Modeling Integrated Fixed-Film Activated Sludge (IFAS) and Moving Bed Biofilm Reactor (MBBR) Systems: Development and Evaluation

Boltz, Joshua P.; Johnson, Bruce R.; Sandino, Julián; Elenter, Deborah

doi:10.2175/193864708788804676

Cited by 10 publications

(23 citation statements)

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“…According to Purtschert and Gujer (1999), the type II methanol degrading heterotrophic organism (X M,2 ) yield (Y M,2 ) is 0.44 g COD/g COD. However, the Y M,2 value 0.36 g COD/g COD was used when applying the model developed in this paper which is consistent with model development and verification by Boltz et al (2009a;2009b) who simulated post-denitrification MBBRs. Applying these parameter values, the amount of phosphorus required for biological denitrification can be estimated.…”

Section: Phosphorus Requirements As a Macronutrient In Postdenitrificsupporting

confidence: 72%

Method to identify potential phosphorus rate-limiting conditions in post-denitrification biofilm reactors within systems designed for simultaneous low-level effluent nitrogen and phosphorus concentrations

et al. 2012

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Section: Phosphorus Requirements As a Macronutrient In Postdenitrificsupporting

confidence: 72%

Method to identify potential phosphorus rate-limiting conditions in post-denitrification biofilm reactors within systems designed for simultaneous low-level effluent nitrogen and phosphorus concentrations

et al. 2012

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“…2279-2287. Methanol degraders 2 (only denitrification system) g COD m -3 ( * ) Not introduced as state variable, but calculated from the state variables X H , X A , X I , X S , X M1 , and X M2 Boltz et al (2009) Saturation coefficient for alkalinity (HCO 3 -) 0.10 mole HCO 3 -m -3 -( * ) this study, ( ** ) Wiesmann (1994), ( *** ) set to the same value as K NO3,H , ( **** ) Boltz et al (2009) Biofilm parameters D F /D Ratio of diffusion in biofilm to diffusion in water 0.8 -ε l Fraction of the liquid volume in the biofilm 0.8 -X F,tot Biofilm density 25000 g COD X /m 3 ρ X Biomass density in the biofilm (X F,tot /(1-ε l )) 125000 g COD X /m 3 L F,tot Biofilm thickness 200 µm L L External mass transfer layer thickness 100 µm ( * ) The value for the diffusion coefficient for slowly biodegradable substrate is rather uncertain and may vary considerably.…”

Section: Discussionmentioning

confidence: 99%

Critical Components of Biofilm Models for Engineering Practice

Boltz¹,

Morgenroth²,

Brockmann³

et al. 2010

proc water environ fed

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Biofilm models are valuable tools for process engineers despite several uncertainties including the dynamics and rate of biofilm detachment, concentration gradients external to the biofilm surface, and undefined biofilm reactor model calibration protocol. The present investigation serves to (1) evaluate two ad hoc model calibration procedures, (2) systematically evaluate critical biofilm model assumptions and components, and (3) conduct a sensitivity analysis with the aim of identifying parameter subsets for biofilm reactor model calibration. AQUASIM was used to describe submerged-completely mixed combined carbon oxidation and nitrification IFAS and MBBR systems, and tertiary nitrification and denitrification MBBRs. The magnitude of model output dependency on uncertainties in model parameters was determined by means of a sensitivity analysis. The following conclusions were drawn from this work. Ad-hoc expert-based trial and error calibration may have limited applicability as resulting parameters are often not sufficiently general to predict system performance during other periods, even for the same wastewater treatment plant. At both temperatures simulated (T = 20°C and 12°C), each system modeled was sensitive to changes in the biofilm parameter mass transfer boundary layer thickness (L L ). Sensitivity of model predictions to kinetic and biofilm parameters is strongly influenced by temperature. A cold temperature local sensitivity analysis provided evidence that biofilm models are sensitive to changes in mass transfer boundary layer thickness (L L ), diffusivity coefficient (D), maximum growth rate (µ), and affinity constant (K) for the ratelimiting substrate. No simple recommendations for the more appropriate model calibration methodology can be suggested as sensitivity of model predictions significantly depends on environmental conditions (e.g., temperature) and treatment objectives (e.g., nitrification, denitrification).

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“…Process Model Simulation Tool -The process model used in this study is an extension of the submerged biofilm and integrated fixed-film activated sludge reactor model previously presented and evaluated by Boltz et al (2009a;2009b;2009c). The model considers activated sludge and biofilm biochemical transformation processes (and competition for electron donors, electron acceptors, and macronutrients), mass transfer resistances internal and external to the biofilm; and bacterial competition for space inside the biofilm.…”

Section: Methodsmentioning

confidence: 99%

Interactions Between Suspended Biomass and Biofilm in Integrated Fixed-Film Activated Sludge (IFAS) Bioreactors: Process Design Implications for IFAS Systems

McQuarrie¹,

Boltz²

2010

proc water environ fed

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A sensitivity analysis is conducted using a process model that considers the biofilm biochemical transformation processes, mass transfer resistances internal and external to the biofilm; and bacterial competition for space inside the biofilm along with the kinetics of the suspended growth component of IFAS systems. Results of the sensitivity analysis are compared with field trial observations. The paper proposes a design convention that considers the calculated nitrification safety factor to determine the configuration of the IFAS system design.

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Modeling Integrated Fixed-Film Activated Sludge (IFAS) and Moving Bed Biofilm Reactor (MBBR) Systems: Development and Evaluation

Cited by 10 publications

References 0 publications

Method to identify potential phosphorus rate-limiting conditions in post-denitrification biofilm reactors within systems designed for simultaneous low-level effluent nitrogen and phosphorus concentrations

Method to identify potential phosphorus rate-limiting conditions in post-denitrification biofilm reactors within systems designed for simultaneous low-level effluent nitrogen and phosphorus concentrations

Critical Components of Biofilm Models for Engineering Practice

Interactions Between Suspended Biomass and Biofilm in Integrated Fixed-Film Activated Sludge (IFAS) Bioreactors: Process Design Implications for IFAS Systems

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