Learn how to effectively interpret, select and optimize reactors for complex reactive systems, using Attainable Region theory
With so many different reactor types available, and infinitely ways to combine these types together, how should we go about decoding and designing these systems, and how do we know that there are not other designs that could do better?
Attainable Region (AR) theory provides a means of understanding chemical reactor networks from a geometric perspective of reactors. This approach allows us to find all possible outcomes for all possible designs -- even the designs we cannot imagine -- giving us confidence that what we design is always optimal for a given duty.
Attainable Region Theory: An Introduction to Choosing an Optimal Reactor discusses how to effectively interpret, select and optimize reactors for complex reactive systems, using AR theory. Covering both fundamentals and advanced concepts, this book demonstrates how this approach can lead to powerful insights and discoveries that improve the performance of complex reactor designs.
Written by respected figures on AR research, including co-developers of the founding theory, this textbook features:
- Over 70 worked examples and 200 illustrations, including interactive software tools written in Python, which demonstrate AR theory
- Fundamentals of AR theory to readers without any prior knowledge of chemical reactors or optimization
- Advanced AR topics including construction algorithms, higher dimensional and variable density systems
This book serves as a companion textbook for self-study or a reference for instructors, and may also be used as a module of a larger course on reactor network design and optimization.
