Comparison of Conduction Based and Mediator Based Models for Microbial Fuel Cells

Document Type: Research Paper

Authors

Department of Chemical Engineering, Isfahan University of Technology, Isfahan, 8415683111, Iran

Abstract

Microbial fuel cells (MFCs) are processes used for simultanuous bioenergy capturing and waste treatment. In this study, a model for MFCs based upon a conduction mechanism for electron transfer is proposed, which integrates substrate utilization, current production and conduction and  microbial distribution and growth in batch flow mode. The outputs of the model and that of a mediator based model are compared with respect to reference experimental results under a well controled conditions using time evolution of produced current. The comparison shows that the electron shuttling mechanism appears to fail to predict the experimental data accurately enough while the conduction based model is able to reproduce measurements consistently.

Keywords


[1] Watanabe K., “Recent Developments in Microbial Fuel Cell Technologies for Sustainable Bioenergy”, 2008, Journal of Bioscience and Bioengineering, Vol. 106, pp. 528–536.

[2] Logan B.E., microbail fuel cells, Newyork : wiley, 2007.

[3] Logan B.E. & Regan,J.M. “Microbial fuel cells: challenges and applications”, Environmental Science & Technology, pp. 5172-5180. 2006.

[4] Logan B.E, Hamelers B., Rozendal R., Schroder U., Keller,J., Freguia,S., Aelterman P., Verstraete W. & Rabaey K, “Microbial Fuel Cells: Methodology and Technology”, Environmental Science & Technology, Vol. 40, pp. 5181-5192, 2006.

[5] Schroder U., “Microbial Fuel Cells”, s.l. : Elsevier B.V., 2009.

[6] Rittmann B.E., Conduction based Modeling of the Biofilm Anode of a Microbial Fuel Cell. Marcus, A.K., Torres,C.I.,  “Biotechnology and Bioengineering”, Vol. 98, pp. 1171-1182, 2007.

[7] Picioreanu C., Head I.M., Katuri K.P., van Loosdrecht M.C.M., Scott K., “A computational model for biofilm-based microbial fuel cells”, Water Research, Vol. 41, pp. 2921-2940, 2007.

[8] Picioreanu C., van Loosdrecht M.C.M., Curtis T.P. &Scott K., “Model based evaluation of the effect of pH and electrode geometry on microbial fuel cell performance”, Bioelectrochemistry, pp. 8–24, 2010.

[9] Lovley D.R. & Bond D.R., 2003, Applied and Environmental Microbiology, “Electricity Production by Geobacter sulfurreducens Attached to Electrodes”, pp. 1548–1555.

[10] Chaudhuri S.K. & Lovley D.R.. “Electricity generation by direct oxidation of glucose in mediatorless microbial fuel cells”, Nature Biotechnology, pp. 1-4, 2003.

[11] Picioreanu C., Katuri K.P., van Loosdrecht M.C.M., Head I.M. & Scott K., “Modelling microbial fuel cells with suspended cells and added electron transfer mediator”, Journal of Applied Electrochemistry, Vol. 40, pp. 151-162,  2010.

[12] Torres C.I., Marcus A.K. & Rittmann,B.E., Proton Transport Inside the Biofilm Limits Electrical Current Generation by Anode-Respiring Bacteria, “Biotechnology and Bioengineering”, Vol. 100, pp. 872-881, 2008.

[13] Torres C.I., Marcus A.K., Parameswaran P. & Rittmann B.E., “Kinetic Experiments for Evaluating the Nernst-Monod Model for Anode-Respiring Bacteria (ARB) in a Biofilm Anode”, Environmental Science & Technology, Vol. 42, pp. 6593-6597, 2008.

[14] Rittmann B.E. & McCarty P.L., Environmental Biotechnology, Principles and Applications. s.l. : McGrow-Hill, 2001.

[15] Bernardin D.M. & Verbrugge M.W. “Mathematical-model of a gas-diffusion electrode bonded to a polymer electrolyte”. 1991, AIChE journal, Vol. 37, pp. 1151-1163.

[16] Rittmann B.E. & Manem J.A., “Development and experimental evaluation of a steady-state, multispecies biofilm model”, Biotechnolgy and Bioengineering, Vol. 39, pp. 914–922, 1992.

[17] Wanner O. & Gujer W., A multispecies biofilm model. , Biotechnology and Bioengineering, Vol. 28, pp. 314-328, 1986.

[18] Constantinides A., Mostoufi N., Numerical methods for chemical engineers with MATLAB application, s.l. : Prentice Hall, 1999.

[19] Coleman T.F. & Li Y., An Interior, “Trust Region Approach for Nonlinear Minimization Subject to Bounds”, 1996, SIAM Journal on Optimization, Vol. 6, pp. 418-445.