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

机译:使用等效电路模型实时监控微生物电解池

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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.
机译:开发微生物电解池(MEC)的努力导致了废水处理和生物电合成的几种新颖方法。这些方法的实际实施需要开发一个适当的系统来实时(在线)监视和诊断MEC性能。这项研究描述了一个简单的MEC等效电路(EEC)模型和参数估计程序,可以实现这种实时监控。所提出的方法涉及在其操作期间使用定期电源连接/断开(开/关操作)进行MEC电压和电流测量,然后使用模型的数值或解析解进行参数估计。使用带有流通式多孔电极的无膜MEC演示了建议的监控方法。实验室测试表明,进水碳源浓度和组成的变化会显着影响该模型估计的MEC总内部电阻和电容。这些EEC模型参数对运行条件变化的快速响应,使得能够开发基于模型的方法进行实时监视和故障检测。

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