@Article{TuchtenhagenCMSOAAMLS:2020:WRMoAs,
author = "Tuchtenhagen, Patr{\'{\i}}cia and Carvalho, Gilvani Gomes de and
Martins, Guilherme and Silva, Pollyanne Evangelista da and
Oliveira, Cristiano Prestrelo de and Andrade, Lara de Melo Barbosa
and Ara{\'u}jo, Jo{\~a}o Medeiros de and Mutti, Pedro Rodrigues
and Lucio, Paulo Sergio and Silva, Claudio Mois es Santos e",
affiliation = "{Universidade Federal do Rio Grande do Norte (UFRN)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal
do Rio Grande do Norte (UFRN)} and {Universidade Federal do Rio
Grande do Norte (UFRN)} and {Universidade Federal do Rio Grande do
Norte (UFRN)} and {Universidade Federal do Rio Grande do Norte
(UFRN)} and {Universidade Federal do Rio Grande do Norte (UFRN)}
and {Universidade Federal do Rio Grande do Norte (UFRN)} and
{Universidade Federal do Rio Grande do Norte (UFRN)}",
title = "WRF model assessment for wind intensity and power density
simulation in the southern coast of Brazil",
journal = "Energy",
year = "2020",
volume = "190",
pages = "e116341",
month = "Jan.",
keywords = "Blended Sea Winds, South Atlantic subtropical high, Wind energy.",
abstract = "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. Thus, 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. We compared the results
of the simulations with data from the Blended Sea Winds (BSW)
product, who quantify wind velocity over oceans. The numerical
experiment was carried out during a 5-year period, between 00UTC
of January 01, 2006 until 00UTC of December 31, 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. We concluded that 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.",
doi = "10.1016/j.energy.2019.116341",
url = "http://dx.doi.org/10.1016/j.energy.2019.116341",
issn = "0360-5442",
language = "en",
targetfile = "tuchtenhagen_wrf.pdf",
urlaccessdate = "04 maio 2024"
}