Upflow biological filter: Modeling and simulation of filtration

Tallec, Xavier Le; Vidal, A.; Thornberg, Dines

doi:10.1016/s0273-1223(99)00059-1

Cited by 9 publications

(2 citation statements)

References 5 publications

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“…In the past, there has been considerable work on biological aerated filters (BAFs) focused on the optimisation of their design and operation (Le Tallec et al 1999;Mann et al 1999; Moore et al 2001). However, this has left a gap in understanding the role of the attached and suspended biomass in the reactor.…”

Section: Introductionmentioning

confidence: 99%

Effect of full and partial-bed configuration on carbon removal performance of biological aerated filters

Sujá

Donnelly

2008

Water Science and Technology

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A comparative study to explore the characteristics of partially and fully packed biological aerated filters (BAFs) in the removal of carbon pollutant, reveals that the partial-bed reactor can perform comparably well with the full-bed reactor. The organic removal rate was 5.34 kg COD m(-3) d(-1) at Organic Loading Rates (OLR) 5.80+/-0.31 kg COD m(-3) d(-1) for the full-bed, and 5.22 kg COD m(-3) d(-1) at OLR 5.79+/-0.29 kg COD m(-3) d(-1) for the partial-bed. In the partial-bed system, where the masses of biomass were only 41-51% of those of the full-bed, the maximum carbon removal limit was still between 5 to 6 kg COD m(-3) d(-1). At organic loadings above 5.0 kg COD m(-3) d(-1), the carbon removal capacity in both systems was limited by the mass and activity of microorganisms. The SRT in the full and partial-bed reactors was primarily controlled by the biomass loss in the effluent and during backwash operation. The SRT was reduced from 20.08 days at OLR 4.18+/-0.20 kg COD m(-3) d(-1) to 7.62 days at OLR 5.80+/-0.31 kg COD m(-3) d(-1) in the full-bed, and from 7.17 days to 4.21 days in the partial-bed. After all, SRT values in the partial-bed were always lower than those in the full-bed.

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Section: Introductionmentioning

confidence: 99%

Effect of full and partial-bed configuration on carbon removal performance of biological aerated filters

Sujá

Donnelly

2008

Water Science and Technology

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“…There are models that describe some of the mechanisms occurring in the biofilter. For example, Le Tallec et al (1999) developed a filtration model establishing links between several parameters, such as TSS retention, water porosity, head loss and the filter coefficient without representation of biological processes. Two one-dimensional models considering only pollution in soluble form or the absence of diffusion phenomena in the biofilm have been developed recently (Viotti et al, 2002;Hidaka and Tsuno, 2004).…”

Section: Introductionmentioning

confidence: 99%

Toward an operational dynamic model for tertiary nitrification by submerged biofiltration

Vigne

Choubert²,

Canler³

et al. 2007

Water Science and Technology

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This work deals with the methodology put in place to fit and validate the parameters of a biofiltration model (BAF) in tertiary nitrification treatment and dynamic conditions. For an average loading rate of 0.65 kg NH4-N/m(3) media/d, different time loading rates are applied inside a filtration-backwash run using a semi-industrial pilot. Comparisons between predicted and observed values on the NH4-N, NO3-N and TSS in treated water and the total head loss deltaP are carried out firstly using default values of BAF parameters. Model predictions overestimate values measured but trends are well reproduced. A sensitivity analysis is carried out and the hierarchy of BAF parameters has been set up classifying them into strong and low influence on the effluent concentrations. Among parameters revealing the strongest influence are those of the filtration module and the mean density of biofilm for the TSS effluent and the total AP, the specific autotrophic growth rate, the maximum biofilm thickness and the reduction coefficient of diffusivity in the biofilm for the NH4-N, NO3-N effluent. Finally, this classification leads to setting a calibration procedure, thanks to specific experimental tests directly measuring some BAF parameters.

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Development and application of kinetic model on biological anoxic/aerobic filter

et al. 2008

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Upflow biological filter: Modeling and simulation of filtration

Cited by 9 publications

References 5 publications

Effect of full and partial-bed configuration on carbon removal performance of biological aerated filters

Effect of full and partial-bed configuration on carbon removal performance of biological aerated filters

Toward an operational dynamic model for tertiary nitrification by submerged biofiltration

Development and application of kinetic model on biological anoxic/aerobic filter

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