Comparación estadística de las técnicas utilizadas en la producción de hidrógeno a partir de lodos residuales irradiados de la zona minera en Ponce Enriquez

Abstract

This research has been based on performing a statistical comparison of the techniques already implemented in obtaining hydrogen through residual sludge. Having an experimental research design, quantitative study variables, with a cross-sectional exploratory level of depth. In the population, the dark fermentation and microbial electrolysis techniques were used in four reactors, where the generation of hydrogen from the sediments with residual sludge in the Ponce Enríquez canton was monitored. For the sample, the total population was considered. Based on the results, data purification has begun using the complete data techniques (listwise), and multiple imputation, thus having 965 attributed individuals that correspond to 96% of the information. In the atypical analysis, the data found expressed 24% of the total set, while for the descriptive analysis graphs and statistics have been performed. The normality tests, the test based on Kolmogorov-Smirnov have been calculated and it was concluded that the data is not distributed normally for both techniques. According to the linear model of the data, the Pearson coefficient shows a negative association between the values obtained from the techniques, and a low negative correlation coefficient has been obtained. Likewise, when comparing both techniques using the non-parametric Mann Whitney test, it has been shown that at a 95% confidence level there is a significant difference in hydrogen production according to the technique used, therefore, in the time series they have verified the behavior of techniques over time. Finally, the comparative analysis using the Bland Altman graph indicating that there is no concordance between the dark fermentation and microbial electrolysis techniques. The data is not normally distributed, so nonparametric tests are recommended.