Performance modelling of a partially-aerated submerged fixed-film bioreactor: Mechanistic analysis versus semi data-driven method

Salman Alizadeh Kordkandi, Ali Baradar Khosfetrat, Asaad Faramarzi

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4 Citations (Scopus)
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Abstract

A novel semi-mechanistic data-driven technique based on an evolutionary polynomial regression (EPR) was developed along with a kinetic analysis to evaluate the performance of an external loop upflow partially-aerated fixed-film bioreactor (UP/ASFF). Modelling of experimental data was carried out under different organic loading rates (OLR), solid retention time (SRT), and food to microorganisms’ ratio (F/M ratio). The results showed that the EPR model was the best approach for the performance evaluation of the UP/ASFF system with R2 of 0.93 and normalized MSE of 0.02 although the Stover-Kincannon’s model showed also a promising predication with high accuracy and R2 of 0.92.
Original languageEnglish
JournalJournal of Industrial and Engineering Chemistry
Early online date29 Dec 2017
DOIs
Publication statusE-pub ahead of print - 29 Dec 2017

Keywords

  • process analysis
  • kinetics modelling
  • evolutionary polynomial regression
  • upflow partially-aerated fixed-film bioreactor

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