Tafel equation based model for the performance of a microbial fuel cell

Hernández-Flores, Giovanni; Poggi‐Varaldo, Héctor M.; Solorza‐Feria, O.; Noyola, Maria Teresa Ponce; Romero-Castañón, T.; Rinderknecht-Seijas, N.

doi:10.1016/j.ijhydene.2015.06.119

Cited by 32 publications

(10 citation statements)

References 49 publications

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“…Hernández‐Flores et al . [52] introduced a numerical relationship between the volumetric power of MFCs and specific surface area of anode, related the anode region to the output power, as well as internal resistance in a succinct expression based on Tafel equation. It is noticeable that the model was firstly proposed as alternative way to analyse the electrical performance of MFCs with anode surface area.…”

Section: Application‐based Models For Mfcsmentioning

confidence: 99%

Models for microbial fuel cells: a critical review

Xia

Zhang

Zhu

et al. 2017

J. eng.

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Section: Application‐based Models For Mfcsmentioning

confidence: 99%

Models for microbial fuel cells: a critical review

Xia

Zhang

Zhu

et al. 2017

J. eng.

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“…Some models treat the MFC as a black box, considering only the input and output characteristics of the system, while others are more or less detailed in regard to the processes occurring within the researched system. The mathematical models of the first type comprise those exploiting the approaches of electrochemical impedance spectroscopy [27], artificial neural networks [28,29], Tafel equations [30], etc. For example, in the study [31] on the effect of hydrodynamic mode on the output characteristics aimed to determine dead zones that reduce the effective volume of the reactor, hydrodynamics was shown to affect only the output characteristics of the cathode.…”

Section: Introductionmentioning

confidence: 99%

Glucose-Oxygen Biofuel Cell with Biotic and Abiotic Catalysts: Experimental Research and Mathematical Modeling

et al. 2020

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The demand for alternative sources of clean, sustainable, and renewable energy has been a focus of research around the world for the past few decades. Microbial/enzymatic biofuel cells are one of the popular technologies for generating electricity from organic substrates. Currently, one of the promising fuel options is based on glucose due to its multiple advantages: high energy intensity, environmental friendliness, low cost, etc. The effectiveness of biofuel cells is largely determined by the activity of biocatalytic systems applied to accelerate electrode reactions. For this work with aerobic granular sludge as a basis, a nitrogen-fixing community of microorganisms has been selected. The microorganisms were immobilized on a carbon material (graphite foam, carbon nanotubes). The bioanode was developed from a selected biological material. A membraneless biofuel cell glucose/oxygen, with abiotic metal catalysts and biocatalysts based on a microorganism community and enzymes, has been developed. Using methods of laboratory electrochemical studies and mathematical modeling, the physicochemical phenomena and processes occurring in the cell has been studied. The mathematical model includes equations for the kinetics of electrochemical reactions and the growth of microbiological population, the material balance of the components, and charge balance. The results of calculations of the distribution of component concentrations over the thickness of the active layer and over time are presented. The data obtained from the model calculations correspond to the experimental ones. Optimization for fuel concentration has been carried out.

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“…The specific surface area A´s of the anodic materials and the net volume of the only chamber in our MFCs was calculated according to Hernández-Flores et al [56] according the Eq. 1 bellow.…”

Section: Abbreviationsmentioning

confidence: 99%

“…We fitted the P V and R int results of our MFCs equipped with graphite anodic materials to models based on Tafel equation that relates those two electrochemical variables to the log of the specific surface of the anodic material A´s [56]. with P V,max in mW m -3 , A´s in m -1 The statistical parameters were the following: is the determination coefficient of the regression, Ranking was defined as the ratio of the number of significant coefficients of the regression to the number of total coefficients and multiplied by 100 [56].…”

Section: Abbreviationsmentioning

confidence: 99%

Improvement of Microbial Fuel Cell Performance by Selection of Anodic Materials and Enrichment of Inoculum

Hernández-Flores

Poggi-Varaldo

Solorza‐Feria

et al. 2015

J. New Mat. Electrochem. Sys.

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This work aimed at evaluating the effect of four anodic materials and the use of enriched inocula on the microbial fuel cell (MFC) performance. The anodic materials were granular activated carbon (GAC), graphite rod (GR), triangles of graphite (GT) and graphite flakes (GF). When loaded with a sulfate-reducing inoculum (SR-In) the internal resistance (Rint) obtained were 273, 410 and 795 Ω for GF, GT, GR, respectively and higher than 10 000 Ω for GAC, whereas the maximum volumetric power (PV,max) were 1326, 2108 and 3052 mW m-3 for GR, GT and GF, respectively. We observed a decrease of Rint and an increase of PV,max with the increase of the log of A´s of the graphite anodic materials that was consistent with a mathematical model previously reported by our Group. The use of the Fe (III)-reducing inoculum significantly enhanced the MFC performance; PV,max was up to 5000 mW m-3, 40% higher than the power obtained with SR-In whereas the Rint was 140 ohms. Highest PVs of our MFC were close to values of electricity power derived from the anaerobic digestion of municipal wastewaters. In this regard, results of this work point out to a promising approach to further tapping bioelectricity from organic wastes that previously have yielded biohydrogen.

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Tafel equation based model for the performance of a microbial fuel cell

Cited by 32 publications

References 49 publications

Models for microbial fuel cells: a critical review

Models for microbial fuel cells: a critical review

Glucose-Oxygen Biofuel Cell with Biotic and Abiotic Catalysts: Experimental Research and Mathematical Modeling

Improvement of Microbial Fuel Cell Performance by Selection of Anodic Materials and Enrichment of Inoculum

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