A dynamic compartmental model of a sequencing batch reactor (SBR) for biological phosphorus removal

Abstract

Bioreactors are usually modelled as continuous stirred tank reactors (CSTRs) or CSTRs connected in series (Tanks-In-Series configuration). In large systems with non-ideal mixing, such approaches do not sufficiently capture the complex hydrodynamics, leading to model inaccuracies due to the lumping of spatial gradients. Highly detailed computational fluid dynamics (CFD) models provide insight into complex hydrodynamics but are computationally too expensive for flow-sheet models and digital twin applications. A compartmental model (CM) can be a middle-ground by providing a more realistic representation of the hydrodynamics and still being computationally affordable. However, the hydrodynamics of a plant can be very different under varying flow conditions. Dynamic CMs can capture these changes in an elegant way. So far, the application of CMs has been limited mostly to continuous flow systems. In this study, a dynamic CM of a sequencing batch reactor (SBR) is developed for a bio-P removal process. The SBR comes with challenges for CM development due to its distinct operational stages. The dynamic CM shows significant improvements over the CSTR model (using the same biokinetic parameters) for dissolved oxygen and phosphate predictions reducing the need for model recalibration that can lead to over-fitting and limited extrapolation capability of the model. HIGHLIGHTS CFD simulations showed incomplete mixing and stagnation zones in an SBR with an anaerobic/aerobic cycle.; A dynamic compartmental model was developed for an SBR with an anaerobic/aerobic cycle.; The impact of dynamic CM was investigated on biological phosphorus removal.; The dynamic CM showed significant improvement in the model prediction power.; CMs can reduce the calibration effort for the biokinetic models.;

Keywords

• biological phosphorus removal
• compartmental modelling
• computational fluid dynamics
• sequencing batch reactors