statistics, Federal Rural University of Pernambuco, Dom Manoel de Medeiros Street, Dois Irmãos, 52171-900 Recife/PE, Brazil
Borko Stosic: Department of Statistics and Informatics, Postgraduate Program in Biometrics and Applied Statistics, Federal Rural University of Pernambuco, Dom Manoel de Medeiros Street, Dois Irmãos, 52171-900 Recife/PE, Brazil
Romã Rio Jos㉠Dos Santos: Department of Physics, Postgraduate Program in Applied Physics, Federal Rural University of Pernambuco, Dom Manoel de Medeiros Street, Dois Irmãos 52171-900 Recife/PE, Brazil

FRACTALS (fractals), 2025, vol. 33, issue 09, 1-13

Abstract: In this work, we analyze the diurnal variation of multifractal properties of wind speed. We applied Multifractal detrended fluctuation analysis (MFDFA) on hourly wind speed records from two stations in the Brazilian state of Pernambuco, one at coastal and one at inland location. For the period from 2011 to 2018, we constructed 24 daily series (one for each hour of day, 0–23 h) and calculated the parameters of the multifractal spectrum f(α): the position of the maximum α0, spectrum width W and skewness r, which quantify the persistence, degree of multifractality and contribution of small/large fluctuations, respectively. We found that these properties exhibit diurnal variation, which is related to the diurnal variation of wind speed, being more consistent for inland Petrolina station, in the region that is considered to be one of the most promising for wind energy generation. For this station, wind speed shows stronger persistence (higher α0 values) and weaker multifractality (lower W values) during the daytime when wind speed is higher. This indicates that the diurnal variation of the complexity (evaluated as multifractality) of wind speed dynamics could be used as additional information, along with wind speed, to identify the periods during the day when conditions for wind energy generation are most favorable (satisfying both, high wind potential and more stable wind dynamics).

Keywords: Wind Speed; Multifractality; Diurnal Variation (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S0218348X25300107

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