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Modeling and simulation in chemical ...

Boyadjiev, Christo.

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Modeling and simulation in chemical engineering = project reports on process simulation /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling and simulation in chemical engineering/ edited by Christo Boyadjiev.
Reminder of title:	project reports on process simulation /
other author:	Boyadjiev, Christo.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xiv, 199 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Chemical engineering - Mathematical models. -
Online resource:	https://doi.org/10.1007/978-3-030-87660-9
ISBN:	9783030876609

Modeling and simulation in chemical engineering = project reports on process simulation /
Modeling and simulation in chemical engineeringproject reports on process simulation /[electronic resource] :edited by Christo Boyadjiev. - Cham :Springer International Publishing :2022. - xiv, 199 p. :ill. (some col.), digital ;24 cm. - Heat and mass transfer,1860-4854. - Heat and mass transfer..

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.

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.

ISBN: 9783030876609

Standard No.: 10.1007/978-3-030-87660-9doiSubjects--Topical Terms:

1639472
Chemical engineering
--Mathematical models.

LC Class. No.: TP155.2.M35 / M63 2022

Dewey Class. No.: 660.0115118

Modeling and simulation in chemical engineering = project reports on process simulation /
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245 0 0 $a Modeling and simulation in chemical engineering $h [electronic resource] : $b project reports on process simulation / $c edited by Christo Boyadjiev.
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300 $a xiv, 199 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Heat and mass transfer, $x 1860-4854
505 0 $a 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.
520 $a 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.
650 0 $a Chemical engineering $x Mathematical models. $3 1639472
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650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
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650 2 4 $a Engineering Fluid Dynamics. $3 891349
650 2 4 $a Physical Chemistry. $3 890828
700 1 $a Boyadjiev, Christo. $3 2182918
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856 4 0 $u https://doi.org/10.1007/978-3-030-87660-9
950 $a Chemistry and Materials Science (SpringerNature-11644)