Models for microbial fuel cells: a critical review

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

doi:10.1049/joe.2017.0533

Cited by 20 publications

(23 citation statements)

References 51 publications

(95 reference statements)

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“…An alternative is computational modeling. In recent years, lot of progress has been made in the development of comprehensive mathematical models that provide good approximation of the power output of MFCs 13,14 . However the more detailed computational models which provide good performance prediction also require extensive computational resources 13,15 .…”

Section: A Robust Correlation Based On Dimensional Analysis To Characmentioning

confidence: 99%

A robust correlation based on dimensional analysis to characterize microbial fuel cells

Gadkari

Sadhukhan

2020

Sci Rep

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We present a correlation for determining the power density of microbial fuel cells based on dimensional analysis. Important operational, design and biological parameters are non-dimensionalized using a selection of scaling variables. Experimental data from various microbial fuel cell studies operating over a wide range of system parameters are analyzed to attest accuracy of the model in predicting power output. The correlation predicts nonlinear dependencies between power density, substrate concentration, solution conductivity, external resistance, and electrode spacing. The straightforward applicability without the need for any significant computational resources, while preserving good level of accuracy; makes this correlation useful in focusing the experimental effort for the design and optimization of microbial fuel cells.

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Section: A Robust Correlation Based On Dimensional Analysis To Characmentioning

confidence: 99%

A robust correlation based on dimensional analysis to characterize microbial fuel cells

Gadkari

Sadhukhan

2020

Sci Rep

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“…MFCs constitute a green technology that allows simultaneous treatment of wastewater and energy recovery using the metabolic activities of microorganisms . In general, a typical MFC comprises anode and cathode chambers physically separated by a proton exchange membrane (PEM).…”

Section: Principle Of Chromium Reduction In An Mfcmentioning

confidence: 99%

“…MFCs constitute a green technology that allows simultaneous treatment of wastewater and energy recovery using the metabolic activities of microorganisms. [24][25][26][27] In general, a typical MFC comprises anode and cathode chambers physically separated by a proton exchange membrane (PEM). The electrochemically active bacteria/electricigen present in the anaerobic anode chamber filled with wastewater decompose organic matter to produce electrons and protons.…”

Section: Principle Of Chromium Reduction In An Mfcmentioning

confidence: 99%

Critical review on microbial fuel cells for concomitant reduction of hexavalent chromium and bioelectricity generation

Aarthy

Rajesh

Thirunavoukkarasu

2019

J of Chemical Tech & Biotech

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Rapid urbanization and industrialization has led to the indiscriminate discharge of heavy metals into the environment. Hexavalent chromium (Cr(VI)), a lethal, carcinogenic and genotoxic heavy metal frequently found in industrial effluent, poses a serious threat to human health. On the other hand, there is a global energy crisis prevalent owing to the scarcity of resources and huge energy demand. An emerging innovative technology which utilizes the biocatalytic activity of microbes for electron production and offers a dual solution for simultaneous reduction of Cr(VI) and generation of bioelectricity is the microbial fuel cell (MFC). The success of the MFC depends on variables such as cell configuration, pH, electrode materials, effect of microbial communities and operational conditions. This review provides a critical insight on the developments in the field of MFCs with abiotic and biotic cathodes, integrated systems, plant‐ and soil‐based designs for treatment of Cr(VI)‐laden effluent and sustainable energy recovery. © 2019 Society of Chemical Industry

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“…These techniques allow us to save time and money since they cover multiple scenarios reducing the number of tests required. For these reasons, in the last few years the interest in modelling the behaviour of bioelectrochemical systems has increased significantly [14] , [15] . Some of the computational models reported to optimise the performance of MFCs are focusing on the anode as the limiting factor.…”

Section: Introductionmentioning

confidence: 99%

“…However, so far most of the models are based on MFCs fed with pure substrates or synthetic wastewater. Due to the complexity of the system, hardly ever MFCs using real wastes as fuel have been modelled [14] , [15] .…”

Section: Introductionmentioning

confidence: 99%

Towards the optimisation of ceramic-based microbial fuel cells: A three-factor three-level response surface analysis design

Salar-García

Ramón-Fernández

Ortiz-Martínez

et al. 2019

Biochemical Engineering Journal

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Highlights Ceramic-based MFCs fed with urine for continuous bioenergy production. Response surface methodology for designing a sequential set of MFC experiments. Obtaining a second order model with a regression coefficient of 0.886. High effect of the external loading and anode area on the MFC power output. Membrane thickness does not show statistical influence on the MFC performance.

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Models for microbial fuel cells: a critical review

Cited by 20 publications

References 51 publications

A robust correlation based on dimensional analysis to characterize microbial fuel cells

A robust correlation based on dimensional analysis to characterize microbial fuel cells

Critical review on microbial fuel cells for concomitant reduction of hexavalent chromium and bioelectricity generation

Towards the optimisation of ceramic-based microbial fuel cells: A three-factor three-level response surface analysis design

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