Graphite Sheets as High‐Performance Low‐Cost Anodes for Microbial Fuel Cells Using Real Food Wastewater

Mohamed, Hend Omar; Obaid, M.; Sayed, Enas Taha; Abdelkareem, Mohammad Ali; Park, Soo‐Jin; Liu, Yanan; Kim, Hee Young; Barakat, Nasser A.M.

doi:10.1002/ceat.201700058

Cited by 40 publications

(4 citation statements)

References 33 publications

(32 reference statements)

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“…In addition to the active carbon and carbon felt, graphitebased anodes have drawn attentions due to the outstanding electrocatalytic activities, admirable mechanical strength, excellent electrical conductivity, high surface area and low cost. [11,[25][26][27][28] Mohamed et al [25] applied graphite sheets as the anode material in MFC. The maximum power density could be achieved of 1041 mW m À 3 with a higher coulombic efficiency of 60 % than 38 % (carbon cloth) and 25 % (carbon paper).…”

Section: Traditional Carbon Anode Materialsmentioning

confidence: 99%

Carbon‐Based Composites as Anodes for Microbial Fuel Cells: Recent Advances and Challenges

et al. 2021

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site). The relationship is demonstrated in depth between the physicochemical properties of the anode surface/interface/bulk (porosity, surface area, hydrophilicity, partical size, charge, roughness, etc.) and the bioelectrochemical performances (electron transfer, electrolyte diffusion, capacitance, toxicity, start-up time, current, power density, voltage, etc.). An outlook for future work is also proposed.

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Section: Traditional Carbon Anode Materialsmentioning

confidence: 99%

Carbon‐Based Composites as Anodes for Microbial Fuel Cells: Recent Advances and Challenges

et al. 2021

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“…As solid organic matter decays, it consumes oxygen that is necessary for plants and animals. The proper treatment/management of wastewater signifies a genuine sanitary and environmental challenge for all stakeholders worldwide [19][20][21][22][23][24]. Effective treatment options are available, including reusing treated wastewater [25,26].…”

Section: Introductionmentioning

confidence: 99%

Optimized Artificial Intelligent Model to Boost the Efficiency of Saline Wastewater Treatment Based on Hunger Games Search Algorithm and ANFIS

et al. 2023

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Chemical oxygen demand (COD) and total organic carbon (TOC) removal efficiencies of saline wastewater treatment indicate the efficiency of the electrochemical oxidation process. Therefore, the main target of this paper is to simultaneously increase COD and TOC removal efficiencies using artificial intelligence and modern optimization. Firstly, an accurate model based on ANFIS was established to simulate the electrochemical oxidation process in terms of reaction time, pH, salt concentration, and DC applied voltage. Compared with ANOVA, thanks to ANFIS modelling, the RMSE values are decreased by 84% and 86%, respectively, for COD and TOC models. Additionally, the coefficient of determination values increased by 3.26% and 7.87% for COD and TOC models, respectively. Secondly, the optimal reaction time values, pH, salt concentration, and applied voltage were determined using the hunger games search algorithm (HGSA). To prove the effectiveness of the HGSA, a comparison with a slime mold algorithm, sine cosine algorithm, and Harris’s hawks optimization was conducted. The optimal values were found at a pH of 8, a reaction time of 36.6 min, a salt concentration of 29.7 g/L, and a DC applied voltage of 9 V. Under this condition, the maximum COD and TOC removal values were 97.6% and 69.4%, respectively. The overall efficiency increased from 76.75% to 83.5% (increased by 6.75%).

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“…Consequently, more attention by experts was paid on renewable energy sources (RESs) because they are cheaper, environment-friendly, easily accessible, and more importantly sustainable when compared to fossil fuels (Diab et al, 2015;Gomaa et al, 2018;Khan et al, 2018;Tahir et al, 2021). That is why, managements are urged to modify their interests and directions to RESs such as solar energy, wind energy, geothermal heat, hydropower, tidal energy, and biofuels (Ghenai and Janajreh, 2016;Mohamed et al, 2017;Abdelkareem et al, 2018;Abdelkareem et al, 2019;Inayat et al, 2019;Sayed et al, 2019). Simultaneously, a lot of efforts have been put to minimize the energy consumption with optimum usage of the existing resources.…”

Section: Introductionmentioning

confidence: 99%

Experimental Validation of a Numerical Model to Predict the Performance of Solar PV Cells

et al. 2022

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The models designed to evaluate the performance of photovoltaic (PV) cells depend on classical thermal principles with the use of constant optical coefficients (reflectance, absorbance, and transmittance). However, these optical coefficients depend on incident angle actually and, hence, are a function of the inclination and orientation of the PV panel along with the geographical location and time of the day. In this study, varying coefficients (optical thermal model) and constant coefficient (classical thermal model) with incident angle in the energy balance equations followed by experimental validation were considered. First, the incident angle of direct radiation on the PV panel was determined with the help of astronomic simplified calculations, and second, the optical coefficients were evaluated by using principles of classical electromagnetic theory. Third, the energy balance equations were expressed in the form of differential equations and solved numerically by the Runge–Kutta method to obtain the electrical power as a function of time. Finally, electrical power produced by the optical–thermal model and classical thermal model was validated against experimental data for the solar PV system installed at the Central Station, Punjab Emergency Service. The results show that there is significant agreement between the classical thermal model and experimentally produced electricity throughout the year which validates the modeling.

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Graphite Sheets as High‐Performance Low‐Cost Anodes for Microbial Fuel Cells Using Real Food Wastewater

Cited by 40 publications

References 33 publications

Carbon‐Based Composites as Anodes for Microbial Fuel Cells: Recent Advances and Challenges

Carbon‐Based Composites as Anodes for Microbial Fuel Cells: Recent Advances and Challenges

Optimized Artificial Intelligent Model to Boost the Efficiency of Saline Wastewater Treatment Based on Hunger Games Search Algorithm and ANFIS

Experimental Validation of a Numerical Model to Predict the Performance of Solar PV Cells

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