Submitted by Natalie Mendes (nataliermendes@gmail.com) on 2015-11-20T01:06:03Z No. of bitstreams: 1 DISSERTA??O - QUELLE.pdf: 2565380 bytes, checksum: eb95484178642dadbc525b49bf7eeb8c (MD5) / Made available in DSpace on 2015-11-20T01:06:03Z (GMT). No. of bitstreams: 1 DISSERTA??O - QUELLE.pdf: 2565380 bytes, checksum: eb95484178642dadbc525b49bf7eeb8c (MD5) Previous issue date: 2013-10-05 / Funda??o de Amparo ? Pesquisa do Estado da Bahia - FAPEB / The objective of this study was to evaluate the influence of stormwater on the energy consumption in the pump stations of the urban sewage system of Feira de Santana city. Data concerning the energy consumption in the pump stations, the water consumption in the area, and the precipitation rate were collected for the time period of 2008-2011. Statistical tests were performed by applying the Spearman?s rank correlation, the Anderson-Darling goodness-of-fit test, the Student?s test t, and the Ljung-Box test. The results showed that, regarding a potential influence of the effective precipitation rate on the energy consumption in the pumps, the correlation not significantly different from zero with a 95% confidence level for all the 19 pump stations. Similar results were obtained for the case of the potential influence of the public water consumption on the energy consumption in the pump stations. However, considering the total energy consumption in the pump stations, the correlation with the effective precipitation is significant, although weak (R=0.30). Thus, it was estimated that 9% of the total energy consumption in the pump stations is explained by the precipitation. By analyzing the correlation between the energy consumption of all the pump stations, it was found that the all possible correlations are weak, and only in 12% of the cases the correlation is significantly different from zero with a 95% confidence level. Moreover, such correlation was not observed in pumping stations installed in series. In addition, seasonality tests applied to the time series precipitation and water consumption revealed seasonality with a one year lag, suggesting good quality of data concerning these parameters. These results point to the hypothesis of potential errors or inconsistency with our study in the data collecting process regarding the energy consumption in the pump stations. A possible explanation lies in the fact that the energy consumption times series was made available in a monthly basis, thus potentially not reflecting precipitation peaks measured in a daily basis. The results of this study, as a preliminary conclusion, point that the impact of precipitation on the overall energy consumption in the wastewater treatment system of Feira de Santana is not significant. / Esta pesquisa teve com objetivo avaliar a influ?ncia da precipita??o no consumo de energia das esta??es elevat?rias do sistema de esgoto da cidade de Feira de Santana. Foram coletados dados de consumo de energia nas esta??es elevat?rias, consumo de ?gua e precipita??o, durante per?odo de 2008-2011. Os testes estat?sticos coeficiente de correla??o de postos de Spearman, teste de qualidade de ajuste de Anderson-Darling, o teste estat?stico t de Student, e a estat?stica de Ljung-Box foram aplicados na an?lise. Os resultados mostram que, em rela??o a uma potencial influ?ncia da precipita??o efetiva no consumo de energia das esta??es elevat?rias, a correla??o n?o ? significativamente diferente de zero com um n?vel de confian?a de 95% para todas as 15 esta??es elevat?rias analisadas. Resultados semelhantes foram obtidos em rela??o ? influ?ncia potencial do consumo p?blico de ?gua no consumo de energia das esta??es elevat?rias. Contudo, considerando o consumo total de energia nas esta??es elevat?rias, foi poss?vel observar uma correla??o significativa, embora fraca, entre a precipita??o efetiva e esse consumo de energia (R=0.30). Assim, calculou-se que 9% deste consumo energ?tico se deve ? precipita??o efetiva. Al?m de estes pontos, a an?lise da correla??o entre o consumo de energia de todas as esta??es revela que todas as correla??es poss?veis s?o fracas, e que apenas em 12% dos casos a correla??o ? significativamente diferente de zero com um n?vel de confian?a de 95%, sendo que esta correla??o n?o se verificou em esta??es elevat?rias que se encontram em s?rie no sistema. Adicionalmente, testes de sazonalidade foram aplicados ?s s?ries temporais de precipita??o e consumo de ?gua, revelando sazonalidade com um ano de atraso, sugerindo boa qualidade de dados relativamente a estes par?metros. Estes resultados apontam para a hip?tese de inconsist?ncia dos dados disponibilizados de consumo de energia nas esta??es em rela??o ao nosso estudo. Uma explica??o poss?vel foi o fato de que os dados de medi??o de energia encontraram-se agregados em m?dias mensais, assim podendo potencialmente n?o refletir picos de precipita??o medidos em uma base di?ria. Contudo, os resultados deste estudo, como conclus?o preliminar, apontam que o impacto da precipita??o no consumo total de energia no sistema de tratamento de ?guas residuais de Feira de Santana dever? ser pouco significativo.