| DOI | Resolve DOI: https://doi.org/10.1007/s00449-017-1889-5 |
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| Author | Search for: Hussain, S. A.; Search for: Perrier, M.; Search for: Tartakovsky, B.1 |
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| Name affiliation | - National Research Council of Canada. Energy, Mining and Environment
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| Format | Text, Article |
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| Journal title | Bioprocess and Biosystems Engineering |
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| ISSN | 1615-7591
1615-7605 |
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| Subject | MEC; equivalent circuit model; parameter estimation; on-line monitoring |
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| 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. |
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| Publication date | 2018-02-02 |
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| Publisher | Springer |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 23002807 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction |
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Record identifier | 8f874c3f-8a89-493f-b9cc-12e26ac3582d | | Record created | 2018-03-02 |
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| Record modified | 2020-03-16 |
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