Process Modelling and Simulation in Chemical, Biochemical and Environmental Engineering
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Product details:
- Edition number 2
- Publisher CRC Press
- Date of Publication 12 February 2026
- ISBN 9781032828626
- Binding Hardback
- No. of pages528 pages
- Size 254x178 mm
- Language English
- Illustrations 143 Illustrations, black & white; 143 Line drawings, black & white; 28 Tables, black & white 700
Categories
Short description:
This book explores effective modeling and simulation approaches for solving equations. The second edition covers modeling of multi-stage processes,multi-phase systems with thermodynamic processes including reactive distillation.
MoreLong description:
This book explores effective modelling and simulation approaches for solving equations. It provides a clear explanation of how to simplify complex processes at various levels with the help of a 'model sketch'. The second edition covers modelling of multi-stage processes and multi-stage, multi-phase systems with thermodynamic processes, including reactive distillation. Additionally, process intensification is introduced with modelling of electrochemical processes. A chapter on batch processes in filtration, adsorption, drying, distillation and batch reactors is included, backed by case studies.
- Presents a systematic approach of model development in view of the simulation need
- Discusses modelling techniques to model hydrodynamics, mass and heat transfer, and reactors for single- as well as multi-stage/multi-phase systems
- 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
This book is aimed at senior undergraduate and graduate students in chemical, biochemical and environmental engineering.
MoreTable of Contents:
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. Multi-Phase Systems without Reaction 6. Multi-Phase Systems with Reaction 7. Multi-Stage/Multi-Phase Systems with Thermodynamic Processes 8. Coupled Processes and Process Intensification 9. Dynamic Models 10. Population-Balance Models and Discrete-Event Models 11. Artificial Neural Network-Based Models and Use of AI and ML 12. Model Validation and Sensitivity Analysis 13. Case Studies 14. Simulation of Large Plants
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