Approximate Analytical Expressions for the Concentrations of Acetate and Methane in the Microbial Electrochemical Cell
- 1 Department of Mathematics, Sethu Institute of Technology, Kariapatti, India
- 2 Department of Mathematics, Sethu Institute of Technology, Kariapatti, India
- 3 Department of Mathematics, Madurai Kamaraj University, Madurai, India
Abstract
Mathematical modeling of microbial electrochemical cells (MXCs) for both microbial fuel cell and microbial electrolysis cell is discussed. The model is based on the system of reaction diffusion of reaction-diffusion equation containing a non-linear term related to substrate consumption rates by electrogeneic and methanogenic microorganism in the bioflim. This paper presents the approximate analytical method to solve the non-linear differential equation that describes the diffusion coupled with acetate (substrate) consumption rates. Simple analytical expressions for the concentrations of acetate and methane have been derived for all experimental values of bulk concentration, distributions of microbial volume fraction, local potential in the biofilm and biofilm thickness. In addition, sensitivity of the parameters on concentrations is also discussed. Our analytical results are also validated with the numerical results and limiting cases results. Further, a graphical procedure for estimating the kinetic parameters is also suggested.
- Mohan, S.V., Srikanth, S., Velvizhi, G. and Lenin Babu, M. (2013) Microbial Fuel Cells Forsustainable Bioenergy Generati-On: Principles and Perspective Applications. Biofuels Technologies, 14, 335-368.
- Alavijeh, M.K., Mardanpour, M.M. and Yaghmaei. S. (2015) A Generalized Model for Complex Waste Water Treatment with Simultaneous Bioenergy Production Using the Microbial Electrochemical Cell. Electrochimica Acta, 167, 84-96.
- Pant, D., Van Bogaert, G., Diels, L. and Vanbroekhoven, K. (2010) A Review of the Substrates Used in Microbial Fuel Cells (MFCs) for Sustainable Energy Production. Bioresource Technology, 101, 1533-1543. http://dx.doi.org/10.1016/j.biortech.2009.10.017
- Kadier, A., Simayi, Y. Kalil, M.S. Abdeshahian, P. and Hamid, A.A. (2014) Review of the Substrates Used in Microbialele-Ctrolysis Cells (MECs) for Producing Sustainable and Clean Hydrogen Gas. Renewable Energy, 71, 466-472. http://dx.doi.org/10.1016/j.renene.2014.05.052
- Zhang, X.-C. and Halme, A. (1995) Modelling of a Microbial Fuel Cell Process. Biotechnology Letters, 17, 809-814. http://dx.doi.org/10.1007/BF00129009
- Oliveira, V.B., Simoes, M., Melo, L.F. and Pinto, A.M.F.R. (2013) A 1D Mathematical Model for a Microbial Fuel Cell. Energy, 61, 463-471. http://dx.doi.org/10.1016/j.energy.2013.08.055
- Pinto, R.P., Srinivasan, B., Manuel, M.F. and Tartakovsky, B. (2010) A Two-Population Bioelectrochemical Model of a Microbial Fuel Cell. Bioresource Technology, 101, 5256-5265. http://dx.doi.org/10.1016/j.biortech.2010.01.122
- Yahya, A.M., Hussain, M.A. and Abdul Wahab, A.K. (2015) Modeling Optimization, and Control of Microbial Electrolysis Cells in a Fed-Batch Reactor for Production of Renewable Bio Hydrogen Gas. International Journal of Energy Research, 39, 557-572. http://dx.doi.org/10.1002/er.3273
- Praveen, T. and Rajendran, L. (2011) Mathematical Model for Multi-Phase Micro Channel Bioreactors. International journal of Mathematical Archive, 2, 2270-2280.
- Saravanakumar, K. and Rajendran, L. (2011) Analytical Solution of the Concentration of Substrate and Effectiveness Factor for Acetophenone in Packed Bed Reactor. International Journal of Mathematical Archive, 2, 2347-2357.
- Yahya, Q.H. and Liu, M.Z. (2009) Solving Singular Boundary Value Problems of Higher Order Ordinary Differential Equation by Modifiedadomain Decomposition Method. Communications in Nonlinear Science and Numerical Simulation, 14, 2592-2596. http://dx.doi.org/10.1016/j.cnsns.2008.09.027