Applications of activated sludge models /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Brdjanovic, Damir (Autor), Meijer, Sebastiaan C. F. (Autor), López Vázquez, Carlos Manuel, 1976- (Autor), Hooijmans, Christine M. (Autor), Loorsdrecht, Mark C. M. van (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : IWA Publishing, 2015.
Temas:
Marais, G. v. R. > (Gerrit van Rooyen)
Sewage sludge.
Sewage > Purification > Activated sludge process.
Sewage > Purification > Mathematical models.
Water treatment plant residuals.
Boues d'épuration.
Eaux usées > Épuration > Procédé des boues activées.
Eaux usées > Épuration > Modèles mathématiques.
TECHNOLOGY & ENGINEERING > Environmental > General.
Water treatment plant residuals
Sewage > Purification > Activated sludge process
Sewage > Purification > Mathematical models
Sewage sludge
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover
  • Copyright
  • About the editors
  • My (and others) most unforgettable character
  • A tribute to Professor GvR Marais
  • Foreword
  • Preface
  • Contents
  • Chapter 1: Introduction to modelling of activated sludge processes
  • 1.1 What is a model?
  • 1.2 Modeling basics
  • 1.2.1 Model building
  • 1.2.2 General model set-up
  • 1.2.3 Stoichiometry
  • 1.2.4 Kinetics
  • 1.2.5 Transport
  • 1.2.6 The matrix notation
  • 1.3 The stepwise development of biokinetic model: ASM 1
  • 1.4 ASM3
  • 1.5 The metabolic model
  • 1.6 Other developments on metabolic modelling
  • 1.7 Activated sludge model development history
  • 1.8 Simulator environments
  • 1.9 Introduction to general modeling protocols
  • 1.9.1 The inception phase
  • 1.9.2 The initial model construction
  • 1.9.3 Data acquisition and evaluation
  • 1.9.4 The model simulation and calibration phase
  • 1.9.5 The model retrofit and validation
  • 1.9.6 The operational plant assessment
  • 1.9.7 The model scenarios
  • 1.10 The STOWA protocol
  • 1.11 Influent characterization guidelines
  • 1.12 Model calibration
  • 1.13 The stepwise data approach to data acquisition
  • 1.14 Measurements planning
  • 1.15 Standards for project presentations
  • 1.16 Errors and inconsistent information
  • 1.17 Model accuracy
  • 1.18 Modeling and modern wastewater management
  • 1.19 Conclusions
  • References
  • Nomenclature
  • Annex 1.1 Combined ASM2 and TUDP model
  • Chapter 2: WWTP Holten, the Netherlands: Model development and full-scale testing
  • 2.1 Introduction
  • 2.2 Model kinetics and stoichiometry
  • 2.2 Process description of WWTP Holten
  • 2.3 Sensitivity analysis
  • 2.3.1 Sludge production
  • 2.3.2 Concentrations
  • 2.3.3 Set-up of hydraulic model
  • 2.4 Calibration and validation
  • 2.4.1 Performance
  • 2.4.2 Calibration
  • 2.4.3 Validation
  • 2.5 Discussion
  • 2.6 Conclusions
  • Acknowledgements
  • References.
  • Chapter 3: WWTP Haarlem Waarderpolder, the Netherlands: Model Evaluation of a full-scale bio-P side-stream process
  • 3.1 Introduction
  • 3.2 Materials and methods
  • 3.2.1 Configuration of WWTP Haarlem Waarderpolder
  • 3.2.1.1 Conventional anoxic-aerobic activated sludge treatment
  • 3.2.1.2 Phosphorus selection and precipitation line
  • 3.2.1.3 Sludge treatment line
  • 3.2.2 Influent characterization
  • 3.2.3 Batch experiments
  • 3.2.3.1 Anaerobic phosphorus release
  • 3.2.3.2 Aerobic phosphorus uptake
  • 3.2.3.3 Anoxic phosphorus uptake
  • 3.2.3.4 Fraction of denitrifying activity of PAO
  • 3.2.3.5 Nitrification
  • 3.2.3.6 Denitrification
  • 3.2.3.7 Endogenous phosphorus release
  • 3.2.4 Sampling program and analytical methods
  • 3.2.5 Modeling tools
  • 3.2.6 Modeling strategy
  • 3.3 Results
  • 3.3.1 Sampling program
  • 3.3.2 Influent and sludge characterization
  • 3.3.3 Hydraulic set-up of the plant model
  • 3.3.4 Model calibration
  • 3.3.4.1 Calibration procedure
  • 3.3.5 Model evaluation
  • 3.3.5.1 Maximal anaerobic phosphate release
  • 3.3.5.2 Aerobic and anoxic phosphate uptake
  • 3.3.5.3 Nitrification
  • 3.3.5.4 Denitrification
  • 3.3.5.5 Endogenous phosphorus release
  • 3.3.6 Alternative EBPR process configurations
  • 3.3.6.1 Alternatives 1a and 1b: A/O system configuration
  • 3.3.6.2 Alternatives 2a and 2b: modified UCT system configuration
  • 3.3.6.3 Alternative 3a and 3b: BCFS system configuration
  • 3.4 Discussion
  • 3.4.1 Influent characterization
  • 3.4.2 Model calibration
  • 3.4.3 Operational aspects
  • 3.4.4 Practical aspects
  • 3.5 Conclusions
  • Acknowledgements
  • References
  • Annex 3.1: Influent characterization procedure according to Dutch guidelines (STOWA, 1996)
  • Annex 3.2: Results of the sampling program and data collected by the plant staff (April 1997).
  • Annex 3.3: Process configurations schemes of the WWTP Haarlem Waarderpolder
  • Chapter 4: WWTP Katwoude, the Netherlands: Development of wastewater treatment data verification techniques
  • 4.1 Introduction
  • 4.2 WWTP Katwoude
  • 4.2.1 Process description
  • 4.2.2 Measurements
  • 4.2.3 The process model
  • 4.2.4 Introducing Macrobal
  • 4.3 Error detection and data reconciliation
  • 4.3.1 Estimation of the SRT
  • 4.3.2 Balancing operational data
  • 4.4 Model calibration and simulation
  • 4.4.1 Fitting the sludge production
  • 4.4.2 Calibrating nitrification, denitrification and EBPR
  • 4.5. Discussion
  • 4.5.1 Balancing conserved compounds
  • 4.5.2 Calibrating EBPR
  • 4.5.3 Calibrating N fractions
  • 4.6 Conclusions
  • References
  • Chapter 5: WWTP Hardenberg, the Netherlands: Modelling full-scale start-up of the BCFS® process
  • Part 1: Modelling regular operation of WWTP Hardenberg
  • 5.1 Introduction
  • 5.2 Materials and methods
  • 5.2.1 WWTP Hardenberg
  • 5.2.2 Measurements
  • 5.2.3 The WWTP Hardenberg model
  • 5.2.4 Model adjustments
  • 5.2.5 Influent characterisation
  • 5.3 Data evaluation
  • 5.3.1 Initial simulation
  • 5.3.2 Evaluation of the SRT
  • 5.3.3 Evaluation of recycle flow A
  • 5.3.4 Evaluation of recycle flow B
  • 5.4 Model calibration
  • 5.4.1 Simultaneous nitrification and denitrification
  • 5.5 Discussion
  • 5.5.1 Fitting models on faulty data
  • 5.5.2 Sensitivity analysis
  • 5.5.3 A heuristic calibration approach
  • 5.5.4 The calibration procedure
  • 5.5.5 Balancing solids
  • 5.5.6 Calibrating KO
  • 5.5.7 The COD and N balance
  • 5.6 Conclusions on the modelling of regular plant operation
  • Part 2: Modelling start-up of WWTP Hardenberg
  • 5.7 Introduction
  • 5.8 Materials and methods
  • 5.8.1 The start-up procedure
  • 5.8.2 Recording the original WWTP
  • 5.8.3 Measuring the start-up
  • 5.8.4 Models.
  • 5.8.4.1 Model of the old WWTP
  • 5.8.4.2 Model of the new WWTP
  • 5.8.5 Solids retention in the anaerobic reactor
  • 5.8.6 Modelling temperature
  • 5.9 Model calibration and simulation
  • 5.9.1 Data evaluation
  • 5.9.2 Calibrating the model of the old WWTP
  • 5.9.3 Calibrating the start-up
  • 5.10 Evaluation of the TUDP model
  • 5.10.1 Sensitivity analysis
  • 5.10.2 Calibrating EBPR
  • 5.11 Discussion
  • 5.11.1 Influent characterisation
  • 5.11.2 Simulation of the old WWTP
  • 5.11.3 Modelling chemical P precipitation
  • 5.11.4 Modelling anaerobic solids retention time
  • 5.11.5 Dynamic evaluation of operational conditions
  • 5.11.6 Interpretation of the start-up dynamics
  • 5.11.6.1 Glycogen kinetics
  • 5.11.6.2 Modelling a maximum glycogen fraction
  • 5.11.6.3 Model sensitivity towards the maximum glycogen fraction
  • 5.11.6.4 Temperature effects
  • 5.12 Conclusions on start-up simulations
  • References
  • Chapter 6: WWTP Shell Godorf, Germany Optimization of oil refinery wastewater treatment
  • 6.1 Introduction
  • 6.2 Materials and Methods
  • 6.2.1 Wastewater treatment plant configuration
  • 6.2.2 Influent characterization
  • 6.2.3 Sampling campaign
  • 6.2.4 Experimental program
  • 6.3 Modeling tools
  • 6.4 Calibration strategy
  • 6.5 Results
  • 6.5.1 Influent characterization
  • 6.5.2 Sampling campaign
  • 6.6 Experimental campaign
  • 6.5.1 Nitrification test
  • 6.5.2 Denitrification test
  • 6.5.3 Hydraulic set-up of the plant model
  • 6.5.4 Model calibration and simulation
  • 6.5.5 Model validation
  • 6.5.6 Performance evaluation
  • 6.6 Process optimization
  • 6.6.1 Scenario 1: Implementation of an idle phase
  • 6.6.2 Scenario 2: Transforming B3 basin from aerobic to anoxic
  • 6.6.3 Scenario 3: Combined pre- and post-denitrification with external methanol addition
  • 6.7 Discussion
  • 6.8 Conclusions
  • References.
  • Chapter 7: WWTP Walcheren, the Netherlands: Model-based evaluation of a novel upgrading concept for N removal
  • 7.1 Introduction
  • 7.2 Materials and methods
  • 7.2.1 Walcheren wastewater treatment plant
  • 7.2.2 Wastewater characterization
  • 7.2.3 The BABE reactor
  • 7.3 Results and discussion
  • 7.3.1 Increasing the DO in the aeration tanks
  • 7.3.2 Upgrading of the WWTP by the BABE concept
  • 7.3.3 Modification of the WWTP Walcheren to meet the effluent requirements
  • 7.3.4 Comparison of the upgrading strategies for the Walcheren WWTP
  • 7.3.5 Use of modelling
  • 7.4 Conclusions
  • Acknowledgements
  • References
  • Chapter 8: WWTP Anjana, India: Coupling models for integrated and plant wide modelling
  • 8.1 Introduction
  • 8.2 Materials and methods
  • 8.2.1 WWTP Anjana
  • 8.2.2 Sampling program and analytical methods
  • 8.2.3 Wastewater and sludge characterization
  • 8.2.4 Model building and ASM3-ADM1 coupling
  • 8.2.5 ADM1-ASM3 coupling
  • 8.2.6 Modelling strategy
  • 8.2.7 Model calibration and validation
  • 8.2.8 Scenarios evaluation for process upgrade and optimization
  • 8.3 Results
  • 8.3.1 Model calibration
  • 8.3.2 Model validation
  • 8.3.3 Model-based evaluation for process optimization and upgrade
  • 8.3.4 Modelling the return of the filtrate stream
  • 8.4 Discussion
  • 8.4.1 Influent and sludge characterization
  • 8.4.2 Model calibration
  • 8.4.3 Model coupling
  • 8.4.4 Plant performance assessment for current and future scenarios
  • 8.5 Conclusions
  • Acknowledgements
  • References
  • Chapter 9: WWTP Ecco, the Netherlands: Modelling nitrogen removal from tannery wastewater
  • 9.1 Introduction
  • 9.2 Materials and methods
  • 9.2.1 Plant and process description
  • 9.2 Measurements
  • 9.3 Process model (selection and adjustment)
  • 9.4 Influent measurement and characterization
  • 9.5 Balancing operational data and measurements.

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