3 years ago

Wastewater Treatment and Online Chemical Oxygen Demand Estimation in a Cascade of Microbial Fuel Cells

Wastewater Treatment and Online Chemical Oxygen Demand Estimation in a Cascade of Microbial Fuel Cells
Vijaya Raghavan, Michel Perrier, Didac Recio-Garrido, Ademola Adekunle, Boris Tartakovsky
This study demonstrates degradation of synthetic wastewater in two MFCs hydraulically connected in series. To maximize chemical oxygen demand (COD) removal, external resistance of each MFC is optimized using a perturbation–observation maximum power point algorithm. Under optimal operating conditions a removal efficiency over 90% is achieved at an influent acetate concentration of 750 mg L–1 and organic loading rates ranging from 0.75 to 3.0 g L–1 day–1. Furthermore, regression analysis is used to correlate current and power output of each MFC with the analytically measured COD concentrations, thus providing a means for online COD estimations. The accuracy of online COD estimations is further improved by developing a model-based soft-sensor.

Publisher URL: http://dx.doi.org/10.1021/acs.iecr.7b02586

DOI: 10.1021/acs.iecr.7b02586

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