Process Modelling and Simulation in Chemical, Biochemical and Environmental Engineering

2. Auflage 2026
ISBN: 978-1-032-82862-6
Verlag: Taylor & Francis Ltd

Buch, Englisch, 648 Seiten, Format (B × H): 178 mm x 254 mm

This book explores effective modeling and simulation approaches for solving equations. This book explains the simplification of a complicated process at various levels with the help of a "model sketch." The second edition covers modeling of multi-stage processes, multi-stage, multi-phase systems with thermodynamic processes including reactive distillation. Further, process intensification is added with modeling of electrochemical processes. A chapter on batch processes in filtration, adsorption and batch reactors is included backed by case studies.

- Presents a systematic approach of model development in view of the simulation need

- Discusses modeling techniques to model hydrodynamics, mass and heat transfer, and reactors for single as well as multi-phase/multi-phase system

- Explores diffusion based on Stefan-Maxwell theory including principal component analysis

- Reviews dynamics models covering process dynamics

- Includes enhanced case studies to illustrate simulations including ANN and DWSIM

This book is aimed at senior undergraduate and graduate students in chemical, biochemical and environmental engineering.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Verma, Ashok Kumar

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Verfahrenstechnik, Chemieingenieurwesen
• Geowissenschaften Umweltwissenschaften Umwelttechnik

Inhaltsverzeichnis

1. Introduction to Modelling and Simulation 2. An Overview of Modelling and Simulation 3. Models Based on Simple Laws 4. Models Based on Laws of Conservation 5. Multiphase Systems without Reaction 6. Multiphase Systems with Reaction 7. Multi-Stage/Multi-Phase systems with Thermodynamic Processes 8. Coupled Process and Process Intensification 9. Nature of Dynamic Models 10. Population Balance Models and Discrete-Event Models 11. Artificial Neural Network (ANN) Based Models and Use of AI and ML 12. Model Validation and Sensitivity Analysis 13. Case Studies 14. Simulation of Large Plants

Über Autor(innen)

Ashok Kumar Verma retired as Professor in the Department of Chemical Engineering and Technology at Indian Institute of Technology (Banaras Hindu University) Varanasi. He holds a B.Sc. degree from Allahabad University, a B.E. degree in Chemical Engineering from University of Roorkee (now Indian Institute of Technology, Roorkee), an M.E degree in chemical engineering from Indian Institute of Sciences, Bangalore and a Ph.D. in Technology from Indian Institute of Technology, Kanpur.

Ashok Kumar Verma joined the institute in 1984. He conducted post-doctoral research at Department of Chemical Engineering, University of Illinois, Chicago. His research experience includes modelling of liquid fluidized bed and heat transfer in slurry bubble columns. He has taught courses in modelling and simulation, process engineering, computer aided design, artificial intelligence in chemical engineering, transfer processes, and process control. His current activities include development of virtual lab, based on real time simulation, for chemical engineering courses.  Ashok Kumar Verma has authored or coauthored about ten research papers appearing in a range of chemical engineering journals. He also authored or co-authored numerous papers in national and international proceedings and book titled ‘Process design for Chemical and Environmental Engineering’. He has made presentations at several conferences and seminars and presented invited lectures at several workshops organised at other universities institutions and industries.

Ashok Kumar Verma and his family reside in Varanasi, India.