AI Article Synopsis

  • The integrated fixed-film activated sludge (IFAS) process is designed to improve nitrogen removal in wastewater treatment by using a combination of traditional activated sludge systems and biofilm carriers.
  • This study focuses on creating and evaluating a numerical model for a new IFAS configuration, which includes an anoxic reactor, an aerobic reactor, and an IFAS reactor with a specific filling ratio.
  • The model successfully predicts key performance indicators like sludge mass variations, nitrification rates, and nitrogen concentrations in effluent over different time frames, proposing calibrated parameters to enhance prediction accuracy.

Article Abstract

The integrated fixed-film activated sludge (IFAS) process is being increasingly used to enhance nitrogen removal for former activated sludge systems. The aim of this work is to evaluate a numerical model of a new nitrifying/denitrifying IFAS configuration. It consists of two carrier-free reactors (anoxic and aerobic) and one IFAS reactor with a filling ratio of 43% of carriers, followed by a clarifier. Simulations were carried out with GPS-X involving the nitrification reaction combined with a 1D heterogeneous biofilm model, including attachment/detachment processes. An original iterative calibration protocol was created comprising four steps and nine actions. Experimental campaigns were carried out to collect data on the pilot in operation, specifically for modelling purpose. The model used was able to predict properly the variations of the activated sludge (bulk) and the biofilm masses, the nitrification rates of both the activated sludge and the biofilm, and the nitrogen concentration in the effluent for short (4-10 days) and long (300 days) simulation runs. A calibrated parameter set is proposed (biokinetics, detachment, diffusion) related to the activated sludge, the biofilm and the effluent variables to enhance the model prediction on hourly and daily data sets.

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Source
http://dx.doi.org/10.1007/s00449-017-1862-3DOI Listing

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