Process Modelling and Model Analysis
Cameron, Ian T.; Hangos, Katalin
In stock
Regular price
55.250 KD
inc. VAT
Couldn't load pickup availability
Table of contents
- Process Modelling and Model Analysisiii
- Copyright Pageiv
- Contentsvii
- INTRODUCTIONxiii
- PART I: FUNDAMENTAL PRINCIPLES AND PROCESS MODEL DEVELOPMENT1
- Chapter 1. The Role of Models in Process Systems Engineering3
- 1.1. The Idea of a Model4
- 1.2. Model Application Areas in PSE7
- 1.3. Model Classification10
- 1.4. Model Characteristics12
- 1.5. A Brief Historical Review of Modelling in PSE13
- 1.6. Summary17
- 1.7. Review Questions17
- 1.8. Application Exercises17
- Chapter 2. A Systematic Approach to Model Building19
- 2.1. The Process System and the Modelling Goal20
- 2.2. Mathematical Models22
- 2.3. A Systematic Modelling Procedure24
- 2.4. Ingredients of Process Models32
- 2.5. Summary36
- 2.6. Review Questions36
- 2.7. Application Exercises37
- Chapter 3. Conservation Principles41
- 3.1. Thermodynamic Principles of Process Systems42
- 3.2. Principle of Conservation51
- 3.3. Balance Volumes in Process System Applications58
- 3.4. Summary61
- 3.5. Review Questions62
- 3.6. Application Exercises62
- Chapter 4. Constitutive Relations65
- 4.1. Transfer Rate Equations65
- 4.2. Reaction Kinetics70
- 4.3. Thermodynamical Relations72
- 4.4. Balance Volume Relations75
- 4.5. Equipment and Control Relations75
- 4.6. Summary79
- 4.7. Review Questions79
- 4.8. Application Exercises80
- Chapter 5. Dynamic Models„Lumped Parameter Systems83
- 5.1. Characterizing Models and Model Equation Sets83
- 5.2. Lumped Parameter Models„Initial Value Problems (IVPs)84
- 5.3. Conservation Balances for Mass86
- 5.4. Conservation Balances for Energy89
- 5.5. Conservation Balances for Momentum95
- 5.6. The Set of Conservation Balances for Lumped Systems98
- 5.7. Conservation Balances in Intensive Variable Form99
- 5.8. Dimensionless Variables101
- 5.9. Normalization of Balance Equations102
- 5.10. Steady-State Lumped Parameter Systems103
- 5.11. Analysis of Lumped Parameter Models104
- 5.12. Stability of the Mathematical Problem114
- 5.13. Summary117
- 5.14. Review Questions118
- 5.15. Application Exercises118
- Chapter 6. Solution Strategies for Lumped Parameter Models123
- 6.1. Process Engineering Example Problems124
- 6.2. Ordinary Differential Equations125
- 6.3. Basic Concepts in Numerical Methods126
- 6.4. Local Truncation Error and Stability129
- 6.5. Stability of the Numerical Method133
- 6.6. Key Numerical Methods137
- 6.7. Differential-Algebraic Equation Solution Techniques149
- 6.8. Summary155
- 6.9. Review Questions156
- 6.10. Application Exercises156
- Chapter 7. Dynamic Models„Distributed Parameter Systems163
- 7.1. Development of DPS Models163
- 7.2. Examples of Distributed Parameter Modelling174
- 7.3. Classification of DPS Models182
- 7.4. Lumped Parameter Models for Representing DPSs185
- 7.5. Summary186
- 7.6. Review Questions187
- 7.7. Application Exercises187
- Chapter 8. Solution Strategies for Distributed Parameter Models191
- 8.1. Areas of Interest191
- 8.2. Finite Difference Methods192
- 8.3. Method of Lines201
- 8.4. Method of Weighted Residuals203
- 8.5. Orthogonal Collocation206
- 8.6. Orthogonal Collocation for Partial Differential Equations216
- 8.7. Summary218
- 8.8. Review Questions218
- 8.9. Application Exercises219
- Chapter 9. Process Model Hierarchies223
- 9.1. Hierarchy Driven by the Level of Detail225
- 9.2. Hierarchy Driven by Characteristic Sizes233
- 9.3. Hierarchy Driven by Characteristic Times239
- 9.4. Summary245
- 9.5. Further Reading246
- 9.6. Review Questions246
- 9.7. Application Exercises246
- PART II: ADVANCED PROCESS MODELLING AND MODEL ANALYSIS249
- Chapter 10. Basic Tools for Process Model Analysis251
- 10.1. Problem Statements and Solutions251
- 10.2. Basic Notions in Systems and Control Theory253
- 10.3. Lumped Dynamic Models as Dynamic System Models264
- 10.4. State Space Models and Model Linearization269
- 10.5. Structural Graphs of Lumped Dynamic Models277
- 10.6. Summary281
- 10.7. Review Questions281
- 10.8. Application Exercises282
- Chapter 11. Data Acquisition and Analysis285
- 11.1. Sampling of Continuous Time Dynamic Models286
- 11.2. Data Screening289
- 11.3. Experiment Design for Parameter Estimation of Static Models294
- 11.4. Experiment Design for Parameter Estimation of Dynamic Models295
- 11.5. Summary296
- 11.6. Further Reading296
- 11.7. Review Questions296
- 11.8. Application Exercises297
- Chapter 12. Statistical Model Calibration and Validation299
- 12.1. Grey-Box Models and Model Calibration300
- 12.2. Model Parameter and Structure Estimation302
- 12.3. Model Parameter Estimation for Static Models314
- 12.4. Identification: Model Parameter and Structure Estimation of Dynamic Models318
- 12.5. CSTR: A Case Study of Model Parameter Estimation323
- 12.6. Statistical Model Validation via Parameter Estimation330
- 12.7. Summary331
- 12.8. Further Reading331
- 12.9. Review Questions331
- 12.10. Application Exercises332
- Chapter 13. Analysis of Dynamic Process Models335
- 13.1. Analysis of Basic Dynamical Properties336
- 13.2. Analysis of Structural Dynamical Properties341
- 13.3. Model Simplification and Reduction350
- 13.4. Summary359
- 13.5. Further Reading359
- 13.6. Review Questions360
- 13.7. Application Exercises361
- Chapter 14. Process Modelling for Control and Diagnostic Purposes363
- 14.1. Model-Based Process Control364
- 14.2. Model-Based Process Diagnosis370
- 14.3. Qualitative, Logical and AI Models372
- 14.4. Summary384
- 14.5. Further Reading384
- 14.6. Review Questions385
- 14.7. Application Exercises385
- Chapter 15. Modelling Discrete Event Systems387
- 15.1. Characteristics and Issues388
- 15.2. Approaches to Model Representation388
- 15.3. Solution of Discrete Event Dynamic System Models404
- 15.4. Analysis of Discrete Event Systems408
- 15.5. Summary410
- 15.6. Further Reading410
- 15.7. Review Questions412
- 15.8. Application Exercises412
- Chapter 16. Modelling Hybrid Systems415
- 16.1. Hybrid Systems Basics415
- 16.2. Approaches to Model Representation420
- 16.3. Analysis of Hybrid Systems430
- 16.4. Solution of Hybrid System Models431
- 16.5. Summary434
- 16.6. Further Reading434
- 16.7. Review Questions435
- 16.8. Application Exercises436
- Chapter 17. Modelling Applications in Process Systems437
- 17.1. Copper Converter Dynamics438
- 17.2. Destruction of Phenol in Wastewater by Photochemical Reaction445
- 17.3. Prefermenter System for Wastewater Treatment451
- 17.4. Granulation Circuit Modelling456
- 17.5. Industrial Depropanizer using Structural Packing462
- 17.6. Summary469
- Chapter 18. Computer Aided Process Modelling471
- 18.1. Introduction472
- 18.2. Industrial Demands on Computer Aided Modelling Tools472
- 18.3. Basic Issues in CAPM Tools474
- 18.4. Approaches to CAPM Tool Development483
- 18.5. Summary492
- Chapter 19. Empirical Model Building493
- 19.1. Introduction493
- 19.2. The Modelling Procedure Revisited494
- 19.3. Black-Box Modelling497
- 19.4. Traps and Pitfalls in Empirical Model Building511
- 19.5. Summary515
- 19.6. Further Reading515
- 19.7. Review Questions516
- 19.8. Application Exercises516
- Appendix: Basic Mathematic Tools517
- A. 1. Random Variables and Their Properties517
- A.2. Hypothesis Testing521
- A.3. Vector and Signal Norms522
- A.4. Matrix and Operator Norms523
- A.5. Graphs524
- BIBLIOGRAPHY527
- Index535
Book details
- Vendor Elsevier S & T
- SKU 9780121569310
- ISBN-13 9780080514925
- Author Cameron, Ian T.; Hangos, Katalin
- Category Technology & Engineering
- Subject Chemical & Biochemical
Do you have questions about this book?
This book describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the interaction between various aspects of the process. For example, process engineers would apply models to perform feasibility analyses of novel process designs, assess environmental impact, and detect potential hazards or accidents.
To manage complex systems and enable process design, the behavior of systems is reduced to simple mathematical forms. This book provides a systematic approach to the mathematical development of process models and explains how to analyze those models. Additionally, there is a comprehensive bibliography for further reading, a question and answer section, and an accompanying Web site developed by the authors with additional data and exercises.
* Introduces a structured modeling methodology emphasizing the importance of the modeling goal and including key steps such as model verification, calibration, and validation.
* Focuses on novel and advanced modeling techniques such as discrete, hybrid, hierarchical, and empirical modeling
* Illustrates the notions, tools, and techniques of process modeling with examples and advances applications
To manage complex systems and enable process design, the behavior of systems is reduced to simple mathematical forms. This book provides a systematic approach to the mathematical development of process models and explains how to analyze those models. Additionally, there is a comprehensive bibliography for further reading, a question and answer section, and an accompanying Web site developed by the authors with additional data and exercises.
* Introduces a structured modeling methodology emphasizing the importance of the modeling goal and including key steps such as model verification, calibration, and validation.
* Focuses on novel and advanced modeling techniques such as discrete, hybrid, hierarchical, and empirical modeling
* Illustrates the notions, tools, and techniques of process modeling with examples and advances applications
Instant delivery by email
Your access email arrives within minutes of checkout, with a sign-in link for each book — no shipping, no waiting.
Read on any device
Books open in VitalSource Bookshelf on your phone, tablet, or computer, online or offline. Your library is always available at aafaq.vitalsource.com — just log in with the email you used at checkout.
Lost the email?
Resend it to yourself in seconds from My eBook orders, or email cs@aafaqeducation.com and we'll help.