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A Serial Biofiltration System for Effective Removal of Low-Concentration Nitrous Oxide in Oxic Gas Streams: Mathematical Modeling of Reactor Performance and Experimental Validation.

Hyun YoonMin Joon SongDaehyun D KimFabrizio SabbaSukhwan Yoon
Published in: Environmental science & technology (2019)
Wastewater treatment plants (WWTPs) are among the major anthropogenic sources of N2O, a major greenhouse gas and ozone-depleting agent. We recently devised a zero-energy zero-carbon biofiltration system easily applicable to activated sludge-type WWTPs and performed lab-scale proof-of-concept experiments. The major drawback of the system was the diminished performance observed when fully oxic gas streams were treated. Here, a serial biofiltration system was tested as a potential improvement. A laboratory system with three serially positioned biofilters, each receiving a separate feed of artificial wastewater, was fed N2O-containing gas streams of varied flow rates (200-2000 mL·min-1) and O2 concentrations (0-21%). Use of the serial setup substantially improved the reactor performance. Fed fully oxic gas at a flow rate of 1000 mL·min-1, the system removed N2O at an elimination capacity of 0.402 ± 0.009 g N2O·m-3·h-1 (52.5% removal), which was approximately 2.4-fold higher than that achieved with a single biofilter, 0.171 ± 0.024 g N2O·m-3·h-1. These data were used to validate the mathematical model developed to estimate the performance of the N2O biofiltration system. The Nash-Sutcliffe efficiency indices ranged from 0.78 to 0.93, confirming high predictability, and the model provided mechanistic insights into aerobic N2O removal and the performance enhancement achieved with the serial configuration.
Keyphrases
  • wastewater treatment
  • room temperature
  • antibiotic resistance genes
  • carbon dioxide
  • drinking water
  • high intensity
  • hydrogen peroxide
  • artificial intelligence