TY - JOUR
T1 - Modeling of Renewable Energy Production from the Treatment of Slaughterhouse Wastewater with Ruminal Liquor in Microbial Fuel Cells
AU - Cabello-Torres, Rita J.
AU - Torres, Esmeralda Valentin
AU - del Pino, Lisveth Flores
AU - Castañeda-Olivera, Carlos A.
AU - Valdiviezo-Gonzales, Lorgio
N1 - Publisher Copyright:
Copyright © 2022, AIDIC Servizi S.r.l.
PY - 2022
Y1 - 2022
N2 - The present study aims to optimize the application of a microbial fuel cell (MFC) in the treatment of slaughterhouse wastewater and the production of electricity. The methodology included the response surface analysis (RSA) to evaluate the effect of three factors: the standard reduction potential, SRP (copper, zinc, and graphite; electrode surface area (ESA), and the doses of ruminal liquor (DOSE). The power density (PD) and the removal of the chemical oxygen demand (COD) were determined as the main response variables. The results indicated that the generation of electrical energy depended significantly on the SRP applied, highlighting the copper-graphite arrangement that generated a maximum PD (0.5685 W/m3) and the graphite-graphite that produced the highest removal of COD (81.33%). Consequently, the RSA produced significant predictive models for the generation of PD (R2 = 0.9485, p = 0.029) and removal of COD (R2 = 0.9888, p = 0.002). MFC is presented as a technology intended to be part of the diversification of renewable energy sources and at the same time recover water resources sustainably.
AB - The present study aims to optimize the application of a microbial fuel cell (MFC) in the treatment of slaughterhouse wastewater and the production of electricity. The methodology included the response surface analysis (RSA) to evaluate the effect of three factors: the standard reduction potential, SRP (copper, zinc, and graphite; electrode surface area (ESA), and the doses of ruminal liquor (DOSE). The power density (PD) and the removal of the chemical oxygen demand (COD) were determined as the main response variables. The results indicated that the generation of electrical energy depended significantly on the SRP applied, highlighting the copper-graphite arrangement that generated a maximum PD (0.5685 W/m3) and the graphite-graphite that produced the highest removal of COD (81.33%). Consequently, the RSA produced significant predictive models for the generation of PD (R2 = 0.9485, p = 0.029) and removal of COD (R2 = 0.9888, p = 0.002). MFC is presented as a technology intended to be part of the diversification of renewable energy sources and at the same time recover water resources sustainably.
UR - http://www.scopus.com/inward/record.url?scp=85133659801&partnerID=8YFLogxK
U2 - 10.3303/CET2291108
DO - 10.3303/CET2291108
M3 - Article
AN - SCOPUS:85133659801
SN - 2283-9216
VL - 91
SP - 643
EP - 648
JO - Chemical Engineering Transactions
JF - Chemical Engineering Transactions
ER -