Details

Subject(s)

• Sewage disposal plants—Simulation methods [Browse]
• Sewage—Simulation methods—Purification [Browse]
• Water treatment plants—Simulation methods [Browse]
• Water—Purification—Simulation methods [Browse]

Content provider

• Water Environment Federation Wastewater Treatment Process Modeling Task Force [Browse]

Series

WEF manual of practice Wastewater treatment process modeling

Summary note

The Most Complete, Up-to-Date Guide to Process Modeling Methods and Protocols Fully revised to cover the latest advances in the field, Wastewater Treatment Process Modeling, Second Edition, explains general modeling concepts and terminology and offers practical details on how to use process models for the design and operation of small, medium, and large water resource recovery facilities. This Water Environment Federation manual describes each step of the modeling process, including the fundamental math required, overviews of existing models and when to use them, modeling protocols, and how to interpret data. The detailed information in this authoritative volume helps to ensure that process models are developed, used, and documented correctly. Coverage includes: History of process modelingModeling fundamentalsUnit process model descriptionsProcess modeling toolsDedicated experiments and toolsOverview of available modeling and simulation protocolsProject definitionBuilding a facility modelUsing models for design, optimization, and control.

Notes

Bibliographic Level Mode of Issuance: Monograph

Source of description

Description based on publisher supplied metadata and other sources.

Language note

English

Contents

• Cover
• Title Page
• Copyright Page
• About WEF
• Contents
• List of Figures
• List of Tables
• Preface
• Chapter 1: History of Process Modeling
• 1.0. Introdution
• 2.0. Mathematical Expressions of Processes
• 2.1. Bacterial Growth Rate and Substrate Concentration
• 2.2. Inhibition of Bacterial Growth
• 2.3. Temperature Effect on Bacterial Growth
• 2.4. Decay of Bacterial Cells
• 3.0. Wastewater Treatment Processes
• 3.1. Aerobic Processes
• 3.2. Anaerobic Processes
• 4.0. Settling and Thickening of Activated Sludge
• 5.0. Modern Applications of Models
• 5.1. Steady-State Conditions
• 5.2. Dynamic Conditions
• 5.3. Development of Commercial Simulators
• 6.0. References
• 7.0. Suggested Readings
• Chapter 2: Modeling Fundamentals
• 2.0. Models Versus Reality
• 3.0. Model Representation of Wastewater Treatment Processes
• 3.1. Processes
• 3.2. State and Combined Variables
• 3.3. Kinetic Expressions
• 3.4. Stoichiometry
• 3.5. Gujer Matrices
• 4.0. Implementation of Models in Simulation Tools
• 4.1. Simulator Versus Model
• 4.2. Numerical Solvers
• 4.3. Static and Dynamic Modeling
• 5.0. Summary
• Chapter 3: Unit Process Model Descriptions
• 1.0. Introduction
• 2.0. Activated Sludge (Suspended Growth) Process Models
• 2.1. Activated Sludge Model No. 1
• 2.2. Activated Sludge Model No. 2
• 2.3. Activated Sludge Model No. 3
• 2.4. Dold's General Model
• 2.5. New General Model
• 2.6. Mantis2 Model
• 2.7. Metabolic Models
• 3.0. Biofilm Models
• 3.1. Motivation for Modeling Biofilms
• 3.2. What Are Biofilms?
• 3.3. Why Model Biofilms?
• 3.4. Existing Biofilm Models
• 3.5. Graphical Biofilm Models
• 3.6. Empirical and Semi-Empirical Models
• 3.7. Mathematical Biofilm Models
• 3.8. Mass Balances-Particulate and Dissolved Components in the Bulk Phase.
• 3.9. Pseudo-Analytical Biofilm Models
• 3.10. Analytical Biofilm Models
• 3.11. Numerical One-Dimensional Biofilm Models
• 3.12. Biofilm Detachment Models
• 3.13. Using Mechanistic Biofilm Models to Describe a Biofilm Reactor
• 4.0. Water Chemistry Models
• 4.1. Alkalinity
• 4.2. pH
• 4.3. Chemical Precipitation
• 5.0. Solid-Liquid Separation Models
• 5.1. Point Settler (Simple Mass Balance) Model
• 5.2. Simple, Ideal Clarifiers
• 5.3. One-Dimensional Flux Model
• 5.4. Reactive Settler Models
• 5.5. Computational Fluid Dynamic Models (Two-Dimensional and Three-Dimensional)
• 6.0. Anaerobic Process Models
• 6.1. Anaerobic Digester Model No. 1
• 6.2. Dold's General Model-Anaerobic Digestion
• 6.3. Upflow Anaerobic Sludge Blanket Reactors' Modeling
• 7.0. Models for Other Unit Processes
• 7.1. Gas-Transfer Modeling
• 7.2. Membrane Bioreactor Modeling
• 7.3. Sidestream Treatment Process Modeling
• 7.4. Filtration
• 7.5. Disinfection
• 7.6. Thickening/Dewatering
• 7.7. Pretreatment-Grit Removal, Screening, and so on
• 7.8. Greenhouse Gas Emissions
• 8.0. References
• 9.0. Suggested Readings
• Chapter 4: Process Modeling Tools
• 1.0. Inroduction
• 2.0. Spreadsheet-Based Tools
• 2.1. Scope
• 2.2. Considerations
• 3.0. Dedicated Wastewater Treatment Simulators
• 3.1. Introduction
• 3.2. Design Software
• 3.3. Dynamic Simulators
• 3.4. Simulator Companies
• 3.5. Considerations
• 4.0. General-Purpose Simulators
• 4.1. Introduction
• 4.2. Considerations
• 5.0. References
• Chapter 5: Dedicated Experiments and Tools
• 2.0. Wastewater Characterization Methods
• 3.0. Biokinetic Characterization
• 3.1. Nitrification Rate
• 3.2. Denitrification Rate
• 4.0. Hydraulic Characterization
• 4.1. Empirical Equation Approaches
• 4.2. Tracer Testing
• 5.0. Aeration Testing Under Process Conditions.
• 5.1. Offgas Method
• 5.2. Hydrogen Peroxide Method
• 6.0. Sludge Settling Characterization
• 6.1. Full-Scale Tests
• 6.2. Laboratory Testing
• 6.3. Liquid Velocity Measurements in Clarifiers
• 6.4. Primary Clarifiers
• 7.0. Model Analysis Tools
• 7.1. Goodness-of-Fit
• 7.2. Parameter Estimation
• 7.3. Sensitivity Analysis
• 7.4. Uncertainty Analysis
• Chapter 6: Overview of Available Modeling and Simulation Protocols
• 2.0. Available Protocols
• 2.1. Protocols Dedicated to Wastewater Treatment Modeling
• 2.2. Protocols from Related Fields
• 2.3. Comparison of Existing Protocols
• 2.4. Toward a Unified Protocol
• 3.0. Good Modeling Practice Unified Protocol
• 3.1. Outline of the GMP Unified Protocol
• 3.2. Protocol Steps
• 4.0. Benefits and Potential Risks of Modeling and Simulation Protocols
• 4.2. Benefits of Using Standardized Modeling and Simulation Protocols
• 4.3. Potential Risks of Standardization
• 5.0. Link between Good Modeling Practice Unified Protocol and Manual of Practice 31
• Chapter 7: Project Definition
• 2.0. Defining Project Purpose
• 2.1. Planning
• 2.2. Design
• 2.3. Operations
• 2.4. Training
• 2.5. Research
• 3.0. Scoping a Modeling Project
• 3.1. Define Project Objectives
• 3.2. Define Project Boundaries
• 3.3. Define Project Scope
• 3.4. Understanding Uncertainties
• 3.5. Specify Project Requirements
• 3.6. Develop a Schedule and Budget
• 3.7. Agree on Model Scope
• 4.0. Expertise and Training for Modelers
• Chapter 8: Building a Facility Model
• 2.0. Data Collection
• 2.1. Historical Facility Data
• 2.2. Online Data
• 2.3. Special Sampling Data
• 2.4. Cost of Sampling versus Benefit
• 2.5. Example Sampling Programs.
• 3.0. Data Reconciliation
• 3.1. Fundamental Checks
• 3.2. Empirical Checks Based on Engineering Knowledge
• 3.3. Historical Checks
• 3.4. Identification and Repair
• 4.0. Facility Model Setup
• 4.1. Influent Model
• 4.2. Physical Configuration
• 4.3. Selection of Submodels
• 4.4. Operational Parameters
• 5.0. Calibration and Validation
• 5.1. Target Variables
• 5.2. Stop Criteria
• 5.3. Model Maintenance
• 6.0. Quality Assurance/Quality Control
• 7.0. Examples
• 7.1. Basic Planning-Level Design Model Development
• 7.2. Detailed Design Model Development
• 7.3. Operations Model Development
• Chapter 9: Using Models for Design, Optimization, and Control
• 2.0. Model Scenarios
• 2.1. Whole-Facility Modeling
• 2.2. Steady-State Modeling
• 2.3. Dynamic Modeling
• 2.4. Scenario Development
• 2.5. Sensitivity Analysis
• 2.6. Dealing with Uncertainty
• 2.7. Benchmarking Results
• 3.0. Application of Models
• 3.1. Preliminary Treatment
• 3.2. Primary Clarification
• 3.3. Activated Sludge Systems
• 3.4. Fixed-Film and Hybrid Processes
• 3.5. Solids Handling and Recycle Stream Simulation
• 3.6. Sidestream Treatment and Bioaugmentation
• 3.7. Tertiary Treatment
• 3.8. Incorporating Regulatory Requirements
• 4.0. Control Strategy Setup
• 4.1. Controller Functions Available in Current Model Packages
• 4.2. Locating Analytical Instruments
• 4.3. Airflow Control Rates
• 4.4. Supplemental Carbon Feed
• 4.5. Sidestream Return Control
• 4.6. Chemical Dosing
• 4.7. Feed-Forward Control
• 5 0. Using Modeling Results
• 5.1. Interpreting Modeling Results
• 5.2. Communicating Modeling Results/Limitations
• 5.3. Quality Assurance/Quality Control
• 6.0. Reporting and Documentation
• 6.1. Report Preparation
• 6.2. Documentation for Future Use
• 7.0. Model Life Cycles.
• 7.1. Maintaining and Refining the Model over Time
• 7.2. Issues with Ownership
• 7.3. Documentation for Future Use
• 7.4. Facility Data Management
• 8.0. Common Pitfalls
• 8.1. No Safety Factors
• 8.2. Garbage in Equals Garbage Out
• 8.3. Adjusting the Appropriate Parameters
• 8.4. What Simulators Cannot Tell You
• 8.5. Considering Minimum Conditions
• 8.6. False Precision in Control Capability
• 8.7. Defining Worst-Case Conditions as Highest Loading
• 8.8. Focus on Configurations that Conform to Modeling Capabilities
• 9.0. References
• 10.0. Suggested Readings
• Appendix A: A Systematic Approach for Model Verification-Application on Seven Published Activated Sludge Models
• Appendix B: Pseudo-Analytical Biofilm Model
• Appendix C: Analytical Biofilm Model
• Appendix D: Numerical Biofilm Model
• Appendix E: Project Modeling Scope of Services
• Appendix F: Glossary
• Index.

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OCLC

1024251137

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