Optimization of step-feed anoxic-oxic-membrane bioreactor (AO-MBR) with methanol addition for biological nitrogen removal in wastewater using BioWin and response surface methodology (RSM)

Aika Cecille Tolentino, Hai Hsuan Cheng, Chih Chieh Lin, Bonifacio Doma, Liang Ming Whang

Research output: Contribution to journalConference articlepeer-review

Abstract

The study optimized a step-feed anoxic-oxic membrane bioreactor (AO-MBR) with methanol addition, an existing biological nitrogen removal (BNR) process, to improve total nitrogen (TN) removal and to reduce operating costs. Methanol, utilized as an external carbon source, was costly, which led to examining ways to reduce its usage by adjusting the operational parameters and modifying the configuration. The BioWin’s built-in activated sludge model underwent calibration through biokinetic batch experiments and numerical adjustments of stoichiometric and kinetic parameters to create the BNR process model. Dynamic simulations validated the calibrated model. Using the model, a modified configuration with a 20.8% increase in total anoxic volume was proposed. This increased the anoxic hydraulic retention time, improving the denitrification process. The response surface methodology (RSM) was then used to optimize the operating parameters of the modified configuration for maximum TN removal efficiency and minimum operating cost. The optimized parameters found were 0.5 mg/L dissolved oxygen, 45 days of solid retention time, 0:1 methanol distribution ratio, and 1,794.29 L/d methanol, which all enhanced the denitrification process. This resulted in a 16% increase in TN removal efficiency, a 4.12% decrease in operating costs, and an 8.96% reduction in methanol usage.

Original languageEnglish
Article number01002
JournalE3S Web of Conferences
Volume514
DOIs
Publication statusPublished - 2024 Apr 11
Event10th International Conference on Environment and Renewable Energy, ICERE 2024 - Nha Trang, Viet Nam
Duration: 2024 Feb 252024 Feb 27

All Science Journal Classification (ASJC) codes

  • General Environmental Science
  • General Energy
  • General Earth and Planetary Sciences

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