Modelling of a bioelectrochemical system for metal‐polluted wastewater treatment and sequential metal recovery

BACKGROUND This work develops a simplified mathematical model to predict the performance of bioelectrochemical system (BES), first working as microbial fuel cell (MFC) and then electrolysis (MEC), for recovery dissolved metals (Fe, Cu, Sn, Ni) from simulated industrial wastewater. Experimental data previous were used starting points modelling. Wastewater was catholyte contained Cu2+ Fe3+ (500 mg L−1) well Sn2+ Ni2+ (50 L−1), while anolyte composed sodium acetate. Two mixed populations considered in anode compartment (electrogenic non-electrogenic biomass). Dissolved metal ions electron acceptors electrogenic mechanism: under MFC mode Fe2+, Ni2+, MEC mode. RESULTS The predicted organic substrate biomass (anode chamber) (cathode concentrations during operation. Monod kinetic stoichiometric parameters calibrated, it observed that most underwent mechanism. generation electric current until removed also predicted. Concentration profiles first-rate constant values decreased Sn2+, Fe2+ subsequent operation obtained. simulations different experimental conditions. CONCLUSION offers single grey-box proposal is easy implement, can be practical tool testing removal BESs. © 2021 Society Chemical Industry (SCI).