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Microbial fuel cells for clogging assessment in constructed wetlands
Clara Corbella1, Joan García1, Jaume Puigagut1
1Group of Environmental Engineering and Microbiology (GEMMA), Civil and Environmental Engineering Department, Universitat Politècnica de Catalunya-BarcelonaTech, Spain.
The Science of the Total Environment
|July 10, 2016
Summary
Microbial fuel cells (MFCs) show promise for continuously monitoring clogging in horizontal subsurface flow constructed wetlands (HSSF CWs). Lower electrical charge in MFCs indicates higher sludge accumulation, correlating with increased clogging in HSSF CW systems.
Area of Science:
- Environmental Engineering
- Wastewater Treatment Technologies
- Renewable Energy Generation
Background:
- Clogging in horizontal subsurface flow constructed wetlands (HSSF CWs) diminishes system lifespan and treatment efficiency.
- Existing methods for assessing HSSF CW clogging are time-consuming and not suitable for continuous monitoring.
Purpose of the Study:
- To evaluate the potential of microbial fuel cells (MFCs) for continuous clogging assessment in HSSF CWs.
Main Methods:
- Two membrane-less MFC replicates with gravel anodes were operated for five weeks under laboratory conditions.
- MFCs were loaded weekly with accumulated sludge from a pilot HSSF CW, simulating various clogging degrees (0.2 to 5 years).
- Sludge loading rates varied from 20 to 250 kg TS·m⁻³ CW·year⁻¹.
Main Results:
- A negative correlation was observed between the electric charge produced by the MFCs and the accumulated sludge (degree of clogging).
- Electron transference, indicated by electric charge, nearly ceased at a clogging level equivalent to approximately 5 years (10 kg TS·m⁻³ CW).
- MFC performance effectively reflected the simulated clogging levels within the HSSF CW media.
Conclusions:
- HSSF CWs operated as MFCs demonstrate significant potential for real-time, continuous clogging assessment.
- Further research with extended study periods and realistic conditions is recommended to validate these findings.
- This MFC-based approach offers a more efficient alternative to traditional clogging assessment methods.
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