This book presents a theoretical analysis of the modern methods used for modeling various chemical engineering processes. Currently, the two primary problems in the chemical industry are the optimal design of new devices and the optimal control of active processes. Both of these problems are often solved by developing new methods of modeling. These methods for modeling specific processes may be different, but in all cases, they bring the mathematical description closer to the real processes by using appropriate experimental data. In this book, the authors detail a new approach for the modeling of chemical processes in column apparatuses. Further, they describe the types of neural networks that have been shown to be effective in solving important chemical engineering problems. Readers are also presented with mathematical models of integrated bioethanol supply chains (IBSC) that achieve improved economic and environmental sustainability.

The integration of energy and massprocesses is one of the most powerful tools for creating sustainable and energy efficient production systems. This book defines the main approaches for the thermal integration of periodic processes, direct and indirect, and the recent integration of small-scale solar thermal dryers with phase change materials as energy accumulators. An exciting overview of new approaches for the modeling of chemical engineering processes, this book serves as a guide for the important innovations being made in theoretical chemical engineering.

Chapter 1. Introduction in the Chemical Engineering Processes Modeling

Chapter 2. Modeling of Ethanol Fermentation from Low-grade Raw Materials, Including Cellulose and Hemicellulose in a Two-step Bioreactor
Chapter 3. Modeling and Simulation of Chemical Processes in Industrial Column Apparatuses
Chapter 4. Multi-period Deterministic Model of Sustainable Integrated of Hybrid first and second Generation Bioethanol Supply Chains for Synthesis and Renovation
Chapter 5. Energy Integration of Production Systems with Batch Processes, in Chemical Engineering
Chapter 6. Artificial Neural Networks. Applications in Chemical Engineering
Chapter 7. Approach for parameter identification of multiparameter models
Chapter 8. Modeling and Simulation of Phase Change Material Based Thermal Energy Accumulators in Small-scale Solar Thermal Dryers.