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Full Description
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.
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. 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
