A comparative study on the performance of microbial fuel cell for the treatment of reactive orange 16 dye using mixed and pure bacterial species and its optimization using response surface methodology

2021 ◽  
Vol 48 ◽  
pp. 101667
Author(s):  
Amrita Shahi ◽  
Padmanaban Velayudhaperumal Chellam ◽  
Ankur Verma ◽  
R.S. Singh
Keyword(s):  
Response Surface Methodology ◽  
Fuel Cell ◽  
Comparative Study ◽  
Response Surface ◽  
Microbial Fuel Cell ◽  
Bacterial Species ◽  
Reactive Orange 16 ◽  
Reactive Orange

Optimization of glucose concentration and glucose/yeast ratio in yeast microbial fuel cell using response surface methodology approach

2018 ◽  
Vol 402 ◽  
pp. 402-412 ◽  
Author(s):  
Marcelinus Christwardana ◽  
Domenico Frattini ◽  
Grazia Accardo ◽  
Sung Pil Yoon ◽  
Yongchai Kwon
Keyword(s):  
Response Surface Methodology ◽  
Fuel Cell ◽  
Response Surface ◽  
Microbial Fuel Cell ◽  
Glucose Concentration

Optimization of co-culture inoculated microbial fuel cell performance using response surface methodology

2018 ◽  
Vol 225 ◽  
pp. 242-251 ◽  
Author(s):  
M. Amirul Islam ◽  
Huei Ruey Ong ◽  
Baranitharan Ethiraj ◽  
Chin Kui Cheng ◽  
Md Maksudur Rahman Khan
Keyword(s):  
Response Surface Methodology ◽  
Fuel Cell ◽  
Response Surface ◽  
Microbial Fuel Cell ◽  
Cell Performance ◽  
Fuel Cell Performance

scholarly journals Statistical Modeling and Performance Optimization of a Two-Chamber Microbial Fuel Cell by Response Surface Methodology

Catalysts ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1202
Author(s):  
Muhammad Nihal Naseer ◽  
Asad A. Zaidi ◽  
Hamdullah Khan ◽  
Sagar Kumar ◽  
Muhammad Taha bin Owais ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Fuel Cell ◽  
Response Surface ◽  
Microbial Fuel Cell ◽  
Power Density ◽  
Flow Rate ◽  
Feed Flow Rate ◽  
Acetate Concentration ◽  
Fuel Feed ◽  
Anodic Chamber

Microbial fuel cell, as a promising technology for simultaneous power production and waste treatment, has received a great deal of attention in recent years; however, generation of a relatively low power density is the main limitation towards its commercial application. This study contributes toward the optimization, in terms of maximization, of the power density of a microbial fuel cell by employing response surface methodology, coupled with central composite design. For this optimization study, the interactive effect of three independent parameters, namely (i) acetate concentration in the influent of anodic chamber; (ii) fuel feed flow rate in anodic chamber; and (iii) oxygen concentration in the influent of cathodic chamber, have been analyzed for a two-chamber microbial fuel cell, and the optimum conditions have been identified. The optimum value of power density was observed at an acetate concentration, a fuel feed flow rate, and an oxygen concentration value of 2.60 mol m−3, 0.0 m3, and 1.00 mol m−3, respectively. The results show the achievement of a power density of 3.425 W m−2, which is significant considering the available literature. Additionally, a statistical model has also been developed that correlates the three independent factors to the power density. For this model, R2, adjusted R2, and predicted R2 were 0.839, 0.807, and 0.703, respectively. The fact that there is only a 3.8% error in the actual and adjusted R2 demonstrates that the proposed model is statistically significant.

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