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Process system engineering in wastewater treatment process

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Abstract

This paper reviews the research and development of process system engineering (PSE) in the wastewater treatment process (WWTP). A diverse range of PSE applications have evolved in the wastewater treatment process, such as modeling, control, estimation, expert system, fault detection and monitoring system. This article describes several types of PSE that have proven to be effective in WWTP. The merits and shortcoming of PSE and its detailed applications are presented. Since its development is the forefront in WWTP, a reasonable review of the research progress in this field is addressed.

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References

  • Alex, I, Beteau, J. E, Copp, J. B., Hellinga, C., Jepsson, U., Marsili-Libelli, S., Pons, M. N, Spanjers, H. and Vanhooren, H., “Benchmark for Evaluating Control Strategies in Wastewater Treatment Plants” European Control Conference 99 (1999).

  • Anderson, J. S., McAvoy, T. J. and Hao, O. I., “Use of Hybrid Models in Wastewater Systems”,Ind. Eng. Chem. Res.,39,1674 (2000).

    Google Scholar 

  • Assis, A. J. and Filho, R. M., “Soft Sensors Development for On-line Bioreactor State Estiamtion”,Comp. & Chem. Eng.,24,1099 (2000).

    Article  Google Scholar 

  • Ayesa, E., Florez, E, Garcia-Heras, J. L. and Larrea, L., “State and Coefficient Estimation for the Activated Sludge Process using a Modified Kalman Filter Algorithm”,Wat. Sci. Tech.,24, 225 (1991).

    Google Scholar 

  • Baeza, J., Gabriel, D. and Lafuente, J., “An Expert Supervisory System for a Pilot WWTP”,Env. Modeling & Software,14, 383 (1999).

    Article  Google Scholar 

  • Bakshi, B. R., “Multiscale PCA with Application to Multivariate Statistical Process Monitoring”,AIChE J.,44,1596 (1998).

    Article  CAS  Google Scholar 

  • Barros, P. R. and Carlsson, B., “Iterative Design of a Nitrate Controller using an External Carbon Source in an Activated Sludge Process”,Wat. Sci. Tech.,37,95 (1998).

    Article  CAS  Google Scholar 

  • Bastin, G. and Dochain, D., “On-Line Estimation and Adaptive Control of Bioreactor”, Elsevier, New York (1990).

    Google Scholar 

  • Boger, Z., “Application of Neural Networks to Water and Wastewater Treatment Plant Operation”,ISA Trans.,31, 25 (1992).

    Article  CAS  Google Scholar 

  • Briggs, R., Jones, K. and Oaten, A. B., “Monitoring and Automatic Control of Dissolved Oxygen Levels in Activated Sludge” Effluent and Water Treatment Convention, Thunderbird Enterprises, London, 11 (1967).

    Google Scholar 

  • Brouwer, H., Klapwijk, A. and Keesman, K. J., “Identification of Activated Sludge and Wastewater Characteristics using Respirometric Batch-Experiments”,Wat. Res.,32,1240 (1998).

    Article  CAS  Google Scholar 

  • Cakici, A. and Bayramoglu, M., “An Approach to Controlling Sludge Age in the Activated Sludge Process”,Wat. Res.,29,1093 (1995).

    Article  CAS  Google Scholar 

  • Can, H., Braake, H. A., Hellinga, C, Luyben, K. and Heijnen, J. J., “An Efficient Model Development Strategy for Bioprocesses Based on Neural Network in Macroscopic Balances”,Bio. & Bio.,54, 549 (1997).

    Google Scholar 

  • Capodaglio, A. G., Jones, H. V., Novotny, V. and Feng, X., “Sludge Bulking Analysis and Forecasting Application of System Identification and Artificial Neural Computing Technology”,Wat. Res.,25, 1217(1991).

    Article  CAS  Google Scholar 

  • Carlsson, B., Lindberg, C. F, Hasselblad, S. and Xu, S., “On-line Estimation of the Respiration Rate and the Oxygen Transfer Rate at Kunsangen Wastewater Plant in Uppsala”,Wat. Sci. Tech.,21,1185 (1994).

    Google Scholar 

  • Chen, G. and McAvoy, T. J., “Predictive On-Line Monitoring of Continuous Process”,Journal of Process Control,8,409 (1998).

    Article  CAS  Google Scholar 

  • Chiang, L. H., Russel, E. L. and Braatz, R D., “Fault Diagnosis in Chemical Processes using Fisher Discriminant Analysis, Discriminant Partial Least Squares, and Principal Component Analysis”,Chem. Intelli. Lab.,50, 243 (2000).

    Article  CAS  Google Scholar 

  • Cho, J. H., “Dynamic Modeling of Advanced Wastewater Treatment Process and Cascade Control of Denitrification Process”, Master Thesis, POSTECH (2001).

  • Choi, S. W., Yoo, C. K. and Lee, I. B., “Generic Monitoring System in the Biological Wastewater Treatment Process”,J. of Chem. Eng. of Japan, in revision (2001).

  • Copp, J. B., “COST Simulation Benchmark Manual”, European Cooperation in the Field of Scientific and Technical Research (2000).

  • COST-624, The European Cooperation in the Field of Scientific and Technical Research, Website:http://www.ensic.u-nancy.fr/COST-WWTP (1997).

  • Cote, M., Granajean, P. A., Lessard, P. and Thibault, J., “Dynamic Modeling of the Activated Sludge Process: Improving Prediction using Neural Networks”,Wat. Res.,29,995 (1995).

    Article  CAS  Google Scholar 

  • Dayal, B. S. and MacGregor, J. F., “Recursive Exponentially Weighted PLS and its Application to Adaptive Control and Prediction”,Journal of Process Control,7,169(1997).

    Article  CAS  Google Scholar 

  • Derdiyok, A. and Levent, M., “Sliding Mode Control of a Bioreactor”,Korean J. Chem. Eng.,17, 619 (2000).

    CAS  Google Scholar 

  • Diaz, C, Dieu, P., Feuillerat, C, Lelong, P. and Salome, M., “Adaptive Predictive Control of Dissolved Oxygen Concentration in a Laboratory-Scale Bioreactor”,J. Biotech.,43, 21 (1995).

    Article  CAS  Google Scholar 

  • Diehl, S. and Jeppsson, U., “A Model of the Settler Coupled to the Biological Reactor”,Wat. Res.,32, 331 (1998).

    Article  CAS  Google Scholar 

  • Dochain, D. and Perrier, M., “Control Design for Nonlinear Wastewater Treatment Processes”,Wat. Sci. Tech.,28, 283 (1993).

    CAS  Google Scholar 

  • Dochain, D., Vanrolleghem, P. and Daele, V. M., “Structural Identifiability of Biokinetic Models of Activated Sludge Respiration”,Wat. Res.,29, 2571 (1998).

    Article  Google Scholar 

  • Dold, P. L., Wentzel, M. C, Billing, A. E., Ekama, G. A. and Marais, G. R., “Activated Sludge System Simulation Programs”,Wat. Res. Commission, Republic of South Africa (1991).

  • Dupont, R. and Henze, M., “Modeling of the Secondary Clarifier Combined with the Activated Sludge Model No. 1”,Wat. Sci. Tech.,25, 285 (1992).

    CAS  Google Scholar 

  • Ekama, G. A. and Marais G. R., “Dynamic Behavior of the Activated Sludge Process”,J. Wat. Pol. Con.,25, 534 (1979).

    Google Scholar 

  • Flanagan, M. I, Bracken, B. D. and Roeler, F. I., “Automatic Dissolved Oxygen Control”,J. Env. Eng.,103, 707 (1977).

    Google Scholar 

  • Geladi, P. and Kowalski, B. R., “Partial Least Squares Regressions: a Tutorial”,Anal. Chim. Acta,185,1 (1986).

    Article  CAS  Google Scholar 

  • Gomes, J. and Menawat, A. S., “Precise Control of Dissolved Oxygen in Bioreactors a Model-Based Geometric Algorithm”,Chem. Eng. Sci.,55, 67 (2000).

    Article  CAS  Google Scholar 

  • Gontarski, C. A., Rodrigues, P. R., Mori, M. and Prenem, L. E., “Simulation of an Industrial Wastewater Treatment Plant using Artificial Neural Network”,Comp. & Chem. Eng.,24,1719 (2000).

    Article  CAS  Google Scholar 

  • Goto, M. and Andrew, J. F., “On-line Estimation of Oxygen Uptake Rate in the Activated Sludge Process”,Instrumentation and Control of Water and Wastewater Treatment and Transport Systems, 465 (1985).

  • Gujer, W., Henze, M., Mino, T., Matsuo, T., Wentzel, M. C. and Marais, G. V. R., “The Activated Sludge Model No. 2: Biological Phosphorus Removal”,Wat. Sci. Tech.,31,1 (1995).

    Article  CAS  Google Scholar 

  • Hack, M. and Kohne, M., “Estimation of Wastewater Process Parameters using Neural Networks”,Wat. Sci. Tech.,33,101 (1996).

    Article  Google Scholar 

  • Hamoda, M. F., Al-Ghusain, I. A. and Hassan, A. H., “Integrated Wastewater Treatment Plant Performance Evaluation using Artificial Neural Networks”,Wat. Sci. Tech.,40,55 (1999).

    Article  Google Scholar 

  • Henze, M., Grady, C. P., Gujer, W., Marais, G. V. R. and Matsuo, T., “A General Model for Single-Sludge Wastewater Treatment Systems”,IAWPRC Scientific and Technical Report No. 1 (1987a).

  • Henze, M., Grady, Jr., Leslie, C. P., Guier, W., Marais, G V. R. and Matsuo, T., “A General Model for Single-Sludge Wastewater Treatment Systems”,Wat. Res.,21,505 (1987b).

    Article  CAS  Google Scholar 

  • Henze, M., “Capabilities of Biological Nitrogen Removal Processes for Wastewater”,Wat. Sci. Tech.,23, 669 (1991).

    CAS  Google Scholar 

  • Henze, M., Gujer, W., Mino, T, Matsuo, T, Wentzel, M. C. and Marais G. V. R., “Activated Sludge Model No. 2”,IAWPRC Scientific and Technical Report (1995).

  • Himmelblau, D. M., “Applications of Artificial Neural Networks in Chemical Engineering”,Korean J. Chem. Eng.,17, 373 (2000).

    CAS  Google Scholar 

  • Holmberg, U., Olsson, G. and Andersson B., “Simultaneous DO Control and Respiration Estimation”,Wat. Sci. Tech.,21,1185 (1989).

    CAS  Google Scholar 

  • Howell, J. A. and Sodipo, B. O., “On-line Respirometry and Estimation of Aeration Efficiencies in the Activated Sludge Aeration Basin from Dissolved Oxygen Measurements”,Modeling and Control of Biotechnological Process (1985).

  • Isaacs, S. H. and Henze, M., “Controlled Carbon Source Addition to an Alternating Nitrification-Denitrification Wastewater Treatment Process Including Biological P Removal”,Wat. Res.,29,77 (1995).

    Article  CAS  Google Scholar 

  • Isaacs, S. H., Henze, M. and Kummel, M., “An Adaptive Algorithm for External Carbon Addition to an Alternating Activated Sludge Process for Nutrient Removal from Waste Water”,Chem. Eng. Sci.,50, 617 (1995a).

    Article  CAS  Google Scholar 

  • Isaacs, S., Hansen, J. A., Schmidt, K. and Henze, M., “Examination of the Activated Sludge Model No. 2 with an Alternating Process”,Wat. Sci. Tech.,31, 55 (1995b). Islam, K. A., Newell, B. and Lant, P., “Advanced Process Control for Biological Nutrient Removal”,Wat. Sci. Tech.,39, 97 (1999).

    Article  CAS  Google Scholar 

  • Jeppsson, U. and Olsson, G., “Reduced Order Models for On-line Parameter Identification of the Activated Sludge Process”,Wat. Sci. Tech.,28,173(1993).

    CAS  Google Scholar 

  • Jeppsson, U., “Modelling Aspects of Wastewater Treatment Processes”, Ph.D. Dissertation, Lund, Sweden (1996).

    Google Scholar 

  • Johnson, R. A. and Wichern, D. W., “Applied Multivariate Statistical Analysis”, Prentice Hall, Englewood Cliffs, New Jersey (1992).

    Google Scholar 

  • Jose, L., Sanchez, G., Robinson, W C. and Budman, H., “Developmental Studies of an Adaptive On-line Softsensor for Biological Wastewater Treatments”,The Can. J. of Chem. Eng.,77,707 (1999).

    Article  CAS  Google Scholar 

  • Kabouris, J. C., “Stochastic Control of the Activated Sludge Process”, Ph.D. thesis, Georgia Institute of Technology (1994).

  • Kabouris, J. C. and Georgakakos, A. P., “Parameter and State Estimation of the Activated Sludge Process-I. Model Development”,Wat. Res.,30, 2853 (1996a).

    Article  CAS  Google Scholar 

  • Kabouris, J. C. and Georgakakos, A. P., “Parameter and State Estimation of the Activated Sludge Process-II. Application”,Wat. Res.,30, 2867 (1996b).

    Article  CAS  Google Scholar 

  • Kabouris, J. C. and Georgakakos, A. P., “Parameter and State Estimation of the Activated Sludge Process-III. On-line Algorithm”,Wat. Res.,30, 3115 (1996c).

    Article  CAS  Google Scholar 

  • Kano, M., Nagao, K., Hasebe, S., Hashimoto, I., Ohno, H., Strauss, R. and Bakshi, B., “Comparison of Statistical Process Monitoring Methods: Application to the Eastman Challenge Problem”,Comp. & Chem. Eng.,24,175 (2000a).

    Article  CAS  Google Scholar 

  • Kano, M., Nagao, K., Ohno, H., Hasebe, S. and Hashimoto, I., “Dissimilarity of Process Data for Statistical Process Monitoring”, International Symposium on Advanced Control of Chemical Process (ADCHEM), Pisa, Italy, 231(2000b).

    Google Scholar 

  • Kappeler, J. and Gujer, W., “Estimation of Kinetic Parameters of Heterotrophic Parameters Under Aerobic Conditions and Characterization of Wastewater for Activated Sludge Modeling”, Proc. 13th IFAC World Congress (1992).

  • Keinath, T. M., Ryckman, M. D., Dana, C. H. and Hofer, D A., “Activated Sludge Unified System Design and Operation”,J. Env. Eng. Div.,103, 829 (1977).

    Google Scholar 

  • Ko, K. Y, McInnis, B. C. and Goodwin, G C., “Adaptive Control and Identification of the Dissolved Oxygen Process”,Automatica,18, 727 (1982).

    Article  Google Scholar 

  • Kong, Z., Vanrolleghem, P., Willems, P. and Verstraete, W., “Simultaneous Determination of Inhibition Kinetics of Carbon Oxidation and Nitrification with a Respirometer”,Wat. Res.,30, 825 (1996).

    Article  CAS  Google Scholar 

  • Kourti, T. and MacGregor, J. E, “Process Analysis, Monitoring and Diagnosis using Multivariate Projection Methods”,Chem. Intelli. Lab.,28, 3 (1995).

    Article  CAS  Google Scholar 

  • Krofta, M., Herath, B., Burgess, D. and Lampman, L., “An Attempt to Understand Dissolved Air Flotation using Multivariate Analysis”,Wat. Sci. Tech.,31,191 (1995).

    Article  Google Scholar 

  • Ku, W. R. Storer, H. and Georgakis, C., “Disturbance Detection and Isolation by Dynamic Principal Component Analysis”,Chem. Intelli. Lab.,30,179 (1995).

    Article  CAS  Google Scholar 

  • Lairea, L., Garcia, J. L., Ayesa, E. and Florez, J., “Designing Experiments to Determine the Coefficients of the Activated Sludge Models by Identification Algorithms”,Wat. Sci. Tech.,25,149 (1992).

    Google Scholar 

  • Lee, B. K., Sung, S. W., Chun, H. D. and Koo, J. K., “Automatic Control for DO and pH in the Activated Sludge Process in a Coke Wastewater Treatment Plant”,Wat. Sci Tech.,37,141 (1998a).

    Article  CAS  Google Scholar 

  • Lee, K. H., Lee, J. H. and Park, T. J., “Simultaneous Organic and Nutrient Removal from Municipal Wastewater by BSACNR Process”,Korean J. Chem. Eng.,15,9 (1998b).

    CAS  Google Scholar 

  • Lee, D. S. and Park, J. M., “Neural Network Modeling for On-line Estimation of Nutrient Dynamics in a Sequentially-operated Batch Reactor”,J. Biotechnology,75,229 (1999).

    Article  CAS  Google Scholar 

  • Lee, D. S., “Neural Network Modeling of Biological Wastewater Treatment Processes”, Ph.D. Dissertation, POSTECH, Korea (2000).

    Google Scholar 

  • Liu, J.,Min, K., Han, C. and Chang, K. S., “Robust Nonlinear PLS Based on Neural Networks and Application to Composition Estimator for High-Purity Distillation Columns”,Korean J. Chem. Eng.,17, 184 (2000).

    Google Scholar 

  • Li, W., Yue, H. H., Valle-Cervantes, S. and Qin, S. J., “Recursive PCA for Adaptive Process Monitoring”,Journal of Process Control,10, 471 (2000).

    Article  CAS  Google Scholar 

  • Lindberg, C. F. and Carlsson, B., “Nonlinear and Set-Point Control of the Dissolved Oxygen Concentration in an Activated Sludge”Wat. Sci. Tech.,34,135 (1996a).

    Article  CAS  Google Scholar 

  • Lindberg, C. F. and Carlsson, B., “Adaptive Control of External Carbon Flow Rate in an Activated Sludge Process”Wat. Sci. Tech.,34, 173 (1996b).

    Article  CAS  Google Scholar 

  • Lindberg, C. F, “Control and Estimation Strategies Applied to the Activated Sludge Process”, Ph.D. thesis, Uppsala Univ., Sweden (1997).

    Google Scholar 

  • Lindberg, C. F, “Multivariable Modeling and Control of an Activated Sludge Process”,Wat. Sci. Tech.,37,149 (1998).

    Article  CAS  Google Scholar 

  • Lukasse, L. J. S., Keesman, K. J., Klapwijk, A. and van Straten, G., “Optimal Control of N-Removal in ASP”, Preprints of IAWQ 19th Biennial International Conference 2, IAWQ, 388, Vancouver (1998).

  • MacGregor, J. F., Jaeckle, C., Kiparissides, C. and Koutoudi, M., “Process Monitoring and Diagnosis by Multiblock Methods”,AIChE J.,40, 826 (1994).

    Article  CAS  Google Scholar 

  • MacGregor, J. F. and Kourti, T., “Statistical Process Control of Multivariate Processes”,Control Eng. Pract.,3,403 (1995).

    Article  Google Scholar 

  • Marsili-Libelli, S., “Adaptive Estimation of Bioactivities in the Activated Sludge Process”,IEE Proceedings,137, 349 (1990).

    Google Scholar 

  • Medsker, L. R., “Microcomputer Applications of Hybrid Intelligent Systems”,J. Network and Computer Applications,19, 213 (1996).

    Article  Google Scholar 

  • Miller, R M., Itoyama, K., Uda, A., Takada, H. and Bhat, N., “Modeling and Control of a Chemical Waste Water Treatment Plant”,Comp. & Chem.,21, S947 (1997).

    CAS  Google Scholar 

  • Mino, T., Liu, W.-T., Kurisu, F. and Matsuo, T., “Modeling Glycogen Storage and Denitrification Capability of Microorganisms in Enhanced Biological Phosphate Removal Processes”,Wat. Sci. Tech.,31,26 (1995).

    Google Scholar 

  • Nejjari, F., Dahhou, B., Benhammou, A. and Roux, G., “Non-Linear Multivariable Adaptive Control of an Activated Sludge Wastewater Treatment Process”,Int. J. Adapt. Con. Sig. Pro.,13,347 (1999).

    Article  Google Scholar 

  • Nomikos, P. and MacGregor, J. F., “Monitoring Batch Processes using Multiway Principal Component Analysis”,AIChE J.,40, 1361 (1994).

    Article  CAS  Google Scholar 

  • Olsson, G. and Chapman, D., “Modeling the Dynamics of Clarifier Behaviour in Activated Sludge System”, Instrumentation and Control of Water and Wastewater Treatment and Transport Systems, 405 (1985).

  • Olsson, G. B., Andersson, B. H. and Hellstrom, L. G., “Measurements, Data Analysis and Control Methods in Wastewater Treatment Plants — State of the Art and Future Trends”,Wat. Sci. Tech.,21,1333 (1989).

    CAS  Google Scholar 

  • Olsson, G B., “Control of Wastewater Treatment Systems”,ISA Trans.,31 (1992).

  • Olsson, G. and Newell, B., “Wastewater Treatment Systems: Modelling, Diagnosis and Control”, IWA, UK (2000).

    Google Scholar 

  • Pons, M. N., Spanjers, H. and Jeppsson, U., “Towards a Benchmark for Evaluating Control Strategies in Wastewater Treatment Plants by Simulation”, Escape 9, Budapest (1999).

  • Qin, S. J., “Recursive PLS Algorithms for Adaptive Data Modeling”,Comp. & Chem. Eng.,22,503 (1998).

    Article  CAS  Google Scholar 

  • Raich, A. C. and Çinar, A., “Multivariate Statistical Methods for Monitoring Continuous Process: Assessment of Discrimination Power of Disturbance Models and Diagnosis of Multiple Disturbances”,Chem. Intelli. Lab.,30,37 (1995).

    Article  CAS  Google Scholar 

  • Roche, N., “A Simple Empirical Model for Hindered Settling in Activated Sludge Clarifier”,Wat. Env. Res.,67,775 (1995).

    Article  CAS  Google Scholar 

  • Rosen, C., “Monitoring Wastewater Treatment System”, M.S. Thesis, Lund Univ., Sweden (1998).

    Google Scholar 

  • Rundqwist, L., “Self-Tuning Control of the Dissolved Oxygen Concentration in an Activated Sludge Process”, Licentiate thesis, Dept. Automatic Control, Lund Inst. Tech. (1986).

  • Russel, E. L., Chiang, L. H. and Braatz, R. D., “Fault Detection in Industrial Processes using Canonical Variate Analysis and Dynamic Principal Component Analysis”,Chem. Intelli. Lab.,51,81 (2000).

    Article  Google Scholar 

  • Spanjers, H. and Keesman, K. J., “Identification of Wastewater Biodegradation Kinetics”, Pro. 3th. IEEE. Conference on Control Applications, Scotland (1994).

  • Spanjers, H. and Vanrolleghem, P., “Respirometry as a Tool for Rapid Characterization of Wastewater and Activated Sludge”,Wat. Sci. Tech.,34,117(1995).

    Article  Google Scholar 

  • Spanjers, H., Vanrolleghem, P., Olsson, G. and Dole, P. “Respirometry in Control of the Activated Sludge Process”,Wat. Sci. Tech.,34,117 (1996).

    Article  CAS  Google Scholar 

  • Spanjers, H., Takacs, I. and Brouwer, H., “Direct Parameter Extraction from Respirograms for Wastewater and Biomass Characterization”,Wat. Sci. Tech.,39,137 (1999).

    Article  Google Scholar 

  • Steffens, M. A. and Lant, P. A., “Multivariable Control of Nutrient Removing Activated Sludge Systems”,Wat. Res.,33, 2864 (1999).

    Article  CAS  Google Scholar 

  • Stephan, J. N. and Anthony, G. G., “Expert Systems in Water Treatment Plant Operation”,J. AWWA., Management and Operation, Feb. (1991).

  • Stephenson, J. P., “Practices in Activated Sludge Process Control”, In Comprehensive Biotechnology, Ed. M. Moo-Young, 4, Chap. 4, 1131 (1985).

  • Su, H. and McAvoy, T J., “Long-Term Predictions of Chemical Processes using Recurrent Neural Networks: A Parallel Training Approach”,Ind. Eng. Chem. Res.,31,1338 (1992).

    Article  CAS  Google Scholar 

  • Suescun, J., Irizar, I., Ostolaza, X. and Ayesa, E., “DO Control and Simultaneous Estimation of Oxygen Uptake Rate in Activated-Sludge Plants”,Wat. Env. Res.,70, 316 (1998).

    Article  CAS  Google Scholar 

  • Takacs, I., Patty, G. G. and Nolasco, D., “A Dynamic Model of the Clarification-Thickening Process”,Wat. Res.,25,1263 (1991).

    Article  CAS  Google Scholar 

  • Tenno, R. and Uronen, P., “State and Parameter Estimation for Wastewater Treatment Process using a Stochastic Model”,Control Eng. Practice,3,793 (1995).

    Article  Google Scholar 

  • Tenno, R. and Uronen, P., “Estimation for a Large-Scale Wastewater Treatment System”,Automatica,32, 305 (1996).

    Article  Google Scholar 

  • Teppola, P., “Multivariate Process Monitoring of Sequential Process Data A Chemometric Approach”, Ph.D. Thesis, Lappeenranta Univ., Finland (1999).

    Google Scholar 

  • Tomita, R. K., Park, S. W. and Zanabria, O. A., “Multivariate Analysis of Activated Sludge Process”, Proceedings 5th International IWA Symposium Systems Analysis and Computing in Water Quality Management WATERMATEX2000, Gent, Belgium, 91 (2000).

    Google Scholar 

  • Tyagi, R. D. and Du, Y. G., “Kinetic Model for the Effects of Heavy Metals on Activated Sludge Process using Neural Networks”,Envir. Technol,13, 883 (1992).

    CAS  Google Scholar 

  • Van Dongen, G. and Geuens, L., “Multivariate Time Series Analysis for Design and Operation of a Biological Wastewater Treatment Plant”,Water Research,32, 691 (1998).

    Article  Google Scholar 

  • Van Overschee, P. and De Moor, B., “Subspace Identification for Linear Systems, Theory, Implementation, Applications”, Kluwer Academic Publishers (1996).

  • Vanrolleghem, P., Daele, V M. and Dochain, D., “Practical Identifiability of Biokinetic Models of Activated Sludge Respiration”,Wat. Res.,29,2561 (1995).

    Article  CAS  Google Scholar 

  • Vanrolleghem, P., Spanjers, H., Petersen, B., Ginestet, P. and Takacs, I., “Estimating (Combinations of) Activated Sludge Model No. 1 Parameters and Components by Respirometry”,Wat. Sci. Tech.,39, 195 (1998).

    Article  Google Scholar 

  • Vitasovic, Z. Z., “An Integrated Control Strategy for the Activated Sludge Process”, Ph.D. Dissertaion, Rice, U.S. (1986).

    Google Scholar 

  • Wang, J., “The Application of Decision Support System in the City’s Water Supply Dispatch”, Water Hong Kong, Hong Kong, China (1996).

    Google Scholar 

  • Watanabe, S., Baba, K., Yoda, M., Wu, W., Enbutsu, I., Hiraoka, M. and Tsumura, K., “Intelligent Operation Support System for Activated Sludge Process”,Wat. Sci. Tech.,28,11 (1993).

    Google Scholar 

  • Weijers, S. R, Kok, J. J., Preisig, H. A., Buunen, A. and Wouda, T. W. M., “Parameter Identifiability in the IAWQ Model No. 1 for Modeling Activated Sludge Plants for Enhanced Nitrogen Removal”,Comp. & Chem. Eng.,20, S1455 (1996).

    Article  CAS  Google Scholar 

  • Wells, C. H., “Computer Control of Fully Nitrifying Activated Sludge Process”,Inst. Tech.,4, 32 (1979).

    Google Scholar 

  • Wikstrom, C, Albano, C, Eriksson, L., Fridén, H., Johansson, E., Nordahl, ⇘, Rannar, S., Sandberg, M., Kettaneh-Wold, N. and Wold, S., “Multivariate Process and Quality Monitoring Applied to an Electrolysis Process — Part I. Process Supervision with Multivariate Control Charts”,Chem. Intelli. Lab.,42, 221 (1998).

    Article  CAS  Google Scholar 

  • Wise, B. M. and Gallagher, N. B., “The Process Chemomettics Approach to Process Monitoring and Fault Detection”,Journal of Process Control,6, 329 (1996).

    Article  CAS  Google Scholar 

  • Yoo, C. K., “Modeling and Control of Biological Wastewater Treatment Process”, Ph.D. Thesis Proposal, POSTECH (2000).

  • Yoo, C. K., Choi, S. W., Park, J. H. and Lee, I., “Time Series Analysis and Neural Network Classification of the Secondary Settler in the Wastewater Plant”, WATERMATEX2000,99, Gent, Belgium (2000).

    Google Scholar 

  • Yoo, C. K., Cho, J. H., Kwak, H. I, Choi, S. K., Chun, H. D. and Lee, I., “Closed-Loop Identification and Control for Dissolved Oxygen Concentration in the Full-Scale Coke Wastewater Treatment Plant”,Wat. Sci. Tech., in press (2001).

  • Yoo, C. K. and Lee, I., “Supervisory Control Based on Simultaneous Process Identification andin-situ Estimation in the Full-scale Wastewater Treatment Plant”,J. Env. Eng., in preparation (2001).

  • Yuan, Z., Bogaert, H., Vanrolleghem, P., Thoeye, C, Vansteenkiste, G. and Verstraete, W., “Control of External Carbon Addition to Predenitrifying Systems”,J. Envir. Engng.,123,1080 (1997).

    Article  CAS  Google Scholar 

  • Zhao, H., Hao, O. J., McAvoy, T. J. and Chang, C., “Modeling Nutrient Dynamics in Sequencing Batch Reactor”,J. Env. Eng.,123, 311 (1997).

    Article  CAS  Google Scholar 

  • Zhao, H., Hao, O. J. and McAvoy., “Approaches to Modeling Nutrient Dynamics: ASM2, Simplified Model and Neural Network”,Wat. Sci. Tech.,39, 227 (1999).

    Article  CAS  Google Scholar 

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Authors and Affiliations

  1. Department of Chemical Engineering, Pohang University of Science and Technology, San 31 Hyoja Dong, 790-784, Pohang, Korea

    Chang Kyoo Yoo, Dong Soon Kim, Ji-Hoon Cho, Sang Wook Choi & In-Beum Lee

  2. School of Science and Environmental Engineering, Pohang University of Science and Technology, San 31 Hyoja Dong, 790-784, Pohang, Korea

    Dong Soon Kim & Sang Wook Choi

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  1. Chang Kyoo Yoo
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  2. Dong Soon Kim
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  3. Ji-Hoon Cho
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  4. Sang Wook Choi
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  5. In-Beum Lee
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Correspondence to In-Beum Lee.

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Yoo, C.K., Kim, D.S., Cho, JH. et al. Process system engineering in wastewater treatment process. Korean J. Chem. Eng. 18, 408–421 (2001). https://doi.org/10.1007/BF02698284

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  • DOI: https://doi.org/10.1007/BF02698284

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