@InProceedings{FaveraScMaCeLuPe:2011:CoWiSt,
author = "Favera, Alexandre Ceretta Dalla and Schuch, Nelson Jorge and
Martins, Fernando Ramos and Ceconi, Marcio and Luiz, Eduardo Weide
and Pereira, Enio Bueno",
affiliation = "{Engenharia Qu{\'{\i}}mica. Centro de Tecnologia – CT/UFSM.
Universidade Federal de Santa Maria – UFSM} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {} and {} and {Instituto Nacional
de Pesquisas Espaciais (INPE)}",
title = "Comparative Winds Statistical Distributions Study for the Central
Southern Region of Brazil",
booktitle = "Proceedings...",
year = "2011",
organization = "International Congress of Brazilian Geophysical Society, 12.",
publisher = "Sociedade Brasileira de Geof{\'{\i}}sica",
note = "Setores de Atividade: Pesquisa e desenvolvimento
cient{\'{\i}}fico, Educa{\c{c}}{\~a}o, Eletricidade, g{\'a}s
e outras utilidades.",
keywords = "Ventos, Energia E{\'o}lica, Modelagem num{\'e}rica,
Distribui{\c{c}}{\~a}o Weibull, Sensoriamento Remoto, Projeto
SONDA.",
abstract = "The industrial and social development of a country requires large
amounts of energy, particularly electricity. To follow the
development with an efficient power grid, the human society has
sought alternative energy sources that are economically and
ecologically viable. The wind energy is one of such alternatives.
However, the deployment of wind farms requires a previous study of
the winds statistical profile in the region of interest. With this
in mind, this work performs an analysis of three different
statistical distributions to see which best fits the wind profile
in the Central Region of the South of Brazil. The Weibull, Log
Normal and Rayleigh statistical distribution were studied and
compared with the values of wind speed collected at 50 meters from
the SONDA site operating in S{\~a}o Martinho da Serra, RS in the
Southern Space Observatory - OES/CRS/CCR/INPEMCT. The analysis was
performed between 2005 and 2009 showed that among the three
distributions, the Weibull presents the best correlation and the
smaller errors, MBE and RMSE.",
conference-location = "Rio de Janeiro",
conference-year = "15-18 Aug",
label = "lattes: 9012359647335296 3 FaveraScMaCeLuPe:2011:CoWiSt",
language = "pt",
urlaccessdate = "19 maio 2024"
}