A box–behnken design-based model for predicting power performance in microbial fuel cells using wastewater
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Pérez de los Ríos, Antonia; Godínez Seoane, Carlos; Hernández Fernández, Francisco José; Martínez Conesa, Eusebio José; Ortiz Martínez, Víctor Manuel; [et al.]Grupo de investigación
INQUIPROÁrea de conocimiento
Ingeniería QuímicaPatrocinadores
This work has been supported by the Ministry of Science and Innovation of Spain 356 (MICINN), ref. CICYT ENE2011-25188, and the Séneca Foundation Ref. 18975-JLI-13. 357 V.M. Ortiz-Martínez and M.J. Salar-García are supported by grants FPU2012-05444 and 358 BES-2012- 055350, respectively.Fecha de publicación
2016-10-17Editorial
Taylor and FrancisCita bibliográfica
E. J. Martínez-Conesa, V. M. Ortiz-Martínez, M. J. Salar-García, A. P. De Los Ríos, F. J. Hernández-Fernández, L. J. Lozano & C. Godínez (2017) A Box–Behnken Design-Based Model for Predicting Power Performance in Microbial Fuel Cells Using Wastewater, Chemical Engineering Communications, 204:1, 97-104, DOI: 10.1080/00986445.2016.1236336Revisión por pares
siPalabras clave
Microbial fuel cellsModelling
Optimization
Power density
Response surface methodology
Wastewater treatment
Resumen
Although modeling is regarded as a useful tool to understand the performance of microbial fuel cells (MFCs), the number of MFC models remains very low compared with the number of experimental works available in the literature. Moreover, there are very few MFC modeling attempts dealing with the use of wastewater as fuel in these devices, which is essential for the practical implementation of MFCs since the potential of this technology lies in the two-fold benefit of wastewater treatment and bioenergy generation. In this work, a four-factor three-level Box–Behnken design was developed to model the electrochemical power generation in two-chamber MFCs using wastewater as fuel. The optimum values of temperature, external resistance, feed concentration and anodic pH that maximized power output were investigated. Optimum conditions were found at T = 35°C and R = 1 kΩ, corresponding to a maximum power density of 0.88 W·m−3, while feed concentration and pH did not show statistical significance ...
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