Table of Contents

1. Modelling: Nature and Use.
2. Modelling Practice.
3. Computer Aided Modelling Tools.
4. Case Studies: Overview.
5. Constitutive Models.
6. Steady State Process Modelling.
7. Models for Dynamic Application.
8. Distributed Parameter Modelling Applications.
9. Tennessee Eastman Plant-wide Industrial Process Challenge Problem.
10. Batch Process Operations.
11. Model Identification (Parameter Estimation).
12. Modelling for Bio, Agro and Pharma Applications.
13. Future Perspectives.
14. Appendix. 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 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.