Estudo do potencial eólico e previsão de ventos para geração de eletricidade em Santa Catarina

by Dalmaz, Alessandro

Abstract (Summary)
This study is divided in two parts, in the first one the objective is the analysis of the main wind characteristics for in six places in the State of Santa Catarina aiming to determine the wind power for energy generation, in the second one, a study about wind speed and wind power forecast is made based on CPTEC / INPE Eta mesoscale meteorological model wind speed data. The first part of this study refers to a statistical treatment of wind speed data collected by CELESC, using the Weibull Distribution. The average speeds, regularity, and the main wind direction are determined, as well as capacity factor, FC, of the locations and the estimated power generation potential. In this study, the power generation data collected from the operating wind turbines are also analyzed. These data are compared with the results calculated from the measured wind speeds. In the second part of the study, the predicted data from Eta model, served as a basis for the training of artificial neural networks, through comparison with the measured CELESC data. Their capacity to forecast power generation and wind speed within 6h is evaluated. The wind power forecast will be more important with the growth of the electricity generation by wind power in Brazil. The results show that techniques of forecast by means of neural networks are feasible, although more in-depth studies are limited by the scarse availability of wind speed and direction data. The study about wind potential in the State of Santa Catarina shows that there are areas with wind characteristics for energy generation. Based on the results of this work, the best places in Santa Catarina is Laguna and Urubici with 0.40 and 0.34 for FC values, respectively, and wind velocity near to 8 m/s, despite the low value of Weibull shape factor, k, near to 1.8, and Água Doce with FC values near to 0.24, 6 m/s wind velocity and k factor near to 2.4 show adequate results for electricity generation. In the other places, estimates with WAsP aid show that, there are areas with FC greater than 0.30 in all analyzed places. The method developed in this study will be able to apply in other regions of the country, in spite of being a study perform in the State of Santa Catarina.
This document abstract is also available in Portuguese.
Bibliographical Information:

Advisor:Samuel Luna de Abreu; Júlio Cesar Passos; Sérgio Colle; Edson Bazzo; Miguel Hiroo Hirata

School:Universidade Federal de Santa Catarina

School Location:Brazil

Source Type:Master's Thesis

Keywords:energia eólica previsão dos ventos fontes alternativas elétrica produção engenharia mecanica


Date of Publication:03/08/2007

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