A scalable model of fluid flow, substrate removal and current production in microbial fuel cells.
A scalable model of fluid flow, substrate removal and current production in microbial fuel cells.
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DOI：
10.1016/j.chemosphere.2021.132686
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发表时间：
2021-11
期刊：
影响因子：
8.8
通讯作者：
Jordan R. Day;E. Heidrich;T. Wood
中科院分区：
文献类型：
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作者：
Jordan R. Day;E. Heidrich;T. Wood
数学建模可以减少设计复杂系统所需的成本和时间，并越来越多地用于微生物电化学技术（MET）。要有价值，这些模型必须足够复杂，以再现MET的重要行为，但又足够简单，以深入了解这种行为的根本原因。理想情况下，模型还必须可扩展到未来的工业应用，而不是仅限于描述现有的实验室实验。我们提出了一个可扩展的模型，用于模拟微生物燃料电池（MFC）中的流体流动和生物电化学过程，对实验中试规模的生物反应器进行基准测试。该模型描述了通过一个二维的流体域，和阳极表面上的生物膜生长的基板运输。电子转移是通过细胞内氧化还原介体实现的。我们发现显着的空间变化，基板浓度和电流密度。反应器布局的简单改变可以大大提高整体效率，以衬底去除和产生的总电流来衡量。
Mathematical modelling can reduce the cost and time required to design complex systems, and is being increasingly used in microbial electrochemical technologies (METs). To be of value such models must be complex enough to reproduce important behaviour of MET, yet simple enough to provide insight into underlying causes of this behaviour. Ideally, models must also be scalable to future industrial applications, rather than limited to describing existing laboratory experiments. We present a scalable model for simulating both fluid flow and bioelectrochemical processes in microbial fuel cells (MFCs), benchmarking against an experimental pilot-scale bioreactor. The model describes substrate transport through a two-dimensional fluid domain, and biofilm growth on anode surfaces. Electron transfer is achieved by an intracellular redox mediator. We find significant spatial variations in both substrate concentration and current density. Simple changes to the reactor layout can greatly improve the overall efficiency, measured in terms of substrate removal and total current generated.