Batch Distillation : Simulation, Optimal Design, and Control, Second Edition

Urmila Diwekar

ISBN 10: 1439861226 / ISBN 13: 9781439861226

Published by CRC Press, 2011

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Most available books in chemical engineering mainly pertain to continuous processes, with batch distillation relegated to a small section. Filling this void in the chemical engineering literature, Batch Distillation: Simulation, Optimal Design, and Control, Second Edition helps readers gain a solid, hands-on background in batch processing. The second edition of this bestseller explores numerous new developments in batch distillation that have emerged since the publication of the first edition.New to the Second EditionSpecial sections on complex column configurations and azeotropic, extractive, and reactive distillationA chapter on various kinds of uncertainties in batch distillationA chapter covering software packages for batch distillation simulation, design, optimization, and controlSeparate chapters on complex columns and complex systemsUp-to-date references and coverage of recent research articlesThis edition continues to explain how to effectively design, synthesize, and make operations decisions related to batch processes. Through careful treatments of uncertainty analysis, optimization, and optimal control methods, the author gives readers the necessary tools for making the best decisions in practice.While primarily designed for a graduate course in batch distillation, the text can also be used in undergraduate chemical engineering courses. In addition, researchers and academics faced with batch distillation research problems and practicing chemical engineers tackling problems in actual day-to-day operations will find the book to be a useful reference source.

Seller Inventory # 9781439861226

Bibliographic Details

• Title: Batch Distillation : Simulation, Optimal Design, and Control, Second Edition
• Publisher: CRC Press
• Publication Date: 2011
• Language: English
• ISBN 10: 1439861226
• ISBN 13: 9781439861226
• Binding: Buch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 240W x 161H x 26D millimeters 240 millimeters width by 161 millimeters height by 26 millimeters depth
• Weight: 766 grams

About this title

Synopsis

Most available books in chemical engineering mainly pertain to continuous processes, with batch distillation relegated to a small section. Filling this void in the chemical engineering literature, Batch Distillation: Simulation, Optimal Design, and Control, Second Edition helps readers gain a solid, hands-on background in batch processing. The second edition of this bestseller explores numerous new developments in batch distillation that have emerged since the publication of the first edition.

New to the Second Edition

• Special sections on complex column configurations and azeotropic, extractive, and reactive distillation
• A chapter on various kinds of uncertainties in batch distillation
• A chapter covering software packages for batch distillation simulation, design, optimization, and control
• Separate chapters on complex columns and complex systems
• Up-to-date references and coverage of recent research articles

This edition continues to explain how to effectively design, synthesize, and make operations decisions related to batch processes. Through careful treatments of uncertainty analysis, optimization, and optimal control methods, the author gives readers the necessary tools for making the best decisions in practice.

While primarily designed for a graduate course in batch distillation, the text can also be used in undergraduate chemical engineering courses. In addition, researchers and academics faced with batch distillation research problems and practicing chemical engineers tackling problems in actual day-to-day operations will find the book to be a useful reference source.

About the Author

Urmila Diwekar is the president and founder of the Vishwamitra Research Institute, a non-profit research organization that develops methods, algorithms, and approaches for rapid, reliable, and robust multiple objective optimal decision making under uncertainty. She was previously a professor at the University of Illinois at Chicago and Carnegie Mellon University. Dr. Diwekar has authored more than 120 peer-reviewed papers and is a fellow of the American Institute of Chemical Engineers and the American Institute of Medical and Biological Engineering.