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Product and Process Modelling
A Case Study Approach
- 1st Edition - July 13, 2011
- Authors: Ian T. Cameron, Rafiqul Gani
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 4 - 6 3 8 4 6 - 5
- Hardback ISBN:9 7 8 - 0 - 4 4 4 - 5 3 1 6 1 - 2
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 9 3 2 3 1 - 6
This book covers the area of product and process modelling via a case study approach. It addresses a wide range of modelling applications with emphasis on modelling methodology an… Read more
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Request a sales quoteThis book covers the area of product and process modelling via a case study approach. It addresses a wide range of modelling applications with emphasis on modelling methodology and the subsequent in-depth analysis of mathematical models to gain insight via structural aspects of the models. These approaches are put into the context of life cycle modelling, where multiscale and multiform modelling is increasingly prevalent in the 21st century. The book commences with a discussion of modern product and process modelling theory and practice followed by a series of case studies drawn from a variety of process industries.
The book builds on the extensive modelling experience of the authors, who have developed models for both research and industrial purposes. It complements existing books by the authors in the modelling area. Those areas include the traditional petroleum and petrochemical industries to biotechnology applications, food, polymer and human health application areas. The book highlights to important nature of modern product and process modelling in the decision making processes across the life cycle. As such it provides an important resource for students, researchers and industrial practitioners.
Ian Cameron is Professor in Chemical Engineering at the University of Queensland with teaching, research, and consulting activities in process systems engineering. He has a particular interest in process modelling, dynamic simulation, and the application of functional systems perspectives to risk management, having extensive industrial experience in these areas. He continues to work closely with industry and government on systems approaches to process and risk management issues. He received his BE from the University of New South Wales (Australia) and his PhD from imperial College London. He is a Fellow of IChemE.
Rafiqul Gani is a Professor of Systems Design at the Department of Chemical and Biochemical Engineering, Technical University of Denmark, and the director of the Computer Aided Product-Process Engineering Center (CAPEC). His research interests include the development of computer-aided methods and tools for modelling, property estimation and process-product synthesis and design. He received his BSc from Bangladesh University of Engineering and Technology in 1975, and his MSc in 1976 and PhD in 1980 from Imperial College London. He is the editor-in-chief of Computers and Chemical Engineering journal and Fellow of IChemE as well as AIChE.
- Product and process modelling; a wide range of case studies are covered
- Structural analysis of model systems; insights into structure and solvability
- Analysis of future developments; potential directions and significant research and development problems to be addressed
Researchers in Process industries, practitioners in Chemical, Product and Process Engineering and academic students
Contributors
Preface
Part-I
Chapter 1. Modelling: Nature and Use
1.1 Modelling Fundamentals
1.2 Model Use and Decision Making
1.3 Multiscale, Multiform Nature of Product-Process Modelling
1.4 Summary
1.5 Glossary
References
Chapter 2. Modelling Practice
2.1 Modelling Methodologies
2.2 Summary
References
Chapter 3. Computer-Aided Modelling Methods and Tools
3.1 Mathematical Models
3.2 Methods-tools for Model Representation
3.3 Model Generation
3.4 Modelling Toolbox
3.5 Summary
References
Appendix: Application of ModDev
Part-II
Chapter 4. Overview of the Case Studies
Chapter 5. Constitutive Models
5.1 Constitutive Models – Physical Properties
5.2 Property Model Parameter Estimation
5.3 Constitutive Model Applications
References
Chapter 6. Steady-State Process Modelling
6.1 Process Descriptions
6.2 Model Description
References
Chapter 7. Models for Dynamic Applications
7.1 Complex Unit Operations: Blending Tank
7.2 Complex Integrated Operations: Direct Methanol Fuel Cell
7.3 Multiscale Fluidised Bed Reactor
7.4 Dynamic Chemical Reactor
7.5 Polymerisation Reactor
References
Chapter 8. Distributed Parameter Modelling Applications
8.1 Oil Shale Pre-Heat and Cooling Unit
8.2 Modelling the Dynamic Performance of a Complex Granulation System for MAP–DAP Production
8.3 Short-Path Evaporator Model
8.4 Acknowledgements
References
Chapter 9. Tennessee Eastman Plant-wide Industrial Process Challenge Problem
9.1 Process Description
9.2 Simplified Model
9.3 Full (Process) Model
References
Chapter 10. Modelling of Batch Process Operations
10.1 Modelling of a Batch Crystallisation Process
10.2 Modelling Batch Distillation Operations
Nomenclature (for section 10.1)
Appendix
References
Chapter 11. Parameter Estimation
11.1 Modelling of Simple Reaction Kinetics
11.2 Kinetic Modelling – Parameter Estimation (1)
11.3 Kinetic Modelling – Parameter Estimation (2)
11.4 Kinetic Modelling – Parameter Estimation (3)
11.5 Kinetic Modelling – Parameter Estimation with Maximum Likelihood Principle
11.6 Parameter Regression - Dynamic Optimisation
References
Chapter 12. Modelling for Bio-,Agro- and Pharma-Applications
12.1 Microcapsule-Controlled Release of Active Ingredients
12.2 Fermentation Process Modelling
12.3 Milk Pasteurisation Process Modelling
12.4 Milling Process Model
12.5 Granulation Process Model
12.6 Pharmaceutical Tablet Pressing Process Model
References
Part-III
Chapter 13. Computer Aided Modelling – Opportunities and Challenges
References
Appendix-1
A1-5: Models from Chapter 5
A1-6: Models from Chapter 6
A1-7: Models from Chapter 7
A1-8: Models from Chapter 8
A1-9: Models from Chapter 9
A1-10: Models from Chapter 10
A1.11 Parameter Estimation
Appendix-2. Model Library
References
Index
Acronyms
Product and Process Modelling: A Case Study Approach
- No. of pages: 548
- Language: English
- Edition: 1
- Published: July 13, 2011
- Imprint: Elsevier
- Paperback ISBN: 9780444638465
- Hardback ISBN: 9780444531612
- eBook ISBN: 9780080932316
IC
Ian T. Cameron
Ian Cameron is Professor in Chemical Engineering at the University of Queensland with teaching, research, and consulting activities in process systems engineering. He has a particular interest in process modelling, dynamic simulation, and the application of functional systems perspectives to risk management, having extensive industrial experience in these areas. He continues to work closely with industry and government on systems approaches to process and risk management issues. He received his BE from the University of New South Wales (Australia) and his PhD from imperial College London. He is a Fellow of IChemE.
Affiliations and expertise
School of Chemical Engineering, University of Queensland, Brisbane, AustraliaRG
Rafiqul Gani
Rafiqul Gani is a Professor of Systems Design at the Department of Chemical and Biochemical Engineering, Technical University of Denmark, and the director of the Computer Aided Product-Process Engineering Center (CAPEC). His research interests include the development of computer-aided methods and tools for modelling, property estimation and process-product synthesis and design. He received his BSc from Bangladesh University of Engineering and Technology in 1975, and his MSc in 1976 and PhD in 1980 from Imperial College London. He is the editor-in-chief of Computers and Chemical Engineering journal and Fellow of IChemE as well as AIChE.
Affiliations and expertise
CAPEC, Department of Chemical and Biochemical Engineering, Technical University of Denmark