Bioelectricity generation from wastewater and actual landfill leachates: A multivariate analysis using principal component analysis. (10th August 2017)

• Record Type: Journal Article
• Authors: Hernández-Flores, G.; Solorza-Feria, O.; Poggi-Varaldo, H.M.
• Is Part Of: International journal of hydrogen energy. Volume 42:Number 32(2017)
• Page Start: 20772
• Page End: 20782
• Publication Date: 2017-08-10
• Subjects: Coulombic efficiency -- Leachates -- Microbial fuel cells -- Municipal wastewater -- Organic matter removal -- Remediation; Hydrogen as fuel -- Periodicals; Hydrogène (Combustible) -- Périodiques; Hydrogen as fuel; Periodicals; 665.81
• DOI: 10.1016/j.ijhydene.2017.01.021
• Languages: English
• ISSNs: 0360-3199

Abstract

Abstract: The goal of this work was to evaluate the treatment and bioelectricity generation in microbial fuel cells ( MFC ) fed with municipal wastewater ( MWW ) and leachate from the Mexico City landfill "Bordo Poniente" section 1 and 4 ( L-1 and L-4 ). Principal component analysis ( PCA ) suggested that the 9 original variables could be reduced to 2 explanatory variables, i.e., two main principal components, further simplifying the analysis of experimental results. These PC s could be assigned either phys-chem or performance meanings. PCA revealed that performance variables η COD and CE contrasted with influent characteristic variables suggesting that an increase of the first group were associated to decrease of the second group, i.e ., performance was better with MWW on the average compared to results with leachates. For instance, MFC s fed with MWW exhibited average η COD and CE of 72 and 27%, respectively, whereas the values from MFC s loaded with leachate or mixture MWW-L were 53 and 9.5%, respectively. Moreover, PCA reinforced the conclusion of a negative effect of mixing together MWW and leachates, an issue that deserves further research. To the best of our knowledge this is the first report on the use of MFC s to the treatment of atypical actual leachates from a landfill in Mexico and its mixtures with MWW . Highlights: We evaluated the treatment of MWW and leachate and bioelectricity production in MFC . The PC1 expressed the contrast of variables η COD and CE with influent parameters. PC 2 expressed the contrast between R ext + initial pH and performance variables P V + CE . The plot of the 'objects' showed two groups of periods and an isolated period 4. This confirmed the strong influence of type of influent on periods' results.