Novel Analytical Microbial Fuel Cell Design for Rapid in Situ Optimisation of Dilution Rate and Substrate Supply Rate, by Flow, Volume Control and Anode Placement

Novel Analytical Microbial Fuel Cell Design for Rapid in Situ Optimisation of Dilution Rate and Substrate Supply Rate, by Flow, Volume Control and Anode Placement
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DOI:
10.3390/en11092377
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发表时间:
2018-09
期刊:
影响因子:
3.2
通讯作者:
Jiseon You;J. Greenman;I. Ieropoulos
Jiseon You;J. Greenman;I. Ieropoulos
中科院分区:
工程技术4区
文献类型:
--
作者:
Jiseon You;J. Greenman;I. Ieropoulos

文献摘要

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一个新的分析设计的连续进料微生物燃料电池的三个副本,以调查的关系和各种操作参数,如流速和底物供应率的影响,在功率输出和化学需氧量(COD)去除效率。这种新颖的设计使得微生物燃料电池(MFC)系统能够通过改变阳极到膜的距离或阳极体积来容易地原位调节,而不需要为每个条件构建许多试错原型。采用最佳反应器配置获得20.7 ± 1.9 µW的最大功率输出;原料中的2 mM乙酸盐浓度与77 mL h-1的流速、10 mL的阳极体积和70 cm 2的阳极电极表面积(2.9 cm 2投影面积)结合,使用距膜1 cm的阳极距离。COD去除几乎显示出与发电相反的模式,这表明在该特定实施例中这两个参数之间的权衡相关性。这种新颖的设计可以最方便地用于生成用于测试的经验数据,并利用适当的实践和理论建模来创建新的MFC设计。
A new analytical design of continuously-fed microbial fuel cell was built in triplicate in order to investigate relations and effects of various operating parameters such as flow rate and substrate supply rate, in terms of power output and chemical oxygen demand (COD) removal efficiency. This novel design enables the microbial fuel cell (MFC) systems to be easily adjusted in situ by changing anode distance to the membrane or anodic volume without the necessity of building many trial-and-error prototypes for each condition. A maximum power output of 20.7 ± 1.9 µW was obtained with an optimal reactor configuration; 2 mM acetate concentration in the feedstock coupled with a flow rate of 77 mL h−1, an anodic volume of 10 mL and an anode electrode surface area of 70 cm2 (2.9 cm2 projected area), using a 1 cm anode distance from the membrane. COD removal almost showed the reverse pattern with power generation, which suggests trade-off correlation between these two parameters, in this particular example. This novel design may be most conveniently employed for generating empirical data for testing and creating new MFC designs with appropriate practical and theoretical modelling.