Simultaneous nitrification-denitrification using baffled osmotic membrane bioreactor-microfiltration hybrid system at different oxic-anoxic conditions for wastewater treatment
Tran, Van Huy
KAUST DepartmentEnvironmental Science and Engineering Program
Water Desalination and Reuse Research Center (WDRC)
Biological and Environmental Sciences and Engineering (BESE) Division
Online Publication Date2019-10-22
Print Publication Date2020-01
Permanent link to this recordhttp://hdl.handle.net/10754/659225
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AbstractThe efficacy of a baffled osmotic membrane bioreactor-microfiltration (OMBR-MF) hybrid system equipped with thin film forward osmosis membrane for wastewater treatment was evaluated at laboratory scale. The novel OMBR-MF hybrid system involved baffles, that separate oxic and anoxic zones in the aerobic reactor for simultaneous nitrification and denitrification (SND), and a bioreactor comprised of thin film composite-forward osmosis (TFC-FO) and polyether sulfone-microfiltration (PES-MF) membranes. The evaluation was conducted under four different oxic-anoxic cycle patterns. Changes in flux, salinity build-up, and microbial activity (e.g., extracellular polymeric substances (EPS) were assessed. Over the course of a 34 d test, the OMBR-MF hybrid system achieved high removal of total organic carbon (TOC) (86–92%), total nitrogen (TN) (63–76%), and PO4–P (57–63%). The oxic-anoxic cycle time of 0.5–1.5 h was identified to be the best operating condition. Incorporation of MF membrane effectively alleviated salinity build-up in the reactor, allowing stable system operation.
CitationPathak, N., Phuntsho, S., Tran, V. H., Johir, M. A. H., Ghaffour, N., Leiknes, T., … Shon, H. K. (2020). Simultaneous nitrification-denitrification using baffled osmotic membrane bioreactor-microfiltration hybrid system at different oxic-anoxic conditions for wastewater treatment. Journal of Environmental Management, 253, 109685. doi:10.1016/j.jenvman.2019.109685
SponsorsThis study is funded by the Bhutan Trust Fund for Environmental Conservation (BTFEC) [Project Grant No. MB0167Y16]. The research reported in this paper was also supported by King Abdullah University of Science and Technology (KAUST), Saudi Arabia through the Competitive Research Grant Program – CRG2017 (CRG6), Grant # URF/1/3404-01. PhD candidate Nirenkumar Pathak would like to acknowledge scholarship support from Commonwealth of Australia under Research Training Program (RTP).