Estimation of long-term resistance changes in a submerged MBR system using theoretical and empirical methods
Author
Term
4. term
Education
Publication year
2017
Submitted on
2017-06-10
Pages
43
Abstract
This project investigates different models used and possibly usable for modelling of resistance changes from sorption in MBR systems. The goal was to create a model for prediction of time needed to reach predetermined resistance values. Data was taken from a constant pressure submerged MBR setup, logging was done every 30 seconds over one year. Data filtering was based on standard deviation from a moving average. All models had only a subset of the full data available for fitting, whose size increased one by one after each fit. The widely used first order exponential model failed to produce any result. A modified version, the stretched exponential model had a better outcome, but it was still prone to produce errors. It was found that these models presume the existance of only one steady-state resistance value while in practice that may be not a valid assumption. A more sophisticated model was developed to overcome this difficulty, but lack of necessary data type prevented its use. Finally, an empirical model based on rate of resistance increase was able to predict cycle endtimes with greater accuracy.
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