Assessment and Comparison of Statistical Methods for Wind Characteristics Analysis in Different Locations in Southern Brazil for Small Generation Purposes

Authors

  • Gabriel Ranéa Federal University of ABC (UFABC)
  • João Vicente Akwa Federal University of ABC (UFABC)

Keywords:

Wind Characteristics, Energy Estimation, Weibull Distribution, Small Sized Generation

Abstract

The wind energy has gained importance in Brazil’s energy scenario as it spreads, and its installed capacity grows stronger every year. The scope of this research work is to evaluate and compare three different statistical wind assessment methods, wind characteristics and estimate the wind energy potential of six locations in southern Brazil to foment studies of small sized power generation. The wind speed data was adjusted with the two parameters of the Weibull distribution obtained using three different methods: the Moment Method (M.M.), the Power Density Method (P.D.M) and the Maximum Likelihood Method (M.L.M). Between these three methods, M.M.  provided the best compatibility results. P.D.M. and M.L.M. also provided results representative to the wind pattern of the analyzed locations. A wind direction analysis was also made to determine the predominant wind direction at each location. The location with the higher power density, with approximately 200 W/m² at 10 m height, is the coast of Rio Grande do Sul, where the Mostardas met mast is installed.

Vol.6, nº.2, December 2023

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Published

2023-12-21

How to Cite

Ranéa, G., & Akwa, J. V. (2023). Assessment and Comparison of Statistical Methods for Wind Characteristics Analysis in Different Locations in Southern Brazil for Small Generation Purposes. Journal of Production and Automation (JPAUT) ISSN 2595-9573, 6(2), 8–21. Retrieved from https://jpaut.com.br/index.php/jpaut/article/view/67