Overview
- Applications cover examples encountered in chemical processes: chemical reactors, heat transfer and more
- Undergraduate practical introduction of optimization theory to chemical and biochemical systems
- Chapters include an introduction, examples, applications, terms and concepts, case studies, and problem sets
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 197)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This text provides the undergraduate chemical engineering student with the necessary tools for problem solving in chemical or bio-engineering processes. In a friendly, simple, and unified framework, the exposition aptly balances theory and practice. It uses minimal mathematical concepts, terms, algorithms, and describes the main aspects of chemical process optimization using MATLAB and GAMS. Numerous examples and case studies are designed for students to understand basic principles of each optimization method and elicit the immediate discovery of practical applications. Problem sets are directly tied to real-world situations most commonly encountered in chemical engineering applications. Chapters are structured with handy learning summaries, terms and concepts, and problem sets, and individually reinforce the basics of particular optimization methods. Additionally, the wide breadth of topics that may be encountered in courses such as Chemical Process Optimization, Chemical Process Engineering, Optimization of Chemical Processes, are covered in this accessible text. The book provides formal introductions to MATLAB, GAMS, and a revisit to pertinent aspects of undergraduate calculus. While created for coursework, this text is also suitable for independent study. A full solutions manual is available to instructors who adopt the text for their course.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Practical Chemical Process Optimization
Book Subtitle: With MATLAB® and GAMS®
Authors: Ioannis K. Kookos
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-031-11298-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-11297-3Published: 29 October 2022
Softcover ISBN: 978-3-031-11300-0Published: 29 October 2023
eBook ISBN: 978-3-031-11298-0Published: 28 October 2022
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XI, 439
Number of Illustrations: 132 b/w illustrations, 19 illustrations in colour
Topics: Optimization, Industrial Chemistry/Chemical Engineering