WIND VELOCITY FORECAST USING WRF MODEL ON THE CENTRAL REGION OF ALAGOAS STATE (BRAZIL)

The PVPN project (Previsão do Vento em Parques Eólicos no Nordeste Brasileiro “Wind forecast for wind farms in the Brazilian Northeast”) has been made aiming to developing a methodology for the prediction of short and medium-term wind energy in wind farms, proper Brazilian Northeast. This paper pres...

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Detalhes bibliográficos
Autores: Lyra, Roberto Fernando da Fonseca, Silva Junior, Rosiberto Salustiano da, Moura, Marcos Antonio Lima, Amorim, Marney Chaves de Aragão Lisboa
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2016
País:Brasil
Recursos:Universidade Federal de Santa Maria (UFSM)
Repositório:Revista Ciência e Natura (Online)
Idioma:português
OAI Identifier:oai:ojs.pkp.sfu.ca:article/20273
Acesso em linha:https://periodicos.ufsm.br/cienciaenatura/article/view/20273
Access Level:Acceso aberto
Palavra-chave:Wind. Wind power. Atmospherics models.
Vento. Energia Eólica. Modelos Atmosféricos.
Descrição
Resumo:The PVPN project (Previsão do Vento em Parques Eólicos no Nordeste Brasileiro “Wind forecast for wind farms in the Brazilian Northeast”) has been made aiming to developing a methodology for the prediction of short and medium-term wind energy in wind farms, proper Brazilian Northeast. This paper presents results from an intensive campaign, which, wind velocity and micrometeorological measurements including turbulence are made. Estimates made by the WRF model for the wind velocity were compared with friction velocity and the fluxes (sensible heat and latent heat). The results showed that the model represented well the daily cycles of the four variables with correlation coefficients between 0.79 and 0.94. The estimation of the wind velocity were very good with a difference of only 10.55%. The estimate of the remaining variables was bad to reasonable.