Simple modelling approach using Modelica for microbial electrosynthesis

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

Ladda ner artikelhttps://doi.org/10.3384/ecp20176306

Ingår i: Proceedings of The 61st SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland

Linköping Electronic Conference Proceedings 176:43, s. 306-310

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Publicerad: 2021-03-03

ISBN: 978-91-7929-731-2

ISSN: 1650-3686 (tryckt), 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.


microbial electrosynthesis, bio-methane, CO2 reduction, Modelica


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