Batch Distillation (2^nd Ed.) Simulation, Optimal Design, and Control, Second Edition

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.

Introduction. Basic Modes of Operation. Column Dynamics. Simplified Models. Optimization. Complex Columns. Complex Systems. Batch Distillation Control. Consideration of Uncertainty. Batch Distillation Software Programs. Index.

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.