The use of solar and wind energy in the Brazilian energy matrix has been growing over the last decade. As a result knowledge on solar and wind resource is very important for the Brazilian energy planning power system management, and serving as a basis for the development of future projects of photovoltaic plants and solar energy utilization by different technologies. This work presents a methodology using the atmospheric mesoscale model WRF running in mode LES for the prediction of solar energy and wind speed for the State of Ceará by using data of topographic and vegetation in spatial resolution of 90 m and 460 m, respectively. The use of this high resolution aims at reducing uncertainties associated with misrepresentation of ground albedo and altitude and check the improvements on the reliability of wind speed and solar radiation estimates for power generation purposes in the Northeastern region of Brazil.
Redes Sociais