VARIABILIDADE DO VENTO E POTENCIAL PARA ENERGIA EÓLICA OFFSHORE NO LITORAL SUL DO BRASIL
WRF, Blended Sea Winds, South Atlantic Subtropical High, wind energy, complementarity.
Southern Brazil is the second region which most generates wind power in the country and its capacity could further increase if offshore resources would also be explored to this end. Offshore wind power generation is expanding in several regions of the globe but in Brazil, particularly in its southern portion, prospection studies are still scarce for this modality. In this context, the present study aims to assess wind variability and power density (PD) simulated by the Weather Research and Forecasting Model (WRF) in the Southern Brazil, focusing on the offshore region. For this, the simulations results were compared with data from the Blended Sea Winds (BSW) product from the National Environmental Satellite, Data and Information Service of the National Oceanic and Atmospheric Administration. The numerical experiment was carried out during a 5-year period, between 00UTC of 01/01/2006 until 00UTC of 31/12/2010. The domain has a total of 340 grid points in the zonal direction, 180 points in the meridional direction and 35 vertical layers with the top set at 50 hPa. This area comprehends the entirety of the Southern region of Brazil (Paraná, Santa Catarina and Rio Grande do Sul states), Uruguay and part of the Pacific and Atlantic Oceans. The WRF model was able to fairly accurately reproduce the position and intensity variability of the South Atlantic Subtropical High. Simulated wind speed values presented mean seasonal values equivalent to observed values in 98% of the seasonal periods and simulated PD in 90% of them. The possibility of hydro-wind complementarity in the region was also observed. In conclusion, it was found that it is possible to use the WRF model can be used as a tool to evaluate the potential for wind power generation in the Southern Brazil region. On the other hand, the model did not perform well in simulating wind in the regions near the Brazil and Falklands Currents. This shortcoming may be corrected by coupling the WRF with an oceanic model and using parameterizations which more adequately represent turbulence in the planetary boundary layer.