Identification, estimation and control of biological waste-water treatment processes

The biological processes of waste-water treatment have often been regarded in practice as largely self-controlled and somewhat inflexible in their operation. The paper reviews some of the reasons why it has been difficult to apply the methods of control theory to these processes, and what the future role of control in waste-water treatment might be. Attention is restricted to three processes: the activated sludge process, the oxidation ditch and anaerobic digestion. In contrast to many biotechnical processes, these processes are characterised by a heterogeneous culture of micro-organisms and by multiple substrates degraded along several reaction pathways. Their dynamics are extremely difficult to identify, their observed input/output relationships frequently exhibiting substantial stability punctuated by abrupt instabilities. Other aspects of their behaviour are relatively well defined, in particular the dynamics of dissolved oxygen in the activated sludge process, and have been equally well studied from the point of view of online state-parameter estimation and adaptive control. There is still, however, a large gap between practice and theory, and, in looking briefly at an agenda of problems for the future, the paper places special emphasis on, inter alia, issues of fault detection and diagnosis and the use of plant operator experience in generating novel approaches to control.

[1]  Jukka Ranta,et al.  Modelling and simulation of bacterial population age distribution in activated sludge plant , 1977 .

[2]  J. Howell,et al.  On-line measurement of respiration and mass transfer rates in an activated sludge aeration tank , 1984 .

[3]  Denis Dochain,et al.  Adaptive Estimation of Microbial Growth Rates , 1985 .

[4]  Denis Dochain,et al.  Adaptive identification and control algorithms for nonlinear bacterial growth systems , 1984, Autom..

[5]  J F Andrews,et al.  Dynamics of nitrification in the activated sludge process. , 1975, Journal - Water Pollution Control Federation.

[6]  D. Hawkes,et al.  Control of the anaerobic digestion of livestock wastes , 1985 .

[7]  G. A. Ekama,et al.  A GENERAL MODEL FOR THE ACTIVATED SLUDGE PROCESS , 1981 .

[8]  M. Könne Practical experiences with a new on‐line BOD measuring device , 1985 .

[9]  M. Hikuma,et al.  BOD QUICK ESTIMATING SYSTEM UTILIZING A MICROBIAL ELECTRODE , 1985 .

[10]  J. Howell,et al.  On-line respirometry and estimation of aeration efficiencies in an activated sludge aeration basin f , 1985 .

[11]  John F. Andrews,et al.  Dynamic Model of the Anaerobic Digestion Process , 1969 .

[12]  G. Olsson Automatic Control in Wastewater Treatment Plants , 1980 .

[13]  T. Sekine,et al.  ADVANCED CONTROL STRATEGIES FOR THE ACTIVATED SLUDGE PROCESS , 1985 .

[14]  Control of the specific oxygen utilisation rate for the step-feed activated-sludge process , 1984 .

[15]  E. J. Tomlinson,et al.  Process management systems at sewage-Treatment works: witney evaluation and demonstration facilities , 1984 .

[16]  Stefano Marsili-Libelli,et al.  Activated Sludge Process Control Using Dissolved Oxygen Measurements , 1984 .

[17]  M. Hiraoka,et al.  SYSTEMATIC APPROACH TO THE CONTROL OF AN ACTIVATED SLUDGE WASTEWATER TREATMENT PLANT , 1985 .

[18]  Stefano Marsili-Libelli,et al.  OPTIMAL AERATION CONTROL FOR WASTEWATER TREATMENT , 1979 .

[19]  P. Jowitt,et al.  Investigation of Dissolved Oxygen Dynamics in the Activated Sludge Process , 1985 .

[20]  M. B. Beck Operational estimation and prediction of nitrification dynamics in the activated sludge process , 1981 .

[21]  M. B. Beck,et al.  Fuzzy control of the activated sludge wastewater treatment process , 1980, Autom..

[22]  M B Beck On the Development and Application of Models for Water Quality Management , 1984 .

[23]  M. B. Beck Modelling and control studies of the activated sludge process at Norwich Sewage Works , 1984 .

[24]  William R. Hill Operation and Maintenance of Water Pollution Control Facilities: A WPCF White Paper. , 1979 .

[25]  P W Jowitt Risk Analysis, Fuzzy Logic and River Basin Management , 1984 .

[26]  J. DiStefano,et al.  Identifiability of Model Parameter , 1985 .

[27]  John F. Andrews,et al.  REAL-TIME CONTROL OF ACTIVATED SLUDGE PROCESS , 1979 .

[28]  Aarne Halme THE INDUSTRIAL APPLICATION OF MODERN MEASUREMENT AND ESTIMATION TECHNIQUES IN BIOTECHNOLOGY , 1986 .

[29]  M. B. Beck,et al.  Uncertainty and forecasting of water quality , 1983 .

[30]  M. Hiraoka,et al.  DIGITAL IMAGE PROCESSING FOR MEASURING THE LENGTH OF FILAMENTOUS MICRO ORGANISMS IN ACTIVATED SLUDGE , 1985 .

[31]  M. B. Beck Structures, Failure, Inference and Prediction , 1985 .

[32]  G. Marais,et al.  Evaluation of the General Activated Sludge Model Proposed by the IAWPRC Task Group , 1986 .

[33]  A. Rozzi,et al.  Anaerobic process control by bicarbonate monitoring , 1985 .

[34]  Generic Feed Forward Control of Activated Sludge , 1973 .

[35]  D. M. Himmelblau,et al.  Simulation of a time dependent activated sludge wastewater treatment plant , 1981 .

[36]  Peter C. Young,et al.  Identification and system parameter estimation , 1985 .

[37]  Andrea Holmberg,et al.  Modelling of the activated sludge process for microprocessor-based state estimation and control , 1982 .

[38]  A. Rozzi,et al.  Modelling and control of anaerobic digestion processes , 1984 .

[39]  L. B. Koppel,et al.  Automatic control of the activated sludge process—I. Development of a simplified dynamic model , 1978 .

[40]  Andrea Holmberg,et al.  Microprocessor-based estimation of oxygen utilization in the activated sludge wastewater treatment process , 1981 .

[41]  R. Lech Automatic control of the activated sludge process—II. Efficacy of control strategies , 1978 .

[42]  Petar V. Kokotovic,et al.  A nonlinear regulator problem for a model of biological waste treatment , 1971 .

[43]  G. A. Jones,et al.  The prevention of filamentous bulking of activated sludge by operation means at Halifax sewage-treatment works , 1985 .

[44]  Ewart R. Carson,et al.  The Validation of Complex, Unidentifiable Models of the Cardiovascular System , 1985 .

[45]  Aaron S. Collins,et al.  Control of Anaerobic Digestion Process , 1974 .

[46]  G. Olsson State of the Art in Sewage Treatment Plant Control , 1976 .

[47]  Gustaf Olsson,et al.  Modelling the Dynamics of Clarifier Behaviour in Activated Sludge Systems , 1985 .

[48]  M. Goto,et al.  ON-LINE ESTIMATION OF OXYGEN UPTAKE RATE IN THE ACTIVATED SLUDGE PROCESS , 1985 .

[49]  Gustaf Olsson,et al.  Self-Tuning Control of the Dissolved Oxygen Concentration in Activated Sludge Systems , 1985 .

[50]  John F. Andrews,et al.  Dynamic models and control strategies for wastewater treatment processes , 1974 .

[51]  Graham C. Goodwin,et al.  Adaptive control and identification of the dissolved oxygen process , 1982, Autom..

[52]  M. B. Beck,et al.  Operational River Water Quality Management , 1984 .

[53]  Michael J. Flanagan,et al.  Automatic Dissolved Oxygen Control , 1977 .

[54]  Rolf Isermann,et al.  Process fault detection based on modeling and estimation methods - A survey , 1984, Autom..

[55]  D. G. Cramp,et al.  Clinical Time Series: Analysis, Modelling and Recursive Estimation , 1985 .

[56]  S. Sorooshian,et al.  Automatic calibration of conceptual rainfall-runoff models: The question of parameter observability and uniqueness , 1983 .