| Download | - View final version: Wastewater treatment and online chemical oxygen demand estimation in a cascade of microbial fuel cells (PDF, 1.6 MiB)
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| DOI | Resolve DOI: https://doi.org/10.1021/acs.iecr.7b02586 |
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| Author | Search for: Recio-Garrido, Didac1; Search for: Adekunle, Ademola; Search for: Perrier, Michel; Search for: Raghavan, Vijaya; Search for: Tartakovsky, Boris1 |
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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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| 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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| Publication date | 2017-10-13 |
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| Publisher | American Chemical Society |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 23002466 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | b1f4492f-fa15-401b-bb0d-0b3ae7312234 |
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| Record created | 2017-11-14 |
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| Record modified | 2020-05-30 |
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