Evaluation of Moving Bed Biofilm Reactor Technology for Enhancing Nitrogen Removal in a Stabilization Pond Treatment Plant

Weiss, Jeffery S.; Alvarez, Marcos; Tang, Chi‐Chung; Horváth, Róbert; Stahl, James F.

doi:10.2175/193864705783867035

Cited by 19 publications

(15 citation statements)

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“…Both forms of the equation ( and ) replicate the variation in nitrification rates with dissolved oxygen and are consistent with the data presented by Huhtamaki and Sen (2007) , Odegaard (2005b) , and Weiss et al (2005) . In the data presented by Odegaard (2005b) , the maximum nitrification rate in biofilms, measured at 11 to 15°C and operating at NH 4 N levels above 3 mg/L and low soluble COD levels, varies linearly with dissolved oxygen from 3 to 6 mg/L.…”

Section: Model Developmentsupporting

confidence: 87%

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Improved Computational Model (AQUIFAS) for Activated Sludge, Integrated Fixed‐Film Activated Sludge, and Moving‐Bed Biofilm Reactor Systems, Part I: Semi‐Empirical Model Development

Sen¹,

Randall²

2008

Water Environment Research

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Research was undertaken to develop a model for activated sludge, integrated fixed-film activated sludge (IFAS), and moving-bed biofilm reactor (MBBR) systems. The model can operate with up to 12 cells (reactors) in series, with biofilm media incorporated to one or more cells, except the anaerobic cells. The process configuration can be any combination of anaerobic, anoxic, aerobic, post-anoxic with or without supplemental carbon, and reaeration; it can also include any combination of step feed and recycles, including recycles for mixed liquor, return activated sludge, nitrates, and membrane bioreactors.This paper presents the structure of the model. The model embeds a biofilm model into a multicell activated sludge model. The biofilm flux rates for organics, nutrients, and biomass can be computed by two methods-a semiempirical model of the biofilm that is relatively simpler, or a diffusional model that is computationally intensive. The values of the kinetic parameters for the model were measured using pilot-scale activated sludge, IFAS, and MBBR systems. For the semiempirical version, a series of Monod equations were developed for chemical oxygen demand, ammonium-nitrogen, and oxidizednitrogen fluxes to the biofilm. Within the equations, a second Monod expression is used to simulate the effect of changes in biofilm thickness and fraction nitrifiers in the biofilm. The biofilm flux model is then linked to the activated sludge model. The diffusional model and the verification of the models are presented in subsequent papers (Sen and Randall, 2008a, 2008b).The model can be used to quantify the amount of media and surface area required to achieve nitrification, identify the best locations for the media, and optimize the dissolved oxygen levels and nitrate recycle rates. Some of the advanced features include the ability to apply different media types and fill fractions in cells; quantify nitrification, denitrification, and biomass production in the biofilm and mixed liquor suspended solids; and perform dynamic simulations. Water Environ. Res., 80, 439 (2008).

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Section: Model Developmentsupporting

confidence: 87%

“…These vary from 1.03 to greater than 1.07 ( Marais and Ekama, 1976 ; Randall et al, 1992 ; Wentzel et al, 1991 ). Research conducted by Weiss et al (2005) using an MBBR showed a temperature coefficient of 1.047. A value of 1.05 +/‐ 0.02 is recommended for the model.…”

Section: Model Developmentmentioning

confidence: 99%

Improved Computational Model (AQUIFAS) for Activated Sludge, Integrated Fixed‐Film Activated Sludge, and Moving‐Bed Biofilm Reactor Systems, Part I: Semi‐Empirical Model Development

Sen¹,

Randall²

2008

Water Environment Research

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“…All reactors and the feeding tank have the same pattern of DO reading. From day one, DO level shows satisfactory result with minimum 5.90 mg/L, as it is important to maintain DO level within 4.0 mg/L [14]. The pH values range from 6.3 to 8.4, and it was observed that pH tend to decrease after lake water is fed.…”

Section: Resultsmentioning

confidence: 98%

Evaluation of Different Biomedia Performance for River Purification: Preliminary Stage

Hayder

Sidek

Mohiyaden

et al. 2015

AMM

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There is national concern about rivers pollution degree. The Malaysian Department of Irrigation and Drainage (DID) is running a project for river biological purification using biomedia to reduce the river pollution degree. This study aims to use different types of biomedia carrier for effective management of the river purification plant project. Water samples were collected and tested for various essential parameters. A biomedia laboratory setup was fabricated for the research with seven different types of biomedia, and water sampling was collected daily and weekly for analysis purposes. The experimental results show that the best removal efficiency was achieved by biomedia Type 1 and was 88% and 65.5% for biochemical oxygen demand (BOD) and chemical oxygen demand (COD), respectively. Followed by biomedia Type 3 achieved an average of 58 percentage for ammonia (NH 3 -N) removal. Overall, the best removal efficiency performance of biomedia Type 1 achieved the calculated rate of 68 %. The cleanest effluent was biomedia Type 4. For accumulated biofilm formation, the highest total volatile solid (TVS) was the biomedia Type 4. Finally, the best inclusive performance is biomedia Type 1. Future studies are recommended to conduct a pilot scale study with a longer time frame and to study these selective types of biomedia in anaerobic and anoxic condition.

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“…c The value of 0.33 day 21 is determined by applying h 5 1.05 to u m,N1 of 0.625 day 21 computed at 258C, Table 1 (Sen and Randall, 2008a). Weiss et al (2005) determined a value of 1.047 for biofilm in MBBRs. 0.625 5 (0.33) (1.05) (25-12) d Literature referenced: Barker and Dold (1997), Marais and Ekama (1976), Randall et al (1992), and Wentzel et al (1991).…”

mentioning

confidence: 99%

Improved Computational Model (AQUIFAS) for Activated Sludge, Integrated Fixed‐Film Activated Sludge, and Moving‐Bed Biofilm Reactor Systems, Part II: Multilayer Biofilm Diffusional Model

Sen¹,

Randall²

2008

Water Environment Research

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Research was undertaken to develop a diffusional model of the biofilm that can be applied in lieu of a semi-empirical model to upgrade an activated sludge system to an integrated fixed-film activated sludge (IFAS) or moving-bed biofilm reactor (MBBR) system. The model has been developed to operate with up to 12 cells (reactors) in series, with biofilm media incorporated to one or more of the zone cells, except the anaerobic zone cells.The values of the kinetic parameters for the model were measured using pilot-scale activated sludge, IFAS, and MBBR systems. The biofilm is divided into 12 layers and has a stagnant liquid layer. Diffusion and substrate utilization are calculated for each layer. The equations are solved simultaneously using a finite difference technique. The biofilm flux model is then linked to the activated sludge model. Advanced features include the ability to compute the biofilm thickness and the effect of biofilm thickness on performance. The biofilm diffusional model is also used to provide information and create a table of biofilm yields at different substrate concentrations that can be used in the semi-empirical model. Water Environ. Res., 80, 624 (2008).

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Evaluation of Moving Bed Biofilm Reactor Technology for Enhancing Nitrogen Removal in a Stabilization Pond Treatment Plant

Cited by 19 publications

References 1 publication

Improved Computational Model (AQUIFAS) for Activated Sludge, Integrated Fixed‐Film Activated Sludge, and Moving‐Bed Biofilm Reactor Systems, Part I: Semi‐Empirical Model Development

Improved Computational Model (AQUIFAS) for Activated Sludge, Integrated Fixed‐Film Activated Sludge, and Moving‐Bed Biofilm Reactor Systems, Part I: Semi‐Empirical Model Development

Evaluation of Different Biomedia Performance for River Purification: Preliminary Stage

Improved Computational Model (AQUIFAS) for Activated Sludge, Integrated Fixed‐Film Activated Sludge, and Moving‐Bed Biofilm Reactor Systems, Part II: Multilayer Biofilm Diffusional Model

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