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A comparative study of different electrochemical methods to determine cell internal parameters of microbial fuel cells

机译:不同电化学方法测定微生物燃料电池细胞内参数的比较研究

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摘要

The efficient energy recovery from wastewater through microbial fuel cells (MFC) depends on a comprehensive understanding of the electrochemical properties of the system. Different methods to infer electrochemical parameters can be applied. However, the absence of studies confirming the compatibility and inter-validity of these methods makes their comparison difficult. In this study six different electrochemical methods were compared in triplicate MFCs: i) varying circuit resistance (VCR); ii) linear sweep voltammetry (LSV); iii) current interruption (CI); iv) electrochemical impedance spectroscopy (EIS); v) pulse width modulation (R-PWM); and vi) the perturbation observation (P/O) algorithm. Comparative investigations of the ohmic resistances from CI (73.0 ? 11.4 0), EIS (70.8 ? 11.1 0) and R-PWM (73.3 ? 11.2 0) showed high agreement. Further analysis of the activation resistances using detailed model-based methods, such as EIS (26.0 ? 10.9 0) and R-PWM (25.0 ? 3.0 0) demonstrated that both methods provide identical results. The applicability of the R-PWM mode as a real-time optimization method can be supported by the calculated maximum power densities from VCR and LSV together with the adjusted resistance from the P/O algorithm. In R-PWM mode theoretical power densities up to 95% of the maximum power point can be achieved.
机译:通过微生物燃料电池(MFC)从废水中的有效能量回收取决于对系统电化学性质的全面了解。可以应用推断电化学参数的不同方法。然而,没有研究这些方法的兼容性和有效性的研究使其比较困难。在本研究中,将六种不同的电化学方法以三份的MFCS进行比较:i)不同的电路阻力(VCR); ii)线性扫描伏安法(LSV); iii)目前的中断(CI); iv)电化学阻抗光谱(EIS); v)脉冲宽度调制(R-PWM);和VI)扰动观察(P / O)算法。来自CI(73.0'11.4 0),EIS(70.8〜11.1 0)和R-PWM(73.3'11.20)的比较调查显示高一致性。进一步分析了使用基于微型模型的方法的激活电阻,例如EIS(26.0?10.9 0)和R-PWM(25.0?3.0 0)表明两种方法都提供了相同的结果。 R-PWM模式作为实时优化方法的适用性可以通过VCR和LSV的计算最大功率密度与来自P / O算法的调节电阻一起支持。在R-PWM模式中,可以实现高达95%的理论功率密度,可以实现最大功率点的95%。

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