Long-range correlations of the wind velocity in Salvador-BA

The use of wind energy has been increasingly adopted worldwide. In Brazil, the Northeast has been a strong investment option in the industry because recent wind maps have been made and show high attendance rates winds around its coastline and in some cases inside. Notwithstanding this great wind potential scenario, Brazil has this alternative source of energy with a low representation in its energy mix. Thus, in order to justify an increase in interest and reliability in this alternative source of energy, is presented in this paper a preliminary analysis of time series representing the intensity records and wind direction in fixed unit of data collection on the drive SENAI / CIMATEC in Salvador, Bahia. This analysis is done by Destrended Fluctution Analysis method (DFA). Using this method substantiates the viability of wind farms installations in the areas of collection, because it indicates the possibility of long-range correlation in the distribution of magnitudes analyzed what may prove the function of the constancy of the wind flow, and, with this, enable the facilities of wind turbines more efficiently and effectively. Preliminary results indicate that the number of local data is persistent in direction, speed and related thermodynamic quantities, which corroborates the feasibility of wind participation in local energy matrix.

Keywords: Renewable Sources. DFA. Complexity. Wind Energy.