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.

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This book presents a theoretical analysis of the modern methods used for modeling various chemical engineering processes. 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.
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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.

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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 mass processes 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.

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Describes various new methods for modeling chemical engineering processes Covers the use of mathematical models for energy efficiency and sustainability in production systems Presents the application of neural networks to solve chemical engineering problems
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GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
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Produktdetaljer

ISBN
9783030876593
Publisert
2021-12-09
Utgiver
Springer Nature Switzerland AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Professional/practitioner, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
199

Redaktør

Biografisk notat

Prof. Christo Boyadjiev is Professor Emeritus at the Institute of Chemical Engineering, Bulgarian Academy of Sciences. He received his PhD in 1968 from the Moscow Institute of Chemical Engineering. His current research interests include gas purification and the development of new approaches for modeling and simulation of chemical engineering processes. Prof. Boyadjiev has published over 220 scientific papers in international journals and is an author of 9 books. In 2011, his monograph “Theoretical Chemical Engineering, Modeling and Simulation” was awarded the Excellence in Natural Sciences prize by the Union of Bulgarian Scientists.