Recovery of energy and simultaneous treatment of dewatered sludge using membrane‐less microbial fuel cell

Muaz, Mohd; Abdul, Rosalina; Vadivelu, Vel Murugan

doi:10.1002/ep.12919

Cited by 34 publications

(29 citation statements)

References 37 publications

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“…The optimal value of PD reached 58.19 mW/m 2 whereas the COD removal reached 94.8%. Three input parameters; electrode distance (cm), moisture content (% vol/wt) and temperature (°C) were employed by Muaz et al to maximize the performance of MFC using RSM methodology 21 . The maximum output voltage by MFC reached 927.7 mV, whereas COD removal increased to 170.8 mg/L.…”

Section: Introductionmentioning

confidence: 99%

Performance improvement of microbial fuel cell through artificial intelligence

et al. 2020

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The current work introduces an enhancement in the performance of the microbial fuel cell through estimating the optimal set of controlling parameters. The maximization of both power density (PD) and the percentage of chemical oxygen demand (COD) removal were considered as the enhancement in the cell's performance. Three main parameters in terms of performance as well as commercialization are the system's inputs; the Pt which takes the range of 0.1-0.5 mg/cm 2 , the degree of sulphonation in sulfonated-poly-ether-ether-ketone that changes in the range of 20-80%, and the rate of aeration of cathode which varies between 10 and 150 mL/ min. From the experimental dataset, two robust adaptive neuro-fuzzy inference system models based on the fuzzy logic technique have been constructed. The comparisons between the models' outputs and the experimental data showed well-fitting in both training and testing datasets. The mean squared errors of the PD model, for testing and whole datasets, were found 2.575 and 0.909 while for the COD model it showed 19.242 and 6.791, respectively. Then, based on the two fuzzy models, a Particle Swarm Optimization algorithm has been used to determine the best parameters that maximize both of the PD and the COD removal of the cell. The optimization process was utilized for single and multi-object optimization processes. In the single optimization, the resulting maximums of the PD and the COD removal were found 62.844 (mW/m 2) and 99.99 (%), respectively. Whereas, in the multi-object optimization, the values of 61.787 (mW/m 2) and 96.21 (%) were reached as the maximums for the PD and COD, respectively. This implies that, in both cases of optimization processes, the adopted methodology can efficiently enhance the microbial fuel cell performances than the previous work.

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Section: Introductionmentioning

confidence: 99%

Performance improvement of microbial fuel cell through artificial intelligence

et al. 2020

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“…The precaution step for the samples' freshness was taken as the method proposed by Muaz et. al (2018) …”

Section: Methodsmentioning

confidence: 99%

“…Microbial fuel cells (MFCs) are known to be a promising yet challenging technology to be implemented in recent years. This process utilizes the ability of microorganisms' to interact with electrodes using electrons produced during the respiration process in order to help convert waste compounds into electricity via metabolic activities . The substrates in MFC are oxidized by the microbes present in the anodic chamber, and this generates electrons and protons.…”

Section: Introductionmentioning

confidence: 99%

“…This process utilizes the ability of microorganisms' to interact with electrodes using electrons produced during the respiration process in order to help convert waste compounds into electricity via metabolic activities. 1 The substrates in MFC are oxidized by the microbes present in the anodic chamber, and this generates electrons and protons. The oxidation process also produces carbon dioxide as another product.…”

Section: Introductionmentioning

confidence: 99%

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Electricity generation using membrane‐less microbial fuel cell powered by sludge supplemented with lignocellulosic waste

Makhtar

Tajarudin

2020

Int J Energy Res

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Summary A membrane‐less microbial fuel cell (ML‐MFC) is an electrochemical device that incorporates microorganisms into the design in order to produce electricity through biologically catalyzed oxidation of soluble, electron‐donating substrates. In this study, three lignocellulosic raw materials were added into the ML‐MFC whereby the sludge acted as the pseudomembrane. All three materials were used as the substrates in ML‐MFC for the production of electricity that was measured using a digital multimeter. Results showed that the ML‐MFC that contained sludge supplemented with banana peel produced the highest electricity, followed by corn bran and palm oil mill effluent (POME) at 237.1 mV (23.75 mW/m2), 176.8 mV (12.65 mW/m2), and 138 mV (22.03 mW/m2) after 138 h, 192 h, and 108 h of incubation period, respectively. For the control test (sludge only), about 162.7 mV was recorded at shorter incubation period (84 h). This showed that long‐term operation of the ML‐MFC using these complex lignocellulosic compounds as a direct substrate for electricity generation is feasible, though their degradation is slow.

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“…It is even effective as a biosensor for real-time monitoring of pollutants in wastewater [7]. In addition, MFC has less sludge generation than other conventional wastewater treatment methods [8]. The microorganisms play an important role in MFC performance.…”

Section: Introductionmentioning

confidence: 99%

A Review on Microbial Electrocatalysis Systems Coupled with Membrane Bioreactor to Improve Wastewater Treatment

et al. 2019

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Microbial electrocatalysis is an electro reaction that uses microorganisms as a biocatalyst, mainly including microbial electrolytic cells (MEC) and microbial fuel cells (MFC), which has been used for wastewater treatment. However, the low processing efficiency is the main drawback for its practical application and the additional energy input of MEC system results in high costs. Recently, MFC/MEC coupled with other treatment processes, especially membrane bioreactors (MBR), has been used for high efficiency and low-cost wastewater treatment. In these systems, the wastewater treatment efficiency can be improved after two units are operated and the membrane fouling of MBR can also be alleviated by the electric energy that was generated in the MFC. In addition, the power output of MFC can also reduce the energy consumption of microbial electrocatalysis systems. This review summarizes the recent studies about microbial electrocatalysis systems coupled with MBR, describing the combination types and microorganism distribution, the advantages and limitations of the systems, and also addresses several suggestions for the future development and practical applications.

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Recovery of energy and simultaneous treatment of dewatered sludge using membrane‐less microbial fuel cell

Cited by 34 publications

References 37 publications

Performance improvement of microbial fuel cell through artificial intelligence

Performance improvement of microbial fuel cell through artificial intelligence

Electricity generation using membrane‐less microbial fuel cell powered by sludge supplemented with lignocellulosic waste

A Review on Microbial Electrocatalysis Systems Coupled with Membrane Bioreactor to Improve Wastewater Treatment

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