Abstract

The model proposed in this study was based on the assumption that the biomass attached to the anode served as biocatalysts for microbial fuel cell (MFC) exoelectrogenesis, and this catalytic effect was quantified by the exchange current density of anode. By modifying the Freter model and combining it with the Butler–Volmer equation, this model could adequately describe the processes of electricity generation, substrate utilization, and the suspended and attached biomass concentrations, at both batch and continuous operating modes. MFC performance is affected by the operating variables such as initial substrate concentration, external resistor, influent substrate concentration, and dilution rate, and these variables were revealed to have complex interactions by data simulation. The external power generation and energy efficiency were considered as indices for MFC performance. The simulated results explained that an intermediate initial substrate concentration (about 100 mg/L under this reactor configuration) needed to be chosen to achieve maximum overall energy efficiency from substrate in the batch mode. An external resistor with the value approximately that of the internal resistance, boosted the power generation, and a resistor with several times of that of the internal resistance achieved better overall energy efficiency. At continuous mode, dilution rate significantly impacted the steady-state substrate concentration level (thus substrate removal efficiency and rate), and attached biomass could be fully developed when the influent substrate concentration was equal to or higher than 100 mg/L at any dilution rate of the tested range. Overall, this relatively simple model provided a convenient way for evaluating and optimizing the performance of MFC reactors by regulating operating parameters.

Highlights

  • A microbial fuel cell (MFC) is a device oxidizing organic substrates in the liquid environment and releasing electrical energy to external loads

  • These results indicated that it was not always that more concentrated substrate could sustain the longest reaction period, and a moderate substrate concentration should be chosen for keeping MFC from starvation

  • Assumption that theByanode attached the the bacterial monolayer biocatalysts foron modifying thetoFreter bacterial monolayer served as biocatalysts for MFCequation, exoelectrogenesis

Read more

Summary

Introduction

A microbial fuel cell (MFC) is a device oxidizing organic substrates in the liquid environment and releasing electrical energy to external loads. The electrochemical electrochemical investigate reactions at anode are emphasized in MFC modeling [4,5]. The current MFC anode models are normally based on redox mediators that supposedly exist in in the the medium. Originally describes the dynamics of the bacteria and wall-attached bacteria in a bioreactor [8,9], is adopted. Freter model is first revised to account for the structure which is similar to the process of anode-bacteria attachment. Numerical simulation of the model was conducted to to investigate effect varyingoperating operatingparameters, parameters,including including initial initial or or influent influent substrate investigate thethe effect of ofvarying concentration, dilution and external resistor, on the populations, substratesubstrate removal, concentration, dilutionrate, rate, and external resistor, onMFC the microbial. MFC microbial populations, power generation, and energy efficiency. Especially emphasized in numerical for both batch and continuous modes of operation

Design and and Operation
Model Description
Electrode Potentials
Exchange Current and Overpotential
Mass Balances
Ohm’s Law and Kirchhoff’s Voltage Law
Power and Energy Efficiencies
Model Parameters
Parameter Estimation
Effect of Initial Substrate Concentration
Effect of External Resistor
Effect of Influent Substrate Concentration and Dilution Rate
Conclusions

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.