Design and operational model for complete mixing activated sludge system

The complete mixing activated sludge (CMAS) system is gaining in popularity for treating both domestic and industrial wastewaters. Experience over the past 20 years has produced a simple mathematical model which can be used in both the design and the operational evaluation of CMAS systems. Laboratory pilot plants and full scale field units have furnished the basic data needed to confirm the validity of the mathematical model. The basic concepts of the model are discussed in light of field evaluations. Areas of conflict and confusion which have arisen in the past will be presented and discussed. Design examples and operational evaluations are presented for several different wastewater systems.     

Steady-state model for activated sludge with constant recycle sludge concentration

In a previous report it was concluded that steady-state operation of completely mixed reactors for growth of heterogeneous microbial populations, i.e., activated sludge processes, was extremely difficult to attain if maintenance of a constant sludge recycle ratio, c, was required, and equations were devised in which the concentration of cells in the recycle, x_R, rather than the recycle ratio, was constant. In this report the equations are developed and computational analysis shows the effect on substrate and cell concentrations in the reactor of operational variables such as inflowing feed concentration, hydraulic recycle ratio, recycle sludge concentration, dilution rate, and the biological “constants” μ_m, k_s, and Y. The stabilizing effect of operating with constant x_R on the dilute-out pattern is shown.     

Simulating a cyclic activated sludge system by employing a modified ASM3 model for wastewater treatment

To interpret the biological nutrient removal in a cyclic activated sludge system (CAS), a modified model was developed by combining the process of simultaneous storage and growth, and the kinetics of soluble microbial product (S _SMP) and extracellular polymeric substance (X _EPS) with activated sludge model no. 3 (ASM3). These most sensitive parameters were initially selected whilst parameters with low sensitivity were given values from literature. The selected parameters were then calibrated on an oxygen uptake rate test and a batch CAS reactor on an operational cycle. The calibrated model was validated using a combination of the measurements from a batch CAS reactor operated for 1 month and the average deviation method. The simulations demonstrated that the modified model was capable of predicting higher effluent concentrations compared to outputs of the ASM3 model. Additionally, it was also shown that the average deviation of effluent S _COD, S _NH, S _SMP and X _EPS simulated with the modified model was all less than 1 mg L⁻¹. In summary, the model could effectively describe biological processes in a CAS reactor and provide a wonderful tool for operation.

     

Dynamic behavior of a complete-mixing activated sludge system

The dynamic behavior of a laboratory-scale activated sludge biological waste treatment process with recycle and wasting of sludge was investigated by subjecting the system to step changes in the influent waste concentration, the recycle flow rate, or the sludge wasting rate. The dynamic behavior of the system was examined by measuring adenosine triphosphate (ATP) in addition to dissolved chemical oxygen demand (COD) and cell dry weight in the aeration tank. Cell dry weight of the recyle flow and effluent COD were also measured. Analysis of the results and estimation of time constants assuming first order responses showed that the time constants characterizing the dynamic responses of the sludge were directly related to the sludge mean residence time. The time constants estimated from dissolved COD measurements were of the same order of magnitude as the fluid residence time in the aeration tank. The ATP transient response was frequently different from that of the cell dry weight in the aeration tank.     

In situ detection of protein-hydrolysing microorganisms in activated sludge

Protein hydrolysis plays an important role in the transformation of organic matter in activated sludge wastewater treatment plants, but no information is currently available regarding the identity and ecophysiology of protein-hydrolysing organisms (PHOs). In this study, fluorescence in situ enzyme staining with casein and bovine serum albumin conjugated with BODIPY dye was applied and optimized to label PHOs in activated sludge plants. A strong fluorescent labeling of the surface of microorganisms expressing protease activity was achieved. Metabolic inhibitors were applied to inhibit the metabolic activity to prevent uptake of the fluorescent hydrolysates by oligopeptide-consuming bacteria. In five full-scale, nutrient-removing activated sludge plants examined, the dominant PHOs were always different morphotypes of filamentous bacteria and the epiflora attached to many of these. The PHOs were identified by FISH using a range of available oligonucleotide probes. The filamentous PHOs belonged to the candidate phylum TM7, the phylum Chloroflexi and the class Betaproteobacteria. In total they comprised 1-5% of the bacterial biovolume. Most of the epiflora-PHOs hybridized with probe SAP-309 targeting Saprospiraceae in the phylum Bacteroidetes and accounted for 8-12% of the total bacterial biovolume in most plants and were thus an important and dominant part of the microbial communities.     

In situ detection of starch-hydrolyzing microorganisms in activated sludge

Polysaccharides constitute a significant part of the organic matter in domestic wastewater and their hydrolysis plays an important role in their transformation and nutrient removal in activated sludge wastewater treatment plants. However, there is no information available about the identity, ecophysiology, and abundance of starch-hydrolyzing organisms (SHOs) in these plants. In this study, fluorescence in situ enzyme staining with BODIPY fluorescein-labeled starch was applied and optimized to label SHOs expressing alpha-amylase in activated sludge plants. Fluorescence on the surface of bacteria expressing alpha-amylase activity was clearly visualized. In 11 full-scale nutrient-removing wastewater treatment plants examined, the morphotypes of the dominant SHOs were always cocci in clusters of tetrads, short rods in clusters, and some filamentous organisms. The SHOs were identified by combining in situ enzyme staining and FISH using a range of available oligonucleotide probes. All the SHOs observed were Actinobacteria, and most had the phenotype of polyphosphate-accumulating organisms closely related to the genus Tetrasphaera in the family Intrasporangiaceae. The SHOs were present in most of the wastewater treatment plants examined and comprised, in total, up to 11% of bacterial biovolume and thus formed an important part of the microbial communities.     

A non-structured pseudo-homogeneous model for the activated sludge process

The conventional activated sludge process has been in use for many years for treating wastewater. In this paper a non-structured pseudo-homogeneous model was developed to describe the process. Volume changes as well as the external resistance between the forming flocs and substrate were considered in the model. The kinetic model together with the values of parameters were obtained from the literature. A retention time of 12 hr was found to give over 95% removal of the substrate from the wastewater. Floc diameter, retention time, fraction of biomass recycled, substrate and biomass feed concentration were found to be important factors in the overall efficiency of the treatment process.     

A general kinetic model for biological nutrient removal activated sludge systems: model development

In this article, a kinetic model is developed and presented for biological nutrient removal (BNR) activated sludge (BNRAS) systems in general, but for external nitrification (EN) BNRAS (ENBNRAS) systems in particular. The model is based on the UCTPHO model, but includes some significant modifications, such as anoxic P uptake and associated denitrification by phosphorus accumulating organisms (PAOs). Some key features of the model are described and discussed before the model is presented. Model evaluation will be addressed in another article (Hu et al., 2007).     

A general kinetic model for biological nutrient removal activated sludge systems: model evaluation

Hu et al. (2007) presented a general kinetic model for biological nutrient removal (BNR) activated sludge (AS) systems in general, but for external nitrification (EN) BNRAS (ENBNRAS) systems in particular. In this article, this model is evaluated against a large number of experimental data sets. In this evaluation, the model is first used to simulate a wide variety of conventional internal nitrification (IN) BNRAS systems to evaluate its predictions and also evaluate the model parameters suggested by Hu et al. (2007), and to calibrate those constants for which values are not available in the literature. Simulation results indicate that the model, with appropriately calibrated parameters, is capable of predicting COD removal, nitrification and denitrification and two types of biological excess phosphorus removal (BEPR), namely aerobic and anoxic/aerobic P uptake BEPR. The model is then used to simulate the ENBNRAS systems to evaluate its capacity of simulating the behaviour of this system. Simulation results show that the model is capable of simulating the behaviour of the ENBNRAS systems, including COD, nitrification, denitrification and BEPR, particularly anoxic P uptake BEPR, with the values of kinetic and stoichiometric parameters obtained in modelling conventional BNRAS systems, except for micro(NIT), K(MP), eta(PAO) and eta(H) which required calibration.     

Calibration of a complex activated sludge model for the full-scale wastewater treatment plant

In this study, the results of the calibration of the complex activated sludge model implemented in BioWin software for the full-scale wastewater treatment plant are presented. Within the calibration of the model, sensitivity analysis of its parameters and the fractions of carbonaceous substrate were performed. In the steady-state and dynamic calibrations, a successful agreement between the measured and simulated values of the output variables was achieved. Sensitivity analysis revealed that upon the calculations of normalized sensitivity coefficient (S _i,j ) 17 (steady-state) or 19 (dynamic conditions) kinetic and stoichiometric parameters are sensitive. Most of them are associated with growth and decay of ordinary heterotrophic organisms and phosphorus accumulating organisms. The rankings of ten most sensitive parameters established on the basis of the calculations of the mean square sensitivity measure (δ _j ^msqr) indicate that irrespective of the fact, whether the steady-state or dynamic calibration was performed, there is an agreement in the sensitivity of parameters.     

Xenobiotic substrate reduces yield of activated sludge in a continuous flow system

The biomass yield of a continuous flow activated sludge system varied when the system treated influent containing different compositions of biogenic and xenobiotic substrates. Both the biogenic substrate and a test xenobiotic 2,4-dichlorophenoxyacetic acid (2,4-D) were degraded at steady-state activated sludge operations. The true yields, determined from steady-state activated sludge treatment performances, were at the maximum and the minimum when the activated sludge treated the influent of sole biogenic substrate and sole 2,4-D, respectively. The minimum yield was 56% of the maximum. Yield reduction between the maximum and the minimum was proportional to the concentration of 2,4-D in the influent. This trend of yield reduction suited a model that describes the metabolic uncoupling effect of 2,4-D on the sludge's degradation of the substrates. The model function variable was defined as the ratio of 2,4-D to biogenic COD concentrations in the influent.     

Experimental studies on a kinetic model for design and operation of activated sludge processes

Previous experimentation in our laboratory has shown that the classical theory developed for continuous growth of pure cultures in completely mixed aerobic systems in which the recycle cell concentration factor, c (where c = X_R/X), is a selectable system constant, did not provide a suitable model for the heterogeneous (natural) populations of the activated sludge process. Another model was derived in which the recycle cell concentration, X_R was employed as a system constant instead of c, and computational analysis was performed. Laboratory pilot plant experimentation was undertaken in order to determine whether a “steady state” in aerator biological solids concentration, X?, and substrate concentration, S?, could be approached under this mode of operation. Studies were performed at various organic feed concentrations holding dilution rate, D, at 0.125 hr^?1, hydraulic recycle ratio, α, at 0.25, and X^R at 10,000 mg/liter. Also, values of maximum specific growth rate, μ_max, and saturation constant, K_s were determined. It was found that the model approached the steady state condition with heterogeneous populations more closely than did the classical model, and the high degree of treatment efficiency predicted by the model was demonstrated experimentally.     

Food-borne virus:detection in a model system

The purpose of this study was to develop methods for detection and quantitation of food-borne virus. Samples (25 g) of cottage cheese, contaminated with various quantities of coxsackievirus type A9, comprised the model system. Two of the methods presented have at least a 50% probability of detecting virus at levels below 5 plaque-forming units/25-g sample. Noteworthy aspects of these methods include use of a glycine-NaOH buffer (pH 8.8) containing approximately 1 m MgCl(2) as the diluent in which the sample is slurried, treatment of the slurry with Freon TF and bentonite to facilitate centrifuge clarification, and concentration of the clarified sample extract by a two-stage process employing polyethylene glycol followed by ultracentrifugation. Virus in the final 0.5-ml sample concentrate was detected and quantitated by the plaque technique in rhesus monkey kidney cell cultures. Processing of the sample requires approximately 2 days, and the inoculated cultures may have to be observed for as long as 7 days thereafter. If these levels of sensitivity are desired, and if 12 samples per day are tested on a routine basis, the cost savings achieved by employing these methods rather than testing sample extracts without concentration may range from 75 to 90%.     

Metabolic model for glycogen-accumulating organisms in anaerobic/aerobic activated sludge systems

Glycogen-accumulating organisms (GAO) have the potential to directly compete with polyphosphate-accumulating organisms (PAO) in EBPR systems as both are able to take up VFA anaerobically and grow on the intracellular storage products aerobically. Under anaerobic conditions GAO hydrolyse glycogen to gain energy and reducing equivalents to take up VFA and to synthesise polyhydroxyalkanoate (PHA). In the subsequent aerobic stage, PHA is being oxidised to gain energy for glycogen replenishment (from PHA) and for cell growth. This article describes a complete anaerobic and aerobic model for GAO based on the understanding of their metabolic pathways. The anaerobic model has been developed and reported previously, while the aerobic metabolic model was developed in this study. It is based on the assumption that acetyl-CoA and propionyl-CoA go through the catabolic and anabolic processes independently. Experimental validation shows that the integrated model can predict the anaerobic and aerobic results very well. It was found in this study that at pH 7 the maximum acetate uptake rate of GAO was slower than that reported for PAO in the anaerobic stage. On the other hand, the net biomass production per C-mol acetate added is about 9% higher for GAO than for PAO. This would indicate that PAO and GAO each have certain competitive advantages during different parts of the anaerobic/aerobic process cycle.     

Enhanced nutrient removal of immobilized activated sludge system

Summary Immobilized activated sludge system with porous polyurethane foam pads was operated in time-sequenced anoxic/oxic batch mode for the enhanced nutrient removal. Biomass hold-up in polyurethane foam pads in immobilized sytem increased with incoming organic substrate concentration. This new trouble-free system showed improved capability in nitrogen and phosphorus removal than conventional activated sludge system.     

Fully coupled activated sludge model (FCASM): Model development

A sub-microscopic mechanism model named Fully Coupled Activated Sludge Model (FCASM) about biological nutrient removal in the wastewater treatment process was developed in the present study. The functional organisms existing simultaneously in the activated sludge system were separated into eight groups, including aerobic heterotrophic organisms, nitrite reducing organisms, nitrate reducing organisms, ammonium oxidizing autotrophs, nitrite oxidizing autotrophs, non-denitrifying phosphorus-accumulating organisms (PAOs), denitrifying phosphorus-accumulating bacteria (DPB), and glycogen-accumulating organisms (GAOs). In FCASM, the interaction relationships of the eight functional microorganisms were taken fully into account. FCASM could model biological nitrogen removal via nitrite by splitting nitrification process and denitrification process into two-step reactions, and the autotrophs and denitrifying organisms were divided into two groups, respectively. What’s important, FCASM included the anaerobic maintenance processes of sequential utilization of polyphosphate followed by glycogen for PAOs and DPB and glycolysis of the intracellular stored glycogen for GAOs.