Multi-species mathematical modeling and dynamic simulation of a microbial electrolysis cell for biohydrogen production

Authors

DOI:

https://doi.org/10.24054/rcta.v2i48.4391

Keywords:

hydrogen, microbial electrolysis cells, methane, Coulombic efficiency, mathematical modelling

Abstract

A multi-population mathematical model was developed to analyze hydrogen production in Microbial Electrolysis Cells (MECs) under continuous operation. The model, implemented in Python, integrates the dynamics of fermentative, methanogenic, and exoelectrogenic bacteria with the electrochemical phenomena of the cell, and enabled assessment of the effects of applied voltage and substrate concentration on system performance. The results from the model show that exoelectrogenic bacteria form a mature biofilm that reduces the internal resistance of the cell, achieving hydrogen flow rates of 400 mL/d at 1.0 V and a Coulombic efficiency of 60%. The findings derived from the model represent a relevant contribution toward the optimization and industrial scale-up of this technology.

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Author Biographies

  • Juan Carlos Quintero Díaz, Universidad de Antioquia

    Ingeniero Químico, MSc. Universidad Nacional de Colombia

    PhD En Ingeniería Química y Ambiental. Universidad de Santiago de Compostela (España)

    MBA en Dirección de proyectos. Universidad de Viña del Mar (Chile)

  • Diego Fernando Mendoza Muñoz, Universidad de Antioquia

    Ingeniero Químico, MSc. PhD. Universidad Nacional de Colombia

    Posdoctorate (Escola Politecnica)

    Universidade Federal de São Paulo: Sao Paulo, BR

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Published

2026-07-02

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