Análise do potencial eólico onshore e offshore no estado da BAhia utilizando o modelo WRF

• Autor(a) principal: Souza, Noéle Bissoli Perini de
• Data de Publicação: 2021
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
• Texto Completo: http://repositorio.ufes.br/handle/10/15814
• topic: Energia renovável; potencial eólico; WRF; DFA; parametrização; clima tropical; Bahia; persistência do vento; subject.br-rjbn; Engenharia Sanitária

This work has as main objective the elaboration of an onshore and offshore wind map of the state of Bahia using the WRF mesoscale model with a spatial resolution of 3 km and a time period of 5 years (2015-2020). Initially, to evaluate the best physical parameterizations in the model, simulations were performed with a spatial resolution of 1 km to compare with observational data of approximately one year obtained in towers equipped with anemometers at heights of 80, 100, 120 and 150 m, strategically positioned in three locations far apart in the state of Bahia (Esplanada, Mucuri and Mucugê). The combination of PBL-YSU and LSM-RUC regimens showed the best results. After this analysis, velocity field simulations were carried out for a period of 5 years and the results compared with surface data from 41 automatic anemometric stations covering the state of Bahia and one located in the Abrolhos Archipelago. The results showed that the winter period presents higher mean values of wind speed for the onshore region (9 to 14 m/s), and the northern and southwestern regions of the state stand out for the generation of wind energy. In the offshore case, spring presents the highest averages for wind speed (7 to 8 m/s), followed by the summer season, highlighting the maritime coast in the extreme south of the state (7 to 10 m/s). The nocturnal wind regime is more intense than the daytime one, indicating a great complementarity with solar energy. It should be noted that the year 2017 had the highest average values of wind speed in the region, being considered one of the warmest years without the influence of the El Niño phenomenon recorded globally since the year 1850. In addition, the DFA (Detrended Fluctuation Analysis) technique was used to analyze the scale behavior of the data measured at the stations and in the numerical simulations. Most regions showed persistent behavior for wind speed, especially those in which, in addition to high values in average wind speeds, they obtained high self-similarity exponent values within the range of persistent long-range correlations, characterized as excellent locations in terms of high values of energy and wind persistence.