Identifying optimized conditions for concurrent electricity production and phosphorus recovery in a mediator-less dual chamber microbial fuel cell

Almatouq, Abdullah; Babatunde, Akintunde

doi:10.1016/j.apenergy.2018.08.108

Cited by 41 publications

(26 citation statements)

References 37 publications

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“…As shown in Equation 23, SRE is directly proportional to the CD generated, this relation is valid for CD below the maximum, otherwise, the voltage becomes negative. Al Matouq et al [19] optimized the operating variables for the production of electricity and phosphorus recovery in double-chamber MFCs. They found that the substrate feed concentration in the anode and the aeration flow rate in the cathode were major players in the MFC performance.…”

Section: Multi-objective Optimization (Moo) Using the Weighted Sum Mementioning

confidence: 99%

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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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Section: Multi-objective Optimization (Moo) Using the Weighted Sum Mementioning

confidence: 99%

“…They found that the substrate feed concentration in the anode and the aeration flow rate in the cathode were major players in the MFC performance. They reported that the high production of electricity and the recovery of phosphorus could not be achieved simultaneously [19].…”

Section: Multi-objective Optimization (Moo) Using the Weighted Sum Mementioning

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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“…Based on CFD simulations of several specific operation cases, in this study, the RSM is used to identify the relationship (i.e., the response surface model) between a design response and a set of design parameters (Equation 3) [44,45].…”

Section: Response Surface Modelingmentioning

confidence: 99%

Multi-criteria performance optimization for operation of stratum ventilation under heating mode

Zhang

Lin

et al. 2019

Applied Energy

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“…This is particularly relevant when considering that different wastewaters will have vastly varying characteristics. For example, animal and agricultural wastewater will be high in potassium, nitrogen, and phosphorus, which are the three main components of fertiliser that can be removed anodically (Zhang et al 2019) or via precipitation at the cathode (Almatouq and Babatunde 2018). MFC researchers should appreciate that oxygen is not the only sustainable cathodic electron acceptor because other elements with high redox potential such as some heavy metals can also be utilised (Ucar et al 2017).…”

Section: Microbial Fuel Cell For Wastewater Treatmentmentioning

confidence: 99%

Microbial Fuel Cells, Concept, and Applications

Santoro

Brown

Gajda

et al. 2019

Handbook of Cell Biosensors

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Identifying optimized conditions for concurrent electricity production and phosphorus recovery in a mediator-less dual chamber microbial fuel cell

Cited by 41 publications

References 37 publications

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

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

Multi-criteria performance optimization for operation of stratum ventilation under heating mode

Microbial Fuel Cells, Concept, and Applications

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