Optimal pretreatment of plantain peel waste valorization for biogas production: Insights into neural network modeling and kinetic analysis.

ABSTRACT: This work proposed a model for the substrate treatment stage of biogas production process in an anaerobic digestion system. Adaptive neuro-fuzzy inference system (ANFIS), response surface method (RSM), and artificial neural network (ANN) were comparatively used in the simulation and modeling of the treatment process for improved biogas yield. Waste plantain peels were pretreated and used as substrate. FTIR and SEM results revealed that the pretreatment improved the substrate's desirable qualities. The amount of biogas yield was controlled by time, NaOH concentration, and temperature of the substrate pretreatment. Optimum pretreatment conditions obtained were a temperature of 102.7 °C, time of 31.7 min and NaOH concentration of 0.125 N. RSM, ANN, and ANFIS modeling techniques were proficien

SUBMITTER: Nweke CN 

PROVIDER: S-EPMC10663925 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature