Article

Modelling and dynamic simulation of a pilot-scale moving bed bioreactor for the treatment of municipal wastewater: model concepts and the use of respirometry for the estimation of kinetic parameters.

Centre de Ressources des Technologies pour l'Environnement, Centre de Recherche Public Henri Tudor, 66, rue de Luxembourg (BP 144), L-4002 Esch-sur-Alzette, Luxembourg.
Water Science & Technology (impact factor: 1.12). 02/2007; 55(8-9):309-16.
Source: PubMed

ABSTRACT A model for the simulation of a moving bed bioreactor (MBBR) used for the treatment of municipal wastewater is proposed. The model includes attachment of particulates to the biofilm and detachment of biofilm into the bulk liquid. The growth kinetics are modelled with the activated sludge model no. 1 (ASM1). Respirometry was used for the estimation of kinetic parameters. The resulting respirograms featured the typical endogenous and exogenous respiration phases and the respirogram shapes were as expected from analogous respirometry with activated sludge. The estimated parameter set was used for modelling and simulation of the pilot-scale MBBR. The main proportion of biomass in the MBBR was found to be attached as biofilm on the carrier elements (4.1 -4.6 g dm-3) and only a small amount was suspended in the bulk liquid (0.15gdm(-3)). Attachment and detachment rates were estimated to be 4.8-7.5g m(-2) d(-1) 1for attachment and 6.5-7.5g m(-2) d(-1) for detachment. The biofilm age was estimated to be 1.8-2.7d. The model was used to predict effluent quality parameters and a good fit of the simulated data to the measured data originating from a four-days-long measurement campaign was obtained.

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Keywords

activated sludge model
 
biofilm
 
biofilm age
 
bulk liquid
 
detachment rates
 
effluent quality parameters
 
estimated parameter
 
exogenous respiration phases
 
good fit
 
growth kinetics
 
kinetic parameters
 
main proportion
 
measured data originating
 
modelling
 
municipal wastewater
 
particulates
 
pilot-scale MBBR
 
respirogram shapes
 
simulated data
 
typical endogenous