Banca de DEFESA: FRANCISCO EMENSON CARPEGIANE SILVA FEITOSA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : FRANCISCO EMENSON CARPEGIANE SILVA FEITOSA
DATA : 28/02/2019
HORA: 09:00
LOCAL: Auditório CCET
TÍTULO:

Wind analysis on the atlantic tropical ocean basin: observation and mesoscale/dinamical modeling.

PALAVRAS-CHAVES:

Renewable energy. Wind modeling. RegCM4.

PÁGINAS: 100
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Geociências
SUBÁREA: Meteorologia
ESPECIALIDADE: Meteorologia Dinâmica
RESUMO:

The economic and social structure of a country is linked mainly to the energy sector. This
sector is vulnerable to climate change being responsible for most of the emission of
greenhouse gases. From this premise, investments are needed in new alternative energy
generation, such as wind power generation in offshore regions in view of its great potential for
power generation. However, estimating the wind potential of a region, especially offshore, is
difficult because of the low availability of observed wind speed data at these sites. Therefore,
the objectives of this study are to evaluate the performance of the RegCM4.2 regional climate
model in simulating the annual and seasonal wind speed climatology in the Tropical Atlantic
Ocean Basin and to identify the wind potential for energy generation. Firstly, a comparison
was performed between the data from the PIRATA program with satellite data from the
Blended Sea Winds (BSW) product, in order to verify the BSW quality. Then the model
simulations were compared with the BSW data, using root mean square error, BIAS and
Pearson (general) and Spearman (monthly) correlation coefficient. Finally, after the validation
of the data, the wind potential was calculated by calculating the power density. In relation to
the BSW wind speed data validation, it was possible to identify that the BSW was able to
represent wind speed data well, presenting a high correlation coefficient and a relatively low
error. Similarly, the model presented better simulation of the wind velocity in the regions near
the coast than in the more distant regions of the coast, when analyzed seasonally, it was
verified that the model has better performance during the winter and spring periods.
Regarding the PD results, during the summer and fall, the highest values of PD were
concentrated in the coastal regions located to the north of the equator, while during winter and
spring the highest values of PD were observed in the northern Brazilian coast. In conclusion,
the validation of the BSW data showed low errors, proving to be an efficient database.
RegCM4.2 showed simulations consistent with the wind speed distribution obtained by the
satellites, and for PD, NEB presented the greatest potential for wind power generation.

MEMBROS DA BANCA:
Presidente - 1280761 - CRISTIANO PRESTRELO DE OLIVEIRA
Interno - 1752417 - CLAUDIO MOISES SANTOS E SILVA
Interno - 1164414 - WEBER ANDRADE GONCALVES
Externo à Instituição - HELBER BARROS GOMES - UFAL