Cellular non-linear network model of microbial fuel cell

Tsompanas, M. A., Adamatzky, A., Ieropoulos, I., Phillips, G. N., Sirakoulis, G. and Greenman, J. (2017) Cellular non-linear network model of microbial fuel cell. BioSystems, 156-7. pp. 53-62. ISSN 0303-2647 Available from: http://eprints.uwe.ac.uk/31632

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Publisher's URL: http://dx.doi.org/10.1016/j.biosystems.2017.04.003


A cellular non-linear network (CNN) is a uniform regular array of locally connected continuous-state machines, or nodes, which update their states simultaneously in discrete time. A microbial fuel cell (MFC) is an electro-chemical reactor using the metabolism of bacteria to drive an electrical current. In a CNN model of the MFC, each node takes a vector of states which represent geometrical characteristics of the cell, like the electrodes or impermeable borders, and quantify measurable properties like bacterial population, charges produced and hydrogen ion concentrations. The model allows the study of integral reaction of the MFC, including temporal outputs, to spatial disturbances of the bacterial population and supply of nutrients. The model can also be used to evaluate inhomogeneous configurations of bacterial populations attached on the electrode biofilms.

Item Type:Article
Uncontrolled Keywords:microbial fuel cells, cellular non-linear network, spatial models
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
ID Code:31632
Deposited By: Dr A. Tsompanas
Deposited On:27 Apr 2017 10:54
Last Modified:17 May 2018 04:15

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