Gamunu Samarakoon
Department of Process, Energy and Environmental Technology
Dietmar Winkler
Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, Porsgrunn 3918, Norway
Vasan Sivalingam
Department of Process, Energy and Environmental Technology
Carlos Dinamarca
Department of Process, Energy and Environmental Technology
Rune Bakke
Department of Process, Energy and Environmental Technology
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https://doi.org/10.3384/ecp20176306Published in: Proceedings of The 61st SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland
Linköping Electronic Conference Proceedings 176:43, p. 306-310
Published: 2021-03-03
ISBN: 978-91-7929-731-2
ISSN: 1650-3686 (print), 1650-3740 (online)
This study intends to develop a simple mathematical model that contributes to the integration of Microbial Electrosynthesis (MES) in AD to reduce CO2 to CH4. Open-source modelling language Modelica was used to build the model. The MES internal resistances are important parameters for the model and an Electrochemical Impedance Spectroscopy (EIS) experiment was employed to estimate the resistances and distinguish the contribution from each resistance element. The model preliminary simulations show that it is possible to determine the voltage required to keep the potential difference across the cathode biofilm within optimal conditions. The system is sensitive to effects of biofilm development on electron transfer at both electrodes, which implies effects on the electrons from anode to cathode (i.e. electric current). The model will be a useful tool for extrapolating experimental results and to enhance our understanding of MES.
