Design of Denitrification Systems Using Methanol

́cs, I. Tak; O'Shaugnessy, M.; Murthy, Sudhir; Brian, K.; Shirodkar, Nick; Katehis, Dimitrios

doi:10.2175/193864707787976632

Cited by 5 publications

(4 citation statements)

References 3 publications

(3 reference statements)

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“…Subsequently, the denitrification potential of each carbon source and values of the most important kinetic and stoichiometric parameters for the denitrification process were evaluated. Takacs et al [9] accurately simulated four full-scale wastewater treatment plants (WWTPs) with an expanded BioWin model (Envirosim, Canada) under aerobic conditions. Dold et al [10] used modeling to design optimal batch tests procedures, and to estimate the maximum specific growth rate of heterotrophs under anoxic conditions.…”

Section: Resultsmentioning

confidence: 99%

Computer Simulation in Predicting Biochemical Processes and Energy Balance at WWTPs

2018

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Abstract. Nowadays, the use of mathematical models and computer simulation allow analysis of many different technological solutions as well as testing various scenarios in a short time and at low financial budget in order to simulate the scenario under typical conditions for the real system and help to find the best solution in design or operation process. The aim of the study was to evaluate different concepts of biochemical processes and energy balance modelling using a simulation platform GPS-x and a comprehensive model Mantis2. The paper presents the example of calibration and validation processes in the biological reactor as well as scenarios showing an influence of operational parameters on the WWTP energy balance. The results of batch tests and full-scale campaign obtained in the former work were used to predict biochemical and operational parameters in a newly developed plant model. The model was extended with sludge treatment devices, including anaerobic digester. Primary sludge removal efficiency was found as a significant factor determining biogas production and further renewable energy production in cogeneration. Water and wastewater utilities, which run and control WWTP, are interested in optimizing the process in order to save environment, their budget and decrease the pollutant emissions to water and air. In this context, computer simulation can be the easiest and very useful tool to improve the efficiency without interfering in the actual process performance.

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Section: Resultsmentioning

confidence: 99%

Computer Simulation in Predicting Biochemical Processes and Energy Balance at WWTPs

2018

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“…Methanol degradation was modeled using two types of microorganisms, depending on whether their methanol uptake was done under anoxic or aerobic conditions. Takacs et al (2007) accurately simulated methanol utilization in four full-scale wastewater treatment plants (WWTPs) with an expanded BioWin model (EnviroSim Associates Ltd., Hamilton, Ontario, Canada) that added an additional biomass component for aerobic growth of methylotrophs on methanol and removed that ability for other heterotrophic bacteria in the model to use methanol under aerobic conditions. Dold et al (2007) used modeling to design optimal batch tests procedures and estimate the maximum specific growth rate of heterotrophs grown under anoxic conditions for methanol and other external carbon sources such as ethanol, acetate, and sugar.…”

Section: Introductionmentioning

confidence: 99%

Modeling External Carbon Addition in Biological Nutrient Removal Processes with an Extension of the International Water Association Activated Sludge Model

Swinarski¹,

Mąkinia

Hd³

et al. 2012

Water Environment Research

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BSTRACT: The aim of this study was to expand the International Water Association Activated Sludge Model No. 2d (ASM2d) to account for a newly defined readiiy biodegradable substrate that can be consumed by polyphosphate-accumulating organisms (PAOs) under anoxic and aerobic conditions, but not under anaerobic conditions. The model change was to add a new substrate component and process terms for its use by PAOs and other heterotrophic bacteria under anoxic and aerobic conditions. The Gdansk (Poland) wastewater treatment plant (WWTP), which has a modified University of Cape Town (MUCT) process for nutrient removal, provided field data and mixed liquor for batch tests for model evaluation. The original ASM2d was first calibrated under dynamic conditions with the results of batch tests with settled wastewater and mixed liquor, in which nitrate-uptake rates, phosphorus-release rates, and anoxic phosphorus uptake rates were followed. Model validation was conducted with data from a 96-hour measurement campaign in the full-scale WWTP. The results of similar batch tests with ethanol and fusel oil as the external carbon sources were used to adjust kinetic and stoichiometric coefficients in the expanded ASM2d. Both models were compared based on their predictions of the effect of adding supplemental carbon to the anoxic zone of an MUCT process. In comparison with the ASM2d, the new model better predicted the anoxic behaviors of carbonaceous oxygen demand, nitrate-nitrogen (NOi-N), and phosphorous (PO4-P) in batch experiments with ethanol and fusel oil. However, when simulating ethanol addition to the anoxic zone of a full-scale biological nutrient removal facility, both models predicted similar effluent NO3-N concentrations (6.6 to 6.9 g N/m^). For the particular application, effective enhanced biological phosphorus removal was predicted by both models with external carbon addition but, for the new model, the effluent PO4-P concentration was approximately onehalf of that found from ASM2d. On a PO4-P removal percentage basis, the difference was small, that is, 94.1 vs 97.1%, respectively, for the ASM2d and expanded ASM2d. Water Environ. Res., 84, 646 (2012).

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“…This calibration only concerns the Table 5) : maximum specific growth rate of heterotrophs (l H ), decay coefficient of heterotrophs (b H ), heterotrophic yield (Y H ) and half-saturation coefficient for substrate for nitrate reduction (K S2 ). The values of the maximum specific growth rate (l H ) and the decay coefficient (b H ) of heterotrophs have been reduced to 2 and 0.2/day, because methanol users typically have lower growth and decay rates than other heterotrophs [25]. The heterotrophic yield (Y H ) has also been reduced to 0.5 mgCOD/mgCOD because methylotrophs are also known to have a lower yield.…”

Section: Resultsmentioning

confidence: 99%

Modeling nitrogen removal for a denitrification biofilter

Samie

Bernier

Rocher³

et al. 2011

Bioprocess Biosyst Eng

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Nitrous oxide (N2O) is a major greenhouse gas, heavily contributing to global warming. N2O is emitted from various sources such as wastewater treatment plants, during the nitrification and denitrification steps. ASM models, which are commonly used in wastewater treatment, usually consider denitrification as a one-step process (NO3- directly reduced to N2) and are as such unable to provide values for intermediate products of the reaction like N2O. In this study, a slightly modified ASM1 model was implemented in the GPS-X software to simulate the concentration of such intermediate products (NO2-, NO and N2O) and to estimate the amounts of gaseous N2O emitted by the denitrification stage (12 biofilters) of the Seine-Centre WWTP (SIAAP, Paris). Simulations running on a 1-year period have shown good agreements with measured effluent data for nitrate and nitrite. The calculated mean value for emitted N2O is 4.95 kgN-N2O/day, which stands in the typical range of estimated experimental values of 4-31 kgN-N2O/day. Nitrous oxide emissions are usually not measured on WWTPs and so, as obtained results show, there is a certain potential for using models that quantify those emissions using traditionally measured influent data.

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Design of Denitrification Systems Using Methanol

Cited by 5 publications

References 3 publications

Computer Simulation in Predicting Biochemical Processes and Energy Balance at WWTPs

Computer Simulation in Predicting Biochemical Processes and Energy Balance at WWTPs

Modeling External Carbon Addition in Biological Nutrient Removal Processes with an Extension of the International Water Association Activated Sludge Model

Modeling nitrogen removal for a denitrification biofilter

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