Real-time monitoring of a microbial electrolysis cell using an electrical equivalent circuit model

Real-time monitoring of a microbial electrolysis cell using an electrical equivalent circuit model Efforts in developing microbial electrolysis cells (MECs) resulted in several novel approaches for wastewater treatment and bioelectrosynthesis. Practical implementation of these approaches necessitates the development of an adequate system for real-time (on-line) monitoring and diagnostics of MEC performance. This study describes a simple MEC equivalent electrical circuit (EEC) model and a parameter estimation procedure, which enable such real-time monitoring. The proposed approach involves MEC voltage and current measurements during its operation with periodic power supply connection/disconnection (on/off operation) followed by parameter estimation using either numerical or analytical solution of the model. The proposed monitoring approach is demonstrated using a membraneless MEC with flow-through porous electrodes. Laboratory tests showed that changes in the influent carbon source concentration and composition significantly affect MEC total internal resistance and capacitance estimated by the model. Fast response of these EEC model parameters to changes in operating conditions enables the development of a model-based approach for real-time monitoring and fault detection. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bioprocess and Biosystems Engineering Springer Journals

Real-time monitoring of a microbial electrolysis cell using an electrical equivalent circuit model

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2018 by Crown
Subject
Chemistry; Biotechnology; Industrial and Production Engineering; Environmental Engineering/Biotechnology; Industrial Chemistry/Chemical Engineering; Food Science
ISSN
1615-7591
eISSN
1615-7605
D.O.I.
10.1007/s00449-017-1889-5
Publisher site
See Article on Publisher Site

Abstract

Efforts in developing microbial electrolysis cells (MECs) resulted in several novel approaches for wastewater treatment and bioelectrosynthesis. Practical implementation of these approaches necessitates the development of an adequate system for real-time (on-line) monitoring and diagnostics of MEC performance. This study describes a simple MEC equivalent electrical circuit (EEC) model and a parameter estimation procedure, which enable such real-time monitoring. The proposed approach involves MEC voltage and current measurements during its operation with periodic power supply connection/disconnection (on/off operation) followed by parameter estimation using either numerical or analytical solution of the model. The proposed monitoring approach is demonstrated using a membraneless MEC with flow-through porous electrodes. Laboratory tests showed that changes in the influent carbon source concentration and composition significantly affect MEC total internal resistance and capacitance estimated by the model. Fast response of these EEC model parameters to changes in operating conditions enables the development of a model-based approach for real-time monitoring and fault detection.

Journal

Bioprocess and Biosystems EngineeringSpringer Journals

Published: Feb 2, 2018

References

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