Design mining microbial fuel cell cascades
Design mining microbial fuel cell cascades
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DOI：
10.1007/s00500-018-3117-x
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发表时间：
2016-10
期刊：
影响因子：
4.1
通讯作者：
R. Preen;Jiseon You;L. Bull;I. Ieropoulos
中科院分区：
文献类型：
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作者：
R. Preen;Jiseon You;L. Bull;I. Ieropoulos
微生物燃料电池(MFC)通过利用微生物转化有机物进行废水处理和发电。对于实际应用，有人建议将多个MFC单元布置成级联的物理堆栈，并在单元之间按顺序流动原料，可以获得更高的效率。在这篇文章中，我们研究了使用协作协进化来物理地探索和优化(潜在的)级联中的异质MFC设计，即不需要模拟。导电结构采用3D打印并插入每个MFC单元的阳极室，增加了碳纤维面罩阳极，影响了流体动力学，包括进料量和水力停留时间，并为微生物定植提供了独特的栖息地。我们证明了使用设计挖掘来确定新的导电嵌件是可能的，该嵌件既可以增加级联功率输出，又可以增加功率密度。
Microbial fuel cells (MFCs) perform wastewater treatment and electricity production through the conversion of organic matter using microorganisms. For practical applications, it has been suggested that greater efficiency can be achieved by arranging multiple MFC units into physical stacks in a cascade with feedstock flowing sequentially between units. In this article, we investigate the use of cooperative coevolution to physically explore and optimise (potentially) heterogeneous MFC designs in a cascade, i.e. without simulation. Conductive structures are 3D-printed and inserted into the anodic chamber of each MFC unit, augmenting a carbon fibre veil anode and affecting the hydrodynamics, including the feedstock volume and hydraulic retention time, as well as providing unique habitats for microbial colonisation. We show that it is possible to use design mining to identify new conductive inserts that increase both the cascade power output and power density.