Water Science and Technology (Aug 2022)

Modelling of aerobic granular sludge reactors: the importance of hydrodynamic regimes, selective sludge removal and gradients

  • Nicolas Derlon,
  • Mercedes Garcia Villodres,
  • Róbert Kovács,
  • Antoine Brison,
  • Manuel Layer,
  • Imre Takács,
  • Eberhard Morgenroth

DOI
https://doi.org/10.2166/wst.2022.220
Journal volume & issue
Vol. 86, no. 3
pp. 410 – 431

Abstract

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Hydraulic selection is a key feature of aerobic granular sludge (AGS) systems but existing aerobic granular sludge (AGS) models neglect those mechanisms: gradients over reactor height (Hreactor), selective removal of slow settling sludge, etc. This study aimed at evaluating to what extent integration of those additional processes into AGS models is needed, i.e., at demonstrating that model predictions (biomass inventory, microbial activities and effluent quality) are affected by such additional model complexity. We therefore developed a new AGS model that includes key features of full-scale AGS systems: fill-draw operation, selective sludge removal, distinct settling models for flocs/granules. We then compared predictions of our model to those of a fully mixed AGS model. Our results demonstrate that hydraulic selection can be predicted with an assembly of four continuous stirred tank reactors in series together with a correction code for plug-flow. Concentration gradients over the reactor height during settling/plug-flow feeding strongly impact the predictions of aerobic granular sludge models in terms of microbial selection, microbial activities and ultimately effluent quality. Hydraulic selection is a key to predict selection of storing microorganisms (phosphorus-accumulating organisms (PAO) and glycogen-accumulating organisms (GAO)) and in turn effluent quality in terms of total phosphorus, and for predicting effluent solid concentration and dynamic during plug-flow feeding. HIGHLIGHTS New model for aerobic granular sludge system developed.; Hydraulic selection of granules (bed stratification, plug flow feeding, etc.) are included.; Gradients over reactor height predicted with a series of four CSTRs plus plug-flow correction code.; Concentration gradients over Hreactor strongly impact predictions in terms of microbial selection, microbial activities and effluent quality.;

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