Wastewater treatment and online chemical oxygen demand estimation in a cascade of microbial fuel cells

From National Research Council Canada

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DOIResolve DOI: https://doi.org/10.1021/acs.iecr.7b02586
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Name affiliation
  1. National Research Council of Canada. Energy, Mining and Environment
FormatText, Article
Journal titleIndustrial & Engineering Chemistry Research
ISSN0888-5885
1520-5045
Volume56
Issue44
Pages12471–12478
Abstract
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.
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PublisherAmerican Chemical Society
LanguageEnglish
Peer reviewedYes
NPARC number23002466
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Record identifierb1f4492f-fa15-401b-bb0d-0b3ae7312234
Record created2017-11-14
Record modified2020-05-30
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