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Coupling microbial fuel cells with a membrane photobioreactor for wastewater treatment and bioenergy production

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Abstract

Microbial fuel cells (MFCs) and membrane photobioreactors are two emerging technologies for simultaneous wastewater treatment and bioenergy production. In this study, those two technologies were coupled to form an integrated treatment system, whose performance was examined under different operating conditions. The coupled system could achieve 92–97 % removal of soluble chemical oxygen demand (SCOD) and nearly 100 % removal of ammonia. Extending the hydraulic retention time (HRT) of the membrane photobioreactor to 3.0 days improved the production of algal biomass from 44.4 ± 23.8 to 133.7 ± 12.9 mg L−1 (based on the volume of the treated water). When the MFCs were operated in a loop mode, their effluent (which was the influent to the algal reactor) contained nitrate and had a high pH, leading to the decreased algal production in the membrane photobioreactor. Energy analysis showed that the energy consumption was mainly due to the recirculation of the anolyte and the catholyte in the MFCs and that decreasing the recirculation rates could significantly reduce energy consumption. The energy production was dominated by indirect electricity generation from algal biomass. The highest energy production of 0.205 kWh m−3 was obtained with the highest algal biomass production, resulting in a theoretically positive energy balance of 0.033 kWh m−3. Those results have demonstrated that the coupled system could be an alternative approach for energy-efficient wastewater treatment and using wastewater effluent for algal production.

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Acknowledgments

This work was financially supported by a grant from National Science Foundation (#1358145). Shuai Luo was supported by a fellowship from Water INTERface IGEP, Graduate School of Virginia Tech.

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Correspondence to Zhen He.

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Tse, H.T., Luo, S., Li, J. et al. Coupling microbial fuel cells with a membrane photobioreactor for wastewater treatment and bioenergy production. Bioprocess Biosyst Eng 39, 1703–1710 (2016). https://doi.org/10.1007/s00449-016-1645-2

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  • DOI: https://doi.org/10.1007/s00449-016-1645-2

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