@AudiovisualMaterial{LimaMartPere:2013:DaEnTo,
abstract = "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 Cear{\'a} 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.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
author = "Lima, Francisco Jos{\'e} Lopes de and Martins, Fernando Ramos and
Pereira, Enio Bueno",
city = "Toulouse, France",
conferencename = "International Conference of Energy and Meteorology, 2 (ICEM).",
date = "24-28 June, 2013",
keywords = "solar energy, wind energy, energy matrix, WRF model.",
label = "self-archiving-INPE-MCTI-GOV-BR",
language = "en",
publisher = "Instituto Nacional de Pesquisas Espaciais",
publisheraddress = "S{\~a}o Jos{\'e} dos Campos",
targetfile = "Poster-29.pdf",
title = "Data enhancement of topography and vegetation in wrf for high
resolution application for the forecast of solar and wind",
year = "2013",
urlaccessdate = "30 abr. 2024"
}