Progress in the Development of Control Strategies for the SBR Process

The sequencing batch reactor (SBR) process has shown great success in the treatment of industrial wastewater from intermittent discharge factories and for the treatment of domestic wastewater from medium or small towns. As automation technology has developed, many studies have been conducted to determine the optimal conditions for the SBR process. This review outlines the progress and application of control strategies that have been developed for the SBR process and provides a summary and comparison of the advantages and disadvantages of various control strategies, especially fixed-time control strategies and various real-time control strategies. Moreover, an analysis and discussion of novel optimal control methods for biologic nutrient removal are provided. Although previous studies in this field have greatly enriched our understanding of SBR systems, it is clear that many unsolved problems remain. Therefore, a summary of unanswered questions regarding control strategies for the SBR process is provided and future research directions are suggested.

[1]  Implications of the task group model-I. The effect of initial substrate concentration , 1990 .

[2]  S. Wang,et al.  Nitrite accumulation by aeration controlled in sequencing batch reactors treating domestic wastewater. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.

[3]  Faisal Hossain,et al.  An algorithmic approach for system-specific modelling of activated sludge bulking in an SBR , 2000, Environ. Model. Softw..

[4]  P. A. Wilderer,et al.  Computer Aided Design of Sequencing Batch Reactors Based on the IAWPRC Activated Sludge Model , 1991 .

[5]  Peter A Vanrolleghem,et al.  Monitoring of a sequencing batch reactor using adaptive multiblock principal component analysis. , 2003, Biotechnology and bioengineering.

[6]  Ll Corominas,et al.  Wastewater nitrogen removal in Sbrs, applying a step-feed strategy: from lab-scale to pilot-plant operation. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.

[7]  Ruey-Fang Yu,et al.  Applying real-time control to enhance the performance of nitrogen removal in the continuous-flow SBR system , 1998 .

[8]  B Wett,et al.  Feedforward aeration control of a Biocos wastewater treatment plant. , 2001, Water science and technology : a journal of the International Association on Water Pollution Research.

[9]  Oliver J. Hao,et al.  USING pH AS A REAL-TIME CONTROL PARAMETER FOR WASTEWATER TREATMENT AND SLUDGE DIGESTION PROCESSES , 1994 .

[10]  R. Irvine,et al.  An enhanced biological phosphorus removal (EBPR) control strategy for sequencing batch reactors (SBRs). , 2001, Water science and technology : a journal of the International Association on Water Pollution Research.

[11]  Marais,et al.  Enhanced polyphosphate organism cultures in activated sludge systems. Part III: kinetic model , 1989 .

[12]  Robert L. Irvine,et al.  Comparison of biological and chemical phosphorus removals in continuous and sequencing batch reactors , 1987 .

[13]  Qing Yang,et al.  Biological nitrogen removal with real-time control using step-feed SBR technology , 2007 .

[14]  F. Kargı,et al.  Biological nutrient removal from pre-treated landfill leachate in a sequencing batch reactor. , 2004, Journal of environmental management.

[15]  Mogens Henze,et al.  Activated Sludge Model No.2d, ASM2D , 1999 .

[16]  Dae Sung Lee,et al.  Monitoring of sequencing batch reactor for nitrogen and phosphorus removal using neural networks , 2007 .

[17]  S. Puig,et al.  Development and implementation of a real-time control system for nitrogen removal using OUR and ORP as end points , 2005 .

[18]  H Steinmetz,et al.  A process-dependent real-time controller for sequencing batch reactor plants: results of full-scale operation. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[19]  J. la Cour Jansen,et al.  Optimum operation of a small sequencing batch reactor for bod and nitrogen removal based on on-line our-calculation , 1997 .

[20]  Dawen Gao,et al.  Using Oxidation–Reduction Potential (ORP) and pH Value for Process Control of Shortcut Nitrification–Denitrification , 2003, Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering.

[21]  N. Fleischmann,et al.  On-line monitoring for control of a pilot-scale sequencing batch reactor using a submersible UV/VIS spectrometer. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.

[22]  Daniel R. Thévenot,et al.  Elements in the Interpretation of Platinum Electrode Potentials in Biological Treatment , 1992 .

[23]  Zhiqiang Chen,et al.  Nitrification–denitrification via nitrite in SBR using real-time control strategy when treating domestic wastewater , 2007 .

[24]  S L Liaw,et al.  Dynamic control of a continuous-inflow SBR with time-varying influent loading. , 2001, Water science and technology : a journal of the International Association on Water Pollution Research.

[25]  A. Guisasola,et al.  On-line monitoring of the enhanced biological phosphorus removal process using respirometry and titrimetry , 2007 .

[26]  Germán Buitrón,et al.  Evaluation of two control strategies for a sequencing batch reactor degrading high concentration peaks of 4-chlorophenol. , 2005, Water research.

[27]  Ryuichi Sudo,et al.  Integrated real-time control strategy for nitrogen removal in swine wastewater treatment using sequencing batch reactors. , 2004, Water research.

[28]  A. Spagni,et al.  Experimental considerations on monitoring ORP, pH, conductivity and dissolved oxygen in nitrogen and phosphorus biological removal processes. , 2001, Water science and technology : a journal of the International Association on Water Pollution Research.

[29]  Ken J. Hall,et al.  Closure of "Real-Time Control of Aerobic-Anoxic Sludge Digestion Using ORP" , 1994 .

[30]  Y Z Peng,et al.  Use pH and ORP as fuzzy control parameters of denitrification in SBR process. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.

[31]  R. Lemaire,et al.  Achieving the nitrite pathway using aeration phase length control and step‐feed in an SBR removing nutrients from abattoir wastewater , 2008, Biotechnology and bioengineering.

[32]  W. Gujer,et al.  A general model for single-sludge wastewater treatment systems , 1987 .

[33]  S Marsili-Libelli Control of SBR switching by fuzzy pattern recognition. , 2006, Water research.

[34]  H Steinmetz,et al.  A comparison of continuous flow and sequencing batch reactor plants concerning integrated operation of sewer systems and wastewater treatment plants. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[35]  A new interpretation of ASM2d for modeling of SBR performance for enhanced biological phosphorus removal under different P/HAc ratios , 2006, Biotechnology and bioengineering.

[36]  Jung-Jeng Su,et al.  Utilization of sequencing batch reactor for in situ piggery wastewater treatment , 1997 .

[37]  N Hvala,et al.  Experimental design of an optimal phase duration control strategy used in batch biological wastewater treatment. , 2001, ISA transactions.

[38]  Yongzhen Peng,et al.  DO Concentration as a Fuzzy Control Parameter for Organic Substrate Removal in SBR Processes , 2004 .

[39]  Asher Brenner Use of computers for process design analysis and control: sequencing batch reactor application , 1997 .

[40]  J. Wanner,et al.  Dynamic mathematical modelling of sequencing batch reactors with aerated and mixed filling period , 1997 .

[41]  John F. MacGregor,et al.  Multivariate SPC charts for monitoring batch processes , 1995 .

[42]  Jaime A. Moreno,et al.  Observer-based time-optimal control of an aerobic SBR for chemical and petrochemical wastewater treatment , 2000 .

[43]  B. Capdeville,et al.  Real-time control of nitrogen removal using three orp bending-points: Signification, control strategy and results , 1996 .

[44]  Thomas J. McAvoy,et al.  Approaches to modeling nutrient dynamics: ASM2, simplified model and neural nets , 1999 .

[45]  P A Vanrolleghem,et al.  Evolution of an ASM2d-like model structure due to operational changes of an SBR process. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[46]  P. Yongzhen,et al.  Partial Nitrification from Domestic Wastewater by Aeration Control at Ambient Temperature , 2007 .

[47]  T G Schmitt,et al.  Integrated real-time control for a sequencing batch reactor plant and a combined sewer system. , 2005, Water science and technology : a journal of the International Association on Water Pollution Research.

[48]  G. Bortone,et al.  Biological nutrient removal in a full-scale SBR treating piggery wastewater: results and modelling. , 2001, Water science and technology : a journal of the International Association on Water Pollution Research.

[49]  Peter A Vanrolleghem,et al.  Application of multiway ICA for on-line process monitoring of a sequencing batch reactor. , 2004, Water research.

[50]  J Mikosz,et al.  Use of computer simulation for cycle length adjustment in sequencing batch reactor. , 2001, Water science and technology : a journal of the International Association on Water Pollution Research.

[51]  Jaime A. Moreno,et al.  Respirometry based optimal control of an aerobic bioreactor for the industrial waste water treatment , 1998 .

[52]  Hiroshi Sasaki,et al.  Effectiveness of oxidation-reduction potential and pH as monitoring and control parameters for nitrogen removal in swine wastewater treatment by sequencing batch reactors. , 2003, Journal of bioscience and bioengineering.

[53]  G Buitrón,et al.  Evaluation of an optimal fill strategy to biodegrade inhibitory wastewater using an industrial prototype discontinuous reactor. , 2007, Water science and technology : a journal of the International Association on Water Pollution Research.

[54]  M Ragazzi,et al.  On-line control of a SBR system for nitrogen removal from industrial wastewater. , 2001, Water science and technology : a journal of the International Association on Water Pollution Research.

[55]  C. Yoo,et al.  Nonlinear process monitoring using kernel principal component analysis , 2004 .

[56]  G. Demoulin,et al.  Co-current nitrification/denitrification and biological p-removal in cyclic activated sludge plants by redox controlled cycle operation , 1997 .

[57]  J. Audic,et al.  REAL-TIME CONTROL OF NITROGEN REMOVAL AT FULL-SCALE USING OXIDATION REDUCTION POTENTIAL , 1994 .

[58]  D. Gao,et al.  Nitrification-denitrification via nitrite for nitrogen removal from high nitrogen soybean wastewater with on-line fuzzy control. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.

[59]  S. L. Law,et al.  Development of a real-time control strategy with artificial neural network for automatic control of a continuous-flow sequencing batch reactor. , 2001, Water science and technology : a journal of the International Association on Water Pollution Research.

[60]  Control and modelling of partial nitrification of effluents with high ammonia concentrations in sequencing batch reactor , 2008 .

[61]  M. Sui,et al.  Use of pH as fuzzy control parameter for nitrification under different alkalinity in SBR process. , 2003, Water science and technology : a journal of the International Association on Water Pollution Research.

[62]  J. Charpentier,et al.  Oxidation-reduction potential (ORP) regulation as a way to optimize aeration and C, N, and P removal: experimental basis and various full-scale examples , 1989 .

[63]  Qing Yang,et al.  Nitrogen removal via nitrite from municipal wastewater at low temperatures using real-time control to optimize nitrifying communities. , 2007, Environmental science & technology.

[64]  I. Takács A dynamic model of the clarification-thickening process , 1991 .

[65]  A Cohen,et al.  An intelligent controller for automated operation of sequencing batch reactors. , 2003, Water science and technology : a journal of the International Association on Water Pollution Research.

[66]  Robert L. Irvine,et al.  The Biological Removal of Phosphorus in a Sequencing Batch Reactor (SBR) – Practical Considerations and Research Observations , 1985 .

[67]  P A Vanrolleghem,et al.  Model-based evaluation of an on-line control strategy for SBRs based on OUR and ORP measurements. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[68]  P Ratini,et al.  Implementation, study and calibration of a modified ASM2d for the simulation of SBR processes. , 2001, Water science and technology : a journal of the International Association on Water Pollution Research.

[69]  In-Beum Lee,et al.  On-Line Adaptive and Nonlinear Process Monitoring of a Pilot-Scale Sequencing Batch Reactor , 2006, Environmental monitoring and assessment.

[70]  Takashi Asano,et al.  Sequencing batch reactors for biological wastewater treatment , 1989 .

[71]  Zhiguo Yuan,et al.  Demonstration of nitrogen removal via nitrite in a sequencing batch reactor treating domestic wastewater. , 2008, Water research.

[72]  Monique Polit,et al.  Fuzzy control of dissolved oxygen in a sequencing batch reactor pilot plant , 2005 .

[73]  J. Keller,et al.  Nitrogen removal in a SBR using the OGAR process control system. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.

[74]  Asher Brenner Modelling of N and P transformations in an SBR treating municipal wastewater , 2000 .

[75]  S. Puig,et al.  An on-line optimisation of a SBR cycle for carbon and nitrogen removal based on on-line pH and Our: the role of dissolved oxygen control. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[76]  S. Wang,et al.  Nitrogen removal from pharmaceutical manufacturing wastewater with high concentration of ammonia and free ammonia via partial nitrification and denitrification. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.

[77]  O. Hao,et al.  Sequencing batch reactor system for nutrient removal : ORP and pH profiles , 1996 .

[78]  Y. Peng,et al.  Nitrogen removal from pharmaceutical manufacturing wastewater via nitrite and the process optimization with on-line control. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.

[79]  Yongzhen Peng,et al.  Characteristics of anoxic phosphorus removal in sequence batch reactor. , 2007, Journal of environmental sciences.

[80]  A Klapwijk,et al.  Control of intermittently aerated nitrogen removal plants by detection endpoints of nitrification and denitrification using respirometry only , 1998 .

[81]  Peter A Vanrolleghem,et al.  Adaptive Consensus Principal Component Analysis for On-Line Batch Process Monitoring , 2004, Environmental monitoring and assessment.

[82]  Olcay Tünay,et al.  Substrate Removal Mechanism for Sequencing Batch Reactors , 1986 .

[83]  G. Andreottola,et al.  Experimental validation of a simulation and design model for nitrogen removal in sequencing batch reactors , 1997 .

[84]  Małgorzata Kacprzak,et al.  Treatment of landfill leachate by sequencing batch reactor , 2005 .

[85]  R. Bhamidimarri,et al.  Biological nutrient removal from meat processing wastewater using a sequencing batch reactor. , 2003, Water science and technology : a journal of the International Association on Water Pollution Research.

[86]  Petros Samaras,et al.  Combined treatment of landfill leachate and domestic sewage in a sequencing batch reactor , 1997 .

[87]  M. Pijuan,et al.  Improving the start-up of an EBPR system using OUR to control the aerobic phase length: a simulation study. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[88]  Ahmed E. Abasaeed Sensitivity analysis on a sequencing batch reactor model I. Effect of kinetic parameters , 1997 .

[89]  On-line titrimetric monitoring of anaerobic-anoxic EBPR processes. , 2008, Water science and technology : a journal of the International Association on Water Pollution Research.

[90]  Hyunook Kim,et al.  SBR System for Phosphorus Removal: ASM2 and Simplified Linear Model , 2001 .

[91]  B. Akin,et al.  Monitoring and control of biological nutrient removal in a Sequencing Batch Reactor , 2005 .

[92]  W. Gujer,et al.  Activated sludge model No. 3 , 1995 .

[93]  D. Orhon,et al.  Rational basis for optimal design of sequencing batch reactors with multiple anoxic filling for nitrogen removal , 2006 .

[94]  J. M. Park,et al.  Biological nitrogen removal with enhanced phosphate uptake in a sequencing batch reactor using single sludge system. , 2001, Water research.

[95]  Alberto Ferrer,et al.  Multivariate SPC of a sequencing batch reactor for wastewater treatment , 2007 .

[96]  F. A. Koch,et al.  Oxidation-Reduction Potential – A Tool for Monitoring, Control and Optimization of Biological Nutrient Removal Systems , 1985 .

[97]  Paola Mello,et al.  AI Techniques for Waste Water Treatment Plant Control Case Study: Denitrification in a Pilot-Scale SBR , 2007, KES.

[98]  Y. Wang,et al.  Influence of ORP variation, carbon source and nitrate concentration on denitrifying phosphorus removal by DPB sludge from dephanox process. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.

[99]  Baikun Li,et al.  The comparison of alkalinity and ORP as indicators for nitrification and denitrification in a sequencing batch reactor (SBR) , 2007 .

[100]  A. E. Abasaeed,et al.  Modelling of sequencing batch reactors , 1995 .

[101]  Y J Kim,et al.  Equipment fault diagnosis system of sequencing batch reactors using rule-based fuzzy inference and on-line sensing data. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.

[102]  M. Casellas,et al.  Set up and assessment of a control strategy in a SBR in order to enhance nitrogen and phosphorus removal , 2006 .

[103]  Alberto Ferrer,et al.  Comparison of different predictive models for nutrient estimation in a sequencing batch reactor for wastewater treatment , 2006 .