A Simplified Mathematical Model to Determine the Degradation Coefficient and Order of Decay for Activated Sludge Process (original) (raw)

Multicomponent activated sludge model for reactors in series with recycling

International Journal of Environment and Pollution, 2005

Multicomponent models containing both substrate and biomass have an advantage over conventional models in seeking better understanding of activated sludge systems. Such models are also useful in the characterization of wastewater. Studies in recent years have shown that most of the soluble organic matter in the effluent of treatment systems consists of soluble microbial products that arise during biological treatment. In order to support experimental studies, mathematical models have also been developed to explain microbial product formation. In connection with the approaches in the literature, a mathematical model for estimating chemical oxygen demand in effluent in dispersed media has been developed in this study. The death-regeneration approach-an approach of multicomponent activated sludge models containing the formation of soluble inert organic matter with together carbon oxidationwas used. Because the differential equations developed for dispersed media have no analytical solutions, the system was represented with the in-series reactor approach, with the death-regeneration and hydrolysis concepts advised in the IAWPRC Task Group Model.

Critical review of activated sludge modelling: State of process knowledge, modelling concepts and limitations

Biotechnology and Bioengineering

This work critically reviews modelling concepts for standard activated sludge wastewater treatment processes (e.g. hydrolysis, growth and decay of organisms, etc.) for some of the most commonly used models. Based on a short overview on the theoretical biochemistry knowledge this review should help model users to better understand i) the model concepts used; ii) the differences between models and iii) the limits of the models. The seven analysed models are: (1) ASM1; (2) ASM2d; (3) ASM3; (4) ASM3+BioP; (5) ASM2d+TUD; (6) Barker&Dold model; (7) UCTPHO+. Nine standard processes are distinguished and discussed in the present work: hydrolysis; fermentation; ordinary heterotrophic organisms (OHO) growth; autotrophic nitrifying organisms (ANO) growth; OHO & ANO decay; poly-hydroxyalkanoates (PHA) storage; polyphosphate (polyP) storage; phosphorus accumulating organisms PAO) growth and PAO decay. For a structured comparison, a new schematic representation of these processes is proposed. Eac...

Analysis of a model for the treatment of wastewater by the activated sludge process

ANZIAM Journal, 2006

We investigate a model for the treatment of wastewater in the activated sludge process. This process is based on the aeration of waste water with flocculating biological growth, followed by the separation of treated waste water from biological growth. Part of this growth is then wasted, and the remainder is returned to the system. The wastewater reactor is assumed to be well mixed, so the mathematical formulation for this process can be represented by a continuously stirred tank reactor with recycle. This system is analysed by combining steadystate analysis with path-following techniques. In practice, wastewater is treated by a sequence of tanks arranged in series. By considering

A Simplified Dynamic Model for the Activated Sludge Process with High Strength Wastewaters

Environmental Modeling & Assessment, 2008

A simplified dynamic model for the activated sludge process with high-strength wastewaters is presented. The model is based on activated sludge models and predicts effluent chemical oxygen demand concentration using only four parameters. Experimental data for testing the model were obtained in an activated sludge plant using flax retting wastewater. The proposal of the model is described: mass balance to the system, selection of variables and behaviour of the theoretical values versus experimental results.

SIMULATION OF OXYGEN SUPPLY IN ACTIVATED SLUDGE SYSTEMS AS A FULFILLMENT OF THE PARTIAL REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN CIVIL ENGINEERING

Activated sludge process (ASP), which is a suspended growth system, is used on a large scale for biological treatment of wastewater. ASP requires air supply. The aeration facilities are designed to meet the oxygen demand of the process while maintaining in the aeration tank minimum desirable dissolved oxygen (DO) concentration. The presence of DO in wastewater is desirable because it prevents the formation of bad odors and toxic gases. The last two form under anaerobic conditions in which anaerobic microorganisms produce hydrogen sulfide and methane. The operation of aeration facilities is continuous which increases the operational cost of the treatment plants. However, the intermittent aeration ASP is now widely attractive both for reducing power requirements of aeration facilities and for upgrading existing biological treatment plants for nitrogen removal. In Iraq, nearly, all sewage treatment plants imply ASP with continuous aeration scheme. But, due to the present state of electrical power supply in Iraq, the stop of aeration process due to power shut down cannot be avoided, i.e., mostly all sewage treatment plants in Iraq are under the condition of forced intermittent aeration system. In designing an ASP, the volume of aeration tank is calculated using a set of design criteria. The designer based on his engineering judgment usually, specifies the tank dimensions. So there is a need of knowing how tank dimensions are specified. Also, in deciding the power required for a mechanical aeration system, a value is randomly chosen based on accepted range for power per unit volume values. The requirements highlighted in the above paragraph can be accomplished using a mathematical model. The Activated Sludge Model No. 1 (ASM1) is usually considered as the reference model, which was primarily developed for municipal ASPs to describe the removal of organic carbon substances and nitrogen. However, with respect to DO dynamics, the model does not include all factors affecting the rate of DO supply. In this study, A model was developed for simulating the DO supply in ASP. The model is a modified version of ASM1 that incorporates all the factors affecting the rate of oxygen supply, such as type of aeration system, tank geometry, and the physical characteristics of treated sewage including the total dissolved solids (TDS) and temperature. The developed model, which is labeled as ASP-DO include nine state variables and eight reaction processes. It solves nine simultaneous nonlinear ordinary differential equation using the 4th order Rung Kutta method. ASP-DO program was written in Maple13 language. It was used as a tool for; studying how aeration tank dimensions affect the concentrations of dissolved oxygen and other interesting components of sewage, determining the power input per aeration basin volume for an ASP equipped with mechanical aeration system, investigating the effects of aeration cut in Hamdan Sewage Treatment Plant (HSTP) on dissolved oxygen level in ASP and the performance of ASP, and determining the best intermittent aeration condition, that will maintain the desirable minimum level of dissolved oxygen in the aeration tanks. The most important conclusions of this study are; as water depth in the aeration tank of ASP increases, the concentration of DO increases, as L/W ratio of the aeration tank increases, the DO concentration increases, ASP-DO model can be used for determining the power input per unit volume of aeration tanks equipped with surface aeration system and it is not recommended to chose a random value based on known values range given in scientific resources, ASPDO model can be, successfully, used to track the variations in DO concentration under different design and operation conditions, the current state of electrical power supply in Basrah may lower the percent of soluble substrate removal to about 47% when air on/off is 3hr/3hr, and the intermittent aeration system can be applied in HSTP with 1.5hr/0.5 hr air on/off.

Examination of the activated sludge model no. 2 with an alternating process

Water Science and Technology, 1995

Three series of data obtained in a pilot-scale alternating-type activated sludge nutrient removal process are examined in light of the recently introduced Activated Sludge Model No.2 (ASM2). The first data series was collected while adding acetate to the inlet to improve phosphate removal. ASM2 can explain why phosphate levels fll'St rise before an improvement occurs based on a slow build-up of internally stored polybydroxyalkanoates (PHA). Tbe second and third dala series represent batch experiments performed in the pilot plant, and sbow the effect of nitrate on phosphate release. ASM2 could describe the second dala series well after including one additional reaction to account for denitrification by phosphate accumulating organisms. The third data series examines the effect of the rate of acelate addition, and shows that this affects the rate of anoxic phosphate release more strongly than it does the denitrification rate. KEYWORDS Activated sludge; anoxic phosphate release and uptake; biological phosphate removal; denitrification; modelling; nutrient removal; wastewater treatment lNTRODUcnON The Activated Sludge Model No. I (ASM I) developed by the IAWQ task group on mathematical modelling (Henze et al. 1987) has been found very successful in describing the behaviour of activated sludge processes for nitrogen and organics removal. Recently, the Activated Sludge Model No.2 (ASM2) has been introduced (Henze et al. 1995), which extends ASM I to incorporate biological phosphate removal. ASM2 is very new, and hence experiences with the model in describing and predicting phosphate uptake and removal behaviour in a real process are limited. In this paper three series of data from a pilot-plant facility are examined, and an attempt is made to explain observed behaviour on the basis of ASM2.

Improving the operation of the full scale wastewater treatment plantwith use of a complex activated sludge model

Environment Protection Engineering

A complex activated sludge model implemented in BioWin software has been implemented to assure its predictability and improve the effectiveness of biological wastewater treatment in the fullscale plant in Poland. The influence of temperature and sludge retention time (SRT) on the quality of the effluent was also studied. The calibration was successfully performed according to the Good Modelling Practice Unified (GMP) protocol. Five parameters at a steady state and ten under dynamic conditions were calibrated. It occurred that in the studied wastewater treatment plant SRT should be kept at the low level sufficient to sustain nitrification.

Quantitative method based on energy and mass balance for estimating substrate transient accumulation in activated sludge during wastewater treatment

Biotechnology and Bioengineering, 1986

To calculate the transient accumulation of soluble organic matter in activated sludge, an equation based on COD and respirometry is described. In this approach the difference between the actual utilized organic matter and the metabolized matter is expressed as substrate transient accumulation. The amount of substrate generated by the lysis of dead microorganisms was taken into account, and the metabolized organic matter was expressed in two main endergonic functions of O2 consumption, that is, assimilation and maintenance. The equation thus derived was simplified to contain parameters such as COD and O2 consumption and tested on experimental results. The results show that the values obtained using this equation compared well to substrate removal in the absence of O2 in short-term batch cultures. * To whom all correspondence should be addressed. NRC #25293. their adsorption on cell surfaces, their absorption into the cell without biochemical change, as well as their storage with biochemical change but without much change in the average oxidation state of the original carbon source such as glucose storage as starch. The transient accumulation assessment is necessary in predicting the substrate removal since it is possibly not recovered by dissimilation and assimilation at a dynamic state. An assessment of the net result of substrate accumulation as a single parameter is desirable for producing a usable environment engineering prediction. Such a prediction may plausibly be repeatable in relation to the nature and strength of the wastewater since accumulation is defined with regard to both repeatable rates of removal and metabolism of substrate. Reports on the substrate accumulation process in active biomass are found in the literature. Hypotheses of storage have been put forward to explain the difference between the observed COD removal rate and the theoretically expected one.14 Some authors have also taken into account the accumulation processes by introducing appropriate parameters in dynamic model^,^.^ while others have evaluated the storage from the variation in carbohydrate content of the cell either alone7.* or relative to the variation of the protein ~ontent.~*~-'* These data have generally been obtained by cultivating mixed microbial populations on highly concentrated sugar wastes to increase storage potentialities. l9 Wastewater is a complex substrate that usually has low sugar concentration. In systems with low feedmicroorganisms (F-M) ratio, the accumulation process

Analysis of the Activated Sludge Process in an MBR under Starvation Conditions

Chemical Engineering & Technology, 2006

An aerobic membrane bioreactor (MBR) at complete biomass retention was studied over a period of time under starvation conditions. Kinetic parameters were determined in a no-feed batch test. The decay rate of activated sludge, k d = 0.05 d -1 , was determined by tracking the decrease of MLSS. The ratio of MLVSS/MLSS was in the range 0.76-0.85. The pH values were between 7.02 and 8.23. As a function of different initial concentrations of MLSS, specific nitrification rates q N, decreased from 4.23 to 0.02 mg-N/(g MLVSS d) and specific biodegradation rates q b increased from 0.23 to 1.90 mg-COD/(g MLVSS d).