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1.
The study aimed to explore the conversion processes of hydrolysable substrates by activated sludge. Experimental data were collected from a sequencing batch reactor (SBR) and from batch tests using activated sludge acclimated to native potato starch (NPS). Parallel batch tests were run with NPS (particulate), soluble starch (SolS), maltose, and glucose for comparative evaluation. The fate of organic carbon in the reactor was followed directly by measuring substrate, poly-glucose, and oxygen uptake rate. Results indicated that adsorption was the dominant mechanism for starch removal with subsequent enzymatic hydrolysis inside the flocs. The role of bulk liquid enzyme activity was minimal. Starch was observed to hydrolyze to maltose rather than glucose. The behavior of NPS and SolS was quite similar to maltose in terms of poly-glucose formation and oxygen uptake. Since the simplest hydrolysis product was maltose, the biomass was not acclimated to glucose and thus, glucose exhibited a significantly different removal and storage pattern. The study also showed that differentiation of readily biodegradable and slowly biodegradable COD should better be based on the kinetics of their utilization rather than simple physical characterization. 相似文献
2.
A mathematical model, based on the Activated Sludge Model No.3 (ASM3), is developed to describe the storage and growth activities of denitrifiers in aerobic granules under anoxic conditions. In this model, mass transfer, hydrolysis, simultaneous anoxic storage and growth, anoxic maintenance, and endogenous decay are all taken into account. The model established is implemented in the well-established AQUASIM simulation software. A combination of completely mixed reactor and biofilm reactor compartments provided by AQUASIM is used to simulate the mass transport and conversion processes occurring in both bulk liquid and granules. The modeling results explicitly show that the external substrate is immediately utilized for storage and growth at feast phase. More external substrates are diverted to storage process than the primary biomass production process. The model simulation indicates that the nitrate utilization rate (NUR) of granules-based denitrification process includes four linear phases of nitrate reduction. Furthermore, the methodology for determining the most important parameter in this model, that is, anoxic reduction factor, is established. 相似文献
3.
Aerobic granules in a sequencing batch reactor (SBR) are subjected to alternative feast and famine conditions, and are able to take up carbon substrate in wastewater rapidly and to store it as intracellular storage products when the substrate is in excess. This phenomenon could not be described by the widely used activated sludge model No.3 (ASM3). In this work, taking adsorption process, microbial maintenance, and substrate diffusion into account, the simultaneous growth and storage processes occurring in an aerobic-granule-based SBR are investigated with experimental and modeling approaches. A new model is established and successfully validated with the experimental results of an SBR fed with soybean-processing wastewater. Simulation results show that our approach is appropriate for elucidating the fates of major model components. Comparison between ASM3 and the model established in this work demonstrates that the latter is better to describe the substrate removal mechanisms and simultaneous growth and storage processes in aerobic granules. 相似文献
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An efficient approach is introduced to help automate the rather tedious manual trial and error way of model calibration currently used in activated sludge modeling practice. To this end, we have evaluated a Monte Carlo based calibration approach consisting of four steps: (i) parameter subset selection, (ii) defining parameter space, (iii) parameter sampling for Monte Carlo simulations and (iv) selecting the best Monte Carlo simulation thereby providing the calibrated parameter values. The approach was evaluated on a formerly calibrated full-scale ASM2d model for a domestic plant (located in The Netherlands), using in total 3 months of dynamic oxygen, ammonia and nitrate sensor data. The Monte Carlo calibrated model was validated successfully using ammonia, oxygen and nitrate data collected at high measurement frequency. Statistical analysis of the residuals using mean absolute error (MAE), root mean square error (RMSE) and Janus coefficient showed that the calibrated model was able to provide statistically accurate and valid predictions for ammonium, oxygen and nitrate. This shows that this pragmatic approach can perform the task of model calibration and therefore be used in practice to save the valuable time of modelers spent on this step of activated sludge modeling. The high computational demand is a downside of this approach but this can be overcome by using distributed computing. Overall we expect that the use of such systems analysis tools in the application of activated sludge models will improve the quality of model predictions and their use in decision making. 相似文献
6.
采用污泥驯化手段富集好氧反硝化细菌,将得到的驯化污泥分离纯化,共得到105株菌。用测TN的方法对所筛菌株进行初筛,得到25株对TN去除率达到50％以上的菌株。用氮元素轨迹跟踪测定法复筛,证实这25株菌都可以在好氧条件下进行硝酸盐呼吸,其中24株菌的反硝化过程为：NO3^-N→NO2^-N→N2,研究中还发现在反硝化过程中硝酸盐和亚硝酸盐不存在明显竞争被利用的作用。同时还提出了可能实现短程同步硝化反硝化以及在反馈作用的调节下,加快硝化反应速度的观点。 相似文献
7.
In hydrolysis-limited anerobic systems, the key parameters describing degradation are degradability extent (f(d)), and the lumped apparent first order coefficient (k(hyd)). These are often measured in biological methane potential (BMP) tests. Using modern techniques, it should also be possible to estimate these parameters in full-scale systems, especially where inputs are dynamic. In this study, we evaluated f(d) and k(hyd) values and uncertainty based on nonlinear parameter estimation from (i) BMP tests and (ii) effluent gas and solids from two full-scale digesters fed with highly variable feed flows and concentrations (up to 6 kg COD m(-3) day(-1)). The substrate was thermally hydrolyzed activated sludge, and the inoculum for BMP tests was from the full-scale digesters. While identifiability of both parameters in the BMP tests was generally good, only f(d) could be well identified using continuous data. For k(hyd) using continuous data, normally only a lower limit could be found (upper was unbounded). In addition, parameters as estimated on different outputs (VS and gasflow) and two different digesters were consistent, with an f(d) value of 0.45-0.55, and a k(hyd) value of >5 day(-1). Gradual changes in f(d) over the 450 days could be related to upstream changes. f(d) values as estimated in BMP tests were consistent (if conservative) with continuous estimates, with a f(d) in BMP of 0.4-0.5. k(hyd) values were an order of magnitude lower (0.15-0.25 day(-1) vs. >5 day(-1)), and this translated to very poor model performance when BMP-estimated values were used in the continuous model. This means that while BMP testing may be used for project feasibility analysis, values obtained should not be used for dynamic modeling. The parameter confidence regions found were highly nonlinear, especially for continuous systems, indicating that iterative or sampling techniques are required for an estimate of real parameter uncertainty. 相似文献
8.
Haruhiko Yokoi Shiro Wakasone Hideyuki Nakashima Susumu Nakashima Jun Hirose Yoshiyuki Takasaki 《Biotechnology Techniques》1999,13(4):263-266
Humus at 0.5 to 1 mg l–1 inhibited growth of activated sludge by about 55% in batch and long-term repeated batch cultures without decreasing sugar utilization. The growth inhibition was considerable when concentrations of substrates in the medium supplied per unit weight of activated sludge were low. 相似文献
9.
Maria J. Martin Adriana Artola M Dolors Balaguer Miquel Rigola 《Biotechnology letters》2002,24(3):163-168
Surplus biological sludge from wastewater treatment operations was converted into activated carbon and then added to the aerated vessel of an activated sludge process treating phenol and glucose. The addition of activated carbon, either sludge-based or commercial, enhanced phenol removal from 58 to 98.7% and from 87 to 93% for COD with feed concentrations of 100 mg phenol l–1 and 2500 mg COD l–1. No differences were found between the activated sludge-activated carbon bench scale continuous reactors operating with either commercial or sludge-based activated carbon in spite of the higher adsorption capacity of the former. 相似文献
10.
Dairy wastewater containing different oil and grease contents was treated in batch activated sludge systems with and without (control) an enzymatic pre-hydrolysis stage [with 0.2% (w/v) of fermented babassu cake containing Penicillium restrictum lipases]. When the oil and grease concentration in the control bioreactor was increased (400, 600 and 800 mg l–1), the COD removal efficiency fell (86%, 75% and 0%). However, in the reactor fed with pre-hydrolysed wastewater, COD removal efficiency was maintained (93%, 92% and 82%). At an oil and grease concentration of 800 mg l–1, the control bioreactor presented final volatile suspended solids (VSS) values ten times greater (2225 mg l–1) than those obtained for bioreactor fed with pre-hydrolysed wastewater (200 mg l–1). 相似文献
11.
Maïté Huron Damien Hudebine Nicolas Lopes Ferreira Dominique Lachenal 《Biotechnology and bioengineering》2016,113(5):1011-1023
12.
Dionisi D Majone M Miccheli A Puccetti C Sinisi C 《Biotechnology and bioengineering》2004,86(7):842-851
Glutamic acid removal in the activated sludge process is studied herein, primarily the formation of storage polymers under dynamic conditions. The activated sludge process was operated by using a sequencing batch reactor (sludge age of 6 d) fed with a synthetic mixture of readily available carbon sources, including glutamic acid. Removal of glutamic acid as the only carbon sources was studied in batch tests, along with oxygen consumption, ammonia uptake-release, and formation of storage polymers. It was found that poly-3-hydroxybutyrate (PHB) was stored and that the storage also occurred simultaneously to biomass growth. PHB storage accounted for 16% of the overall solids that were formed from glutamic acid, as the average value of nine batch tests. Neither other Polyhydroxyalkanoates nor polyglutamic acid were detected. Nuclear magnetic resonance analysis, performed on biomass extracts, allowed us to clarify the main metabolic pathways involved in glutamic acid removal and, in particular, the pathways involved in PHB storage. It was found that glutamic acid enters the Krebs cycle as alpha-ketoglutaric acid and exits to form pyruvic acid and then acetyl-CoA, which is the starting point of PHB production pathway. 相似文献
13.
A new strain of Bacillus sp. I-3, isolated from natural soil samples, showed a high raw starch digesting activity towards potato starch. Upon optimization of various environmental and cultural conditions, the yield of α-amylase reached 642 U/mL. The kinetic characterization of partially purified enzyme exhibited the maximum activity at 70 °C, pH 7.0 and revealed a high thermostability in the presence of 10 mM CaCl2·2H2O where it could retain more than 90% residual activity at 70 °C after 3.5 h. At 80, 90 and 100 °C, the enzyme retained 80, 59 and 26% of its maximum activity after 2.5, 0.5 and 0.5 h, respectively. The enzyme preparation had a strong affinity towards raw potato starch granules and was almost completely adsorbed onto it. It also hydrolyzed raw potato starch at a concentration of 12.5% significantly in a short period of time of 12 h. 相似文献
14.
An elaborate computer program to simulate the process of starch hydrolysis by amylolytic enzymes was been developed. It is based on the Monte Carlo method and iteration kinetic model, which predict productive and non-productive amylase complexes with substrates. It describes both multienzymatic and multisubstrate reactions simulating the \"real\" concentrations of all components versus the time of the depolymerization reaction the number of substrates, intermediate products, and final products are limited only by computer memory. In this work, it is assumed that the \"proper\" substrate for amylases is the glucoside linkages in starch molecules. Dynamic changes of substrate during the simulation adequately influence the increase or decrease of reaction velocity, as well as the kinetics of depolymerization. The presented kinetic model, can be adapted to describe most enzymatic degradations of a polymer. This computer program has been tested on experimental data obtained for alpha- and beta-amylases. 相似文献
15.
The state-of-the-art understanding of activated sludge processes as summarized in activated sludge models (ASMs) predicts an instantaneous increase in the biomass activity (which is measured, e.g., by the corresponding respiration rate OUR, NUR, etc.) under sudden substrate concentration changes. Experimental data (e.g., short-term batch respiration experiments under aerobic or anoxic conditions) collected for the calibration of the dynamic models (ASMs) often exhibit a transient phenomenon while attaining maximum activity, which cannot be explained by the current understanding of the activated sludge process. That transient phenomenon exhibits itself immediately upon addition of a substrate source to an endogenously respiring activated sludge sample and it usually takes a few minutes until the activated sludge reaches its maximum possible rate under given environmental conditions. This discrepancy between the state-of-the-art model and the experimental data is addressed in detail in this investigation. It is shown that the discrepancy is not caused by an error in the experimental set-up/data but it is rather due to model inadequacy. Among the hypotheses proposed, it appears that this transient response of the activated sludge most likely results from the sequence of intracellular reactions involved in substrate degradation by the activated sludge. Results from studies performed elsewhere with pure cultures (S. cerevisae and E. coli) support the hypothesis. The transient phenomenon can be described by a dynamic metabolic network model or by a simple first-order model, as adopted in this study. The transient phenomenon occurring in short-term batch respiration experiments is shown to interfere severely with parameter estimation if not modeled properly (2.8%, 11.5%, and 16.8% relative errors [average of three experiments] on Y(H), micro(maxH), and K(S), respectively). Proper modeling of this transient phenomenon whose time constant is on the order of minutes (1 to 3 min) is expected to contribute fundamentally to a better understanding and modeling of Orbal, carousel, and SBR-type treatment plants with fast-alternating process conditions, although such studies are beyond the scope of this report. 相似文献
16.
Yong Kuen Ho Pankaj Doshi Hak Koon Yeoh Gek Cheng Ngoh 《Biotechnology and bioengineering》2015,112(10):2084-2105
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Corominas L Villez K Aguado D Rieger L Rosén C Vanrolleghem PA 《Biotechnology and bioengineering》2011,108(2):333-344
Several methods to detect faults have been developed in various fields, mainly in chemical and process engineering. However, minimal practical guidelines exist for their selection and application. This work presents an index that allows for evaluating monitoring and diagnosis performance of fault detection methods, which takes into account several characteristics, such as false alarms, false acceptance, and undesirable switching from correct detection to non-detection during a fault event. The usefulness of the index to process engineering is demonstrated first by application to a simple example. Then, it is used to compare five univariate fault detection methods (Shewhart, EWMA, and residuals of EWMA) applied to the simulated results of the Benchmark Simulation Model No. 1 long-term (BSM1_LT). The BSM1_LT, provided by the IWA Task Group on Benchmarking of Control Strategies, is a simulation platform that allows for creating sensor and actuator faults and process disturbances in a wastewater treatment plant. The results from the method comparison using BSM1_LT show better performance to detect a sensor measurement shift for adaptive methods (residuals of EWMA) and when monitoring the actuator signals in a control loop (e.g., airflow). Overall, the proposed index is able to screen fault detection methods. 相似文献
18.
This article first proposes a reduction strategy of the activated sludge process model with alternated aeration. Initiated with the standard activated sludge model (ASM1), the reduction is based on some biochemical considerations followed by linear approximations of nonlinear terms. Two submodels are then obtained, one for the aerobic phase and one for the anoxic phase, using four state variables related to the organic substrate concentration, the ammonium and nitrate‐nitrite nitrogen, and the oxygen concentration. Then, a two‐step robust estimation strategy is used to estimate both the unmeasured state variables and the unknown inflow ammonium nitrogen concentration. Parameter uncertainty is considered in the dynamics and input matrices of the system. © 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2009 相似文献
19.
A stochastic model was developed that was used to describe the formation and breakdown of all saccharides involved during alpha-amylolytic starch hydrolysis in time. This model is based on the subsite maps found in literature for Bacillus amyloliquefaciens alpha-amylase (BAA) and Bacillus licheniformis alpha-amylase (BLA). Carbohydrate substrates were modeled in a relatively simple two-dimensional matrix. The predicted weight fractions of carbohydrates ranging from glucose to heptasaccharides and the predicted dextrose equivalent showed the same trend and order of magnitude as the corresponding experimental values. However, the absolute values were not the same. In case a well-defined substrate such as maltohexaose was used, comparable differences between the experimental and simulated data were observed indicating that the substrate model for starch does not cause these deviations. After changing the subsite map of BLA and the ratio between the time required for a productive and a non-productive attack for BAA, a better agreement between the model data and the experimental data was observed. Although the model input should be improved for more accurate predictions, the model can already be used to gain knowledge about the concentrations of all carbohydrates during hydrolysis with an alpha-amylase. In addition, this model also seems to be applicable to other depolymerase-based systems. 相似文献
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