Models for Microbial Fuel Cells: A critical review

Xia, Chengshuo; Zhang, Daxing; Pedrycz, Witold; Zhu, Yang; Guo, Yongxian

doi:10.1016/j.jpowsour.2017.11.001

Cited by 134 publications

(36 citation statements)

References 75 publications

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“…Xia at al. [16] wrote a comprehensive review on MFCs. The authors qualified various models describing MFCs as the mechanism based models, bulk liquid models, electrochemical models, bio-film models, electrical models and application based models.…”

Section: Models Focused Both On Anode and Cathodementioning

confidence: 99%

Parametric modeling of microbial fuel cells

Singh

Krishnamurthy

2019

J. Electrochem. Sci. Eng.

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<p class="PaperAbstract">Microbial fuel cells use bacteria to generate electrical energy and are used for lower power density applications. This paper studies the effect of operational parameters on the performance of a microbial fuel cell. The effect of length of the anode compartment, inlet acetate concentration, acetate flow rate, temperature, thickness of the membrane and bio-film conductivity on the performance of the fuel cell is modeled. The thickness of the membrane is found to play a very limiting role in affecting the performance of the fuel cell. However, the length of the anode compartment, acetate flow rate and bio-film conductivity are found to play a significant role in the performance of the fuel cell. Model results are compared with experimental data and found to compare well.</p>

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Section: Models Focused Both On Anode and Cathodementioning

confidence: 99%

Parametric modeling of microbial fuel cells

Singh

Krishnamurthy

2019

J. Electrochem. Sci. Eng.

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“…In steady-state conditions, the rate of reaction at the cathode is double the rate of reaction at the anode (i.e., r 2 = −2 r 1 ), this can be obtained from Equations (13) and (14) at the steady state.…”

Section: Single-objective Optimizationmentioning

confidence: 99%

Single- and Multi-Objective Optimization of a Dual-Chamber Microbial Fuel Cell Operating in Continuous-Flow Mode at Steady State

Abu-Reesh

2020

Processes

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Microbial fuel cells (MFCs) are a promising technology for bioenergy generation and wastewater treatment. Various parameters affect the performance of dual-chamber MFCs, such as substrate flow rate and concentration. Performance can be assessed by power density ( PD ), current density ( CD ) production, or substrate removal efficiency ( SRE ). In this study, a mathematical model-based optimization was used to optimize the performance of an MFC using single- and multi-objective optimization (MOO) methods. Matlab’s fmincon and fminimax functions were used to solve the nonlinear constrained equations for the single- and multi-objective optimization, respectively. The fminimax method minimizes the worst-case of the two conflicting objective functions. The single-objective optimization revealed that the maximum PD , CD , and SRE were 2.04 W/m2, 11.08 A/m2, and 73.6%, respectively. The substrate concentration and flow rate significantly impacted the performance of the MFC. Pareto-optimal solutions were generated using the weighted sum method for maximizing the two conflicting objectives of PD and CD in addition to PD and SRE simultaneously. The fminimax method for maximizing PD and CD showed that the compromise solution was to operate the MFC at maximum PD conditions. The model-based optimization proved to be a fast and low-cost optimization method for MFCs and it provided a better understanding of the factors affecting an MFC’s performance. The MOO provided Pareto-optimal solutions with multiple choices for practical applications depending on the purpose of using the MFCs.

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“…[ 1–5 ] Recently, fuel cells have attracted widespread attention because of their rapid oxygen reduction ability, and are considered to play an indispensable role in green economy, environmental protection and sustainability. [ 6,7 ] As a variety of various fuel cells, anion exchange membranes fuel cells (AEMFCs) are currently the most widely studied energy conversion device, because of their fundamental advantages over proton exchange membranes fuel cells (PEMFCs). Anion exchange membrane (AEM) as a critical component of AEMFC has been extensively studied, which plays a vital role in blocking fuel and transporting anions in fuel cells.…”

Section: Introductionmentioning

confidence: 99%

Preparation of Branch Polyethyleneimine (BPEI) Crosslinked Anion Exchange Membrane Based on Poly(styrene‐b‐(ethylene‐co‐butylene)‐b‐styrene) (SEBS)

Xiao

Zhang

Dong

et al. 2021

Macro Materials & Eng

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Anion exchange membranes with chemical stability, high conductivity, and high mechanical properties play an important role in alkaline fuel cells. Here, a series of CPX anion exchange membranes based on poly(styrene‐b‐(ethylene‐co‐butylene)‐b‐styrene) (SEBS) and branch polyethyleneimine (BPEI) are achieved by casting, in which BPEI acts as both a crosslinking agent and an OH− conducting functional group. The introduction of BPEI facilitates the formation of good hydrophilic/hydrophobic microphase separation structure, thus improving the ion transport channel of CPX membrane. The physicochemical and electrochemical properties of the CPX membrane are significantly improved when the mass ratio of SEBS to BPEI is within an appropriate range. The OH− conductivity of the CP2 membrane (the mass ratio of SEBS to BPEI is 2) can reach 66.63 mS cm−1 at 80 °C, and more than 80% initial OH− conductivity is maintained in 1.0 m NaOH solution for 20 d at 60 °C. The strategy of using a polymer with excellent alkali resistance and oxidation resistance as the main body and introducing a conductive group that can construct microphase separation can simultaneously improve the conductivity and membrane stability. This viable strategy is a promising construction method for anion exchange membranes that can be applied to fuel cells.

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Models for Microbial Fuel Cells: A critical review

Cited by 134 publications

References 75 publications

Parametric modeling of microbial fuel cells

Parametric modeling of microbial fuel cells

Single- and Multi-Objective Optimization of a Dual-Chamber Microbial Fuel Cell Operating in Continuous-Flow Mode at Steady State

Preparation of Branch Polyethyleneimine (BPEI) Crosslinked Anion Exchange Membrane Based on Poly(styrene‐b‐(ethylene‐co‐butylene)‐b‐styrene) (SEBS)

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