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 language | English |
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Journal | Journal of Industrial and Engineering Chemistry |
Early online date | 29 Dec 2017 |
DOIs | |
Publication status | E-pub ahead of print - 29 Dec 2017 |
Keywords
- process analysis
- kinetics modelling
- evolutionary polynomial regression
- upflow partially-aerated fixed-film bioreactor