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Instrumentation, Control and Automation in Wastewater Systems

Instrumentation, Control and Automation in Wastewater Systems

Gustaf Olsson | M. Nielsen | Zhiguo Yuan | Anders Lynggaard-Jensen | J.-P. Steyer

(2005)

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Book Details

Abstract

Instrumentation, control and automation (ICA) in wastewater treatment systems is now an established and recognised area of technology in the profession. There are obvious incentives for ICA, not the least from an economic point of view. Plants are also becoming increasingly complex which necessitates automation and control. Instrumentation, Control and Automation in Wastewater Systems summarizes the state-of-the-art of ICA and its application in wastewater treatment systems and focuses on how leading-edge technology is used for better operation. The book is written for: The practising process engineer and the operator, who wishes to get an updated picture of what is possible to implement in terms of ICA;      The process designer, who needs to consider the couplings between design and operation;      The researcher or the student, who wishes to get the latest technological overview of an increasingly complex field. There is a clear aim to present a practical ICA approach, based on a technical and economic platform. The economic benefit of different control and operation possibilities is quantified. The more qualitative benefits, such as better process understanding and more challenging work for the operator are also described. Several full-scale experiences of how ICA has improved economy, ease of operation and robustness of plant operation are presented. The book emphasizes both unit process control and plant wide operation.   Scientific & Technical Report No. 15

Table of Contents

Section Title Page Action Price
Contents v
Preface ix
Abbreviations and acronyms xi
Index cclii
1.0 Introduction xiv
1.1 MOTIVATION xiv
Why control a wastewater plant? Mine has been running fine! xv
1.2 ICA TODAY xv
1.3 DRIVING FORCES FOR ICA xvi
Effluent quality standards xvi
Economy xvi
Plant complexity xvii
Improved tools xvii
1.4 CONSTRAINTS FOR ICA xvii
Legislation xvii
Education, training and understanding xviii
Economy xviii
Measuring devices xviii
Plant constraints xviii
Software xviii
Education xviii
1.5 DISTURBANCES xix
1.6 SETTING THE PRIORITIES xix
New possibilities xx
1.7 OVERVIEW OF THIS SCIENTIFIC AND TECHNICAL REPORT xx
1.8 CHAPTER REFERENCES xxi
2.0 A short history of ICA xxii
2.1\tCONFERENCES ON ICA IN WASTEWATER TREATMENT SYSTEMS xxii
London/Paris 1973 xxii
Clemson 1974 xxiv
London/Stockholm 1977 xxv
Munich/Rome 1981, Houston/Denver 1985 and \x0BKyoto/Yokohama 1990 xxvi
Hamilton/Banff 1993, Copenhagen 1995 and Brighton 1997 xxvii
The AutMoNet conferences 2002 and 2004 xxviii
2.2\tNEW CHALLENGES xxix
2.3\tCHAPTER REFERENCES xxix
3.0 Current status of ICA in some countries xxxi
3.1 PENETRATION OF ICA INTO WASTEWATER TREATMENT xxxi
3.2 ASSESSING PERFORMANCE DUE TO ICA xxxviii
Benchmarking xxxviii
Key performance indicators xxxix
Nitrification efficiency xxxix
Nitrogen removal xl
Phosphorous removal xli
Assessment of ICA utilisation xli
Example 1: Chemical precipitation xli
Example 2: Dissolved oxygen control xlii
Example 3: Increasing plant capacity by control instead of design. xliii
Using key performance indicators to evaluate ICA xlv
3.3 THE COST OF ICA IMPLEMENTATIONS xlv
3.4 COST/BENEFIT OF USING ICA xlvi
Employment xlviii
Soft benefits xlviii
3.5 TRENDS IN ICA xlix
3.6 CHAPTER REFERENCES l
4.0 Unit process control in wastewater treatment li
4.1 FEATURES OF WASTEWATER TREATMENT PROCESS CONTROL li
Disturbances li
Process complexity lii
Operational objectives liii
Manipulatable variables liv
Sensors liv
4.2 CONTROL DESIGN – A GENERAL PROCEDURE liv
Control problem formulation liv
Control strategy development – objective function translation lvi
Control structure selection and control algorithm design lvii
Controller tuning and performance assessment lx
4.3 LEVELS OF AUTOMATION IN WASTEWATER INDUSTRY lxi
Level 1 lx
Level 2 lx
Level 3 lxi
Level 4 lxi
4.4 CHAPTER REFERENCES lxii
5.1 INTRODUCTION lxiii
5.2 CONTROLLING DISSOLVED OXYGEN AT A CONSTANT PRE-SELECTED SET-POINT lxiv
5.3 CAUSE-EFFECT ANALYSIS FOR DO SET-POINT SELECTION lxvi
5.4 DO SET-POINT DETERMINATION IN A COMPLETELY-MIXED AEROBIC REACTOR lxviii
The slave controllers lxx
5.5 DO SET-POINT DETERMINATION IN A PLUG-FLOW-LIKE REACTOR lxxi
Theoretically optimal DO profile along a plug-flow reactor lxxi
Some practical DO control strategies for plug-flow like reactors lxxiii
Example 1: Aeration control at the Källby plant lxxiv
Example 2: Aeration at the Poznan treatment plant lxxvi
What can be learnt from the above two examples? lxxx
5.6 AEROBIC PHASE-LENGTH CONTROL FOR INTERMITTENT SYSTEMS lxxxi
Aeration phase length control using nutrient sensors lxxxi
Example 1: Aerobic phase length control at the Aalborg treatment plant lxxxiv
Aeration phase-length control based on ORP and pH measurement lxxxvi
Aeration Control Based on Bending Points of ORP and pH lxxxvii
Aeration Control Based on Absolute Values of ORP and pH lxxxviii
5.7 SUMMARY lxxxviii
5.8 CHAPTER REFERENCES lxxxviii
6.0 Control strategies for the unit processes - control of sludge xc
6.1 INTRODUCTION xc
6.2 NITRATE RECIRCULATION FLOW CONTROL xc
Cause-effect analysis xci
A sub-optimal control strategy xcii
Control algorithm xciv
Example: Nitrate recirculation control at Källby xciv
Summary xciv
6.3 EXTERNAL CARBON DOSAGE CONTROL xcv
Cause-effect analysis xcvi
Where to add the carbon sources xcvi
The choice of carbon source xcviii
Control of external carbon addition in a pre-denitrification system xcix
Control of carbon addition in the case that nitrate recirculation flow is not controlled dynamically xcix
Integrated control of external carbon addition and nitrate recirculation xcix
Control of external carbon addition in a post-denitrification system cii
Control of External Carbon Dosage to Alternating Systems cii
Control of external carbon addition to an EBPR system ciii
Summary civ
6.4 SRT OR SLUDGE WASTAGE CONTROL civ
Cause-effect analysis civ
A SRT-minimising control system cvi
Summary cvii
6.5 SLUDGE RECYCLING FLOW CONTROL cvii
Feedback controller constrained by the sludge retention time in settler (SRTiS) cxi
Summary cxii
Cause-effect analysis cviii
Control system structure and algorithms cx
6.6 STEP FEED CONTROL cxii
Diminishing solids loading to the settler during hydraulic peak loads cxiii
Nitrogen removal without internal recirculation cxiii
Cause-effect analysis for step feed control cxiv
Control of step feed to reduce the settler load cxv
Control of step ratio in a nitrogen removal plant cxvi
Summary cxviii
6.7 WASTEWATER EQUALISATION TANK CONTROL cxviii
The low-level controller cxix
Modelling and control design cxix
6.8 AERATION SETTLING TANK OPERATION cxx
6.9 CHAPTER REFERENCES cxxii
7.0 Control of anaerobic digestion processes cxxiii
7.1 INTRODUCTION cxxiii
7.2 CONTROL OBJECTIVES cxxviii
7.3 EXAMPLE OF CONTROL APPROACHES cxxx
7.4 EXPERIMENTAL SETUP FOR COMPARISON OF CONTROL LAWS cxxxi
The wastewater used for comparison of the control approaches cxxxi
The AD processes used for comparison of the control approaches cxxxi
7.5 CONTROL OF THE BIOGAS FLOW RATE cxxxv
Artificial Neural Networks cxxxvi
Fuzzy control cxli
Linear control approaches cxliv
Parametric identification of the anaerobic digester cxliv
Disturbance accommodating control cxlvi
Non parametric adaptive control cli
Nonparametric estimation cli
Adaptive nonparametric regulation law clii
Experimental results clii
Non linear robust control taking explicitly into account constraints on actuators cliv
Summary of control laws clv
The \"disturbance monitoring\" control clvii
7.6 CONTROL OF COD, VFA AND MORE clix
On the model complexity needed for model based control clix
Adaptive Control clx
Robust control using advanced sensors clxiii
Robust control using simple sensors clxvi
7.7 CONCLUSION clxviii
7.8 CHAPTER REFERENCES clxviii
8.0 Control strategies for the unit processes - chemical precipitation clxxi
8.1 INTRODUCTION clxxi
8.2 CHEMICAL PRECIPITATION clxxii
General control principles clxxiii
Feedback control of simultaneous precipitation clxxiii
8.3 POST PRECIPITATION clxxiv
Control practice at the Källby treatment plant clxxiv
Flow proportional feed forward control clxxv
Load proportional feed forward control clxxvi
Feedback control based on in situ P measurement clxxvii
8.4 PRE-PRECIPITATION clxxx
8.5 CONCLUSIONS clxxxii
8.6 CHAPTER REFERENCES clxxxiii
9.0 Online sensors/analysers at wastewater treatment plants clxxxiv
9.1 INTRODUCTION clxxxiv
9.2 NUTRIENT SENSORS/ANALYSERS clxxxvi
9.3 CHARACTERISTICS OF ONLINE SENSORS cxc
9.4 SUMMARY cxciv
9.5 CHAPTER REFERENCES cxcv
10.0 Signal analysis and fault detection cxcvi
10.1 INFORMATION IN WASTEWATER TREATMENT PLANTS cxcvi
10.2 DATA SCREENING cxcvii
Introduction cxcvii
Single Data Validation cxcvii
Checking for long-term drift cci
Cross Validation Methods cciii
Example: A Software Nitrate Sensor Based on Ammonium and Redox Signals cciv
Filtering Data ccvii
10.3 DETECTION ccx
Detection – Direct Measurements ccx
Example: Detection of bulking sludge ccxi
Detection – Multivariate Analysis ccxi
10.4 SUMMARY ccxiii
10.5 CHAPTER REFERENCES ccxiv
11.0 Plant-wide control ccxv
11.1 THE PLANT-WIDE PERSPECTIVE ccxv
Interactions ccxvi
Hydraulic interactions ccxvi
Recycles within the plant ccxvii
Interactions along the train of unit processes ccxvii
Resource allocation ccxviii
11.2 OBJECTIVES OF INTEGRATED CONTROL ccxviii
Defining system boundaries ccxviii
Operational objective ccxix
11.3 PREDICTION OF PLANT INFLUENT FLOW RATE ccxx
11.4 CONTROL BY BYPASSING ccxxiv
11.5 EXTENSION OF PLANT CAPACITY BY CONTROL ccxxvi
Example 11.1: Application of pre-precipitation. ccxxvi
Example 11.2: Co-operating processes in parallel plant operation. ccxxvii
Flow distribution between the two parallel plants ccxxvii
Control of excess hydraulic flow ccxxvii
Example 11.3: Operating serially connected unit operations ccxxviii
11.6 EXTENSION OF SEWER SYSTEM CAPACITY BY CONTROL ccxxx
Example 11.4: Integration of sewer and WWTP ccxxx
Example 11.5: Exploitation of sewer system capacity ccxxxi
Example 11.6: Increase certainty on CSO calculations ccxxxi
Example 11.7: Gain system knowledge from online data ccxxxi
11.7 COMPUTER CONTROL SYSTEMS ccxxxii
Information structures ccxxxiii
Process databases ccxxxiv
The human aspect ccxxxvii
11.8 SUMMARY ccxxxvii
11.9 CHAPTER REFERENCES ccxxxviii
12.0 Conclusions ccxxxix
Bibliography ccxli
TEXTBOOKS ON CONTROL AND AUTOMATION ccxli
TEXTBOOKS ON ICA APPLIED TO WASTEWATER TREATMENT SYSTEMS ccxlii
BOOKS ON WASTEWATER TREATMENT PROCESSES ccxlii
CONFERENCES ON ICA AND ON AUTOMATION IN WATER QUALITY MONITORING ccxlii
References ccxliv