Submitted by Lucienne Costa (lucienneferreira@ufcg.edu.br) on 2018-04-24T16:40:39Z No. of bitstreams: 1 BRUNO ALBUQUERQUE DIAS – DISSERTAÇÃO (PPGEE) 2017.pdf: 3277136 bytes, checksum: 1277dbc3bda9c5d90497f95d8bf94878 (MD5) / Made available in DSpace on 2018-04-24T16:40:39Z (GMT). No. of bitstreams: 1 BRUNO ALBUQUERQUE DIAS – DISSERTAÇÃO (PPGEE) 2017.pdf: 3277136 bytes, checksum: 1277dbc3bda9c5d90497f95d8bf94878 (MD5) Previous issue date: 2017-03-17 / CNPq / O acúmulo de poluentes na superfície dos isoladores, que compõem as linhas de transmissão, permite a formação de uma camada de substâncias que, sob incidência de névoa, chuva ou orvalho, produzem soluções condutoras. Na região norte do Brasil, muitos casos de poluição biológica são caracterizados como limo, associação de microalgas e fungos, a resistência dielétrica da superfície do isolador, nestes casos, é reduzida, causando falhas no sistema elétrico. Para investigar o efeito dessa poluição sobre os isoladores, o presente trabalho apresenta um modelo computacional que relaciona o aspecto visual do limo no isolador (intensidade, forma e local) com a sua corrente de fuga obtida por simulação e correlaciona eficiência da simulação com experimentos em laboratório. Os objetos de teste utilizados foram isoladores de disco de vidro, limpos e poluídos com limo. Os isoladores contaminados foram retirados da subestação de Guamá, Pará, Brasil e os experimentos realizados no Laboratório de Alta Tensão da Universidade Federal de Campina Grande, na Paraíba. As simulações computacionais utilizam o Método dos Elementos Finitos e, assim como as medições laboratoriais, foram realizadas para diferentes condições de umidade, uma vez que essa variável tem influência significativa na condutividade do limo. A simulação se mostrou eficiente e os resultados apresentados mostram que é possível estimar a corrente de fuga desse tipo de isolador sob diferentes condições de umidade e diferentes níveis de poluição. / The accumulation of pollutants on surface of insulators allows the formation of a layer of substances that, with mist, rain or dew, produces conductive solutions. The surface dielectric strength, in these cases, is reduced, causing failures in electrical system. In the northern region of Brazil, many cases of biological pollution are characterized as slimes, association of microalgae and fungi. To investigate the effect of this pollution on the insulators, the present work presents a computational model that relates the visual aspect of slime in the insulator (intensity, shape and location) with its leakage current obtained by simulation and correlates efficiency of the simulation with laboratory experiments. Test objects used were glass disk insulators, cleaned and polluted with slime. The contaminated insulators were removed from the Guamá Substation, Pará, Brazil and the tests performed at the High Voltage Laboratory of Federal University of Campina Grande in Paraíba, Brazil. Computational simulations using Finite Element Method and, as well as the laboratory measurements, were performed for different humidity conditions since this variable has a significant influence on slime conductivity. The simulation proved to be efficient and the presented results show that it is possible to estimate leakage current of this type of insulator under different humidity conditions and different levels of pollution.

The subject of this thesis is to implement the passport of sewer system installation, technical assessment and evaluation of the technical condition of the entire sewer network in the industrial area, along with focus and plotting the current leadership of the sewerage system. It was also developed a hydraulic model of the entire solution sewer system. In the second part of the study is a proposal for an appropriate treatment system of wastewater. It was also developed a hydraulic model of the entire solution sewer system. In the second part of the study is a proposal for an appropriate treatment system of wastewater. In conclusion there is a financial assessment and comparison of different variants cleaning system in terms of investment and operating costs.