Modelling of Chemical Process Systems

Models and simulations are used for design, optimization, fault detection, and diagnosis, and this book provides a systematic method for building models at different scales and levels. It also introduces the application of machine learning techniques to model chemical process systems.

Format: Paperback / softback
Length: 312 pages
Publication date: 01 June 2023
Publisher: Elsevier Science Publishing Co Inc

Design, optimization, fault detection, and diagnosis are just a few of the many uses for models and simulations. Models are being created at increasingly finer and broader scales, ranging from the molecular level to the large-scale process systems scale. This book provides an introduction to multiscale modelling through the modelling of chemical process systems. It begins by tracing the history of modelling and explaining the modelling process in great detail. Examples are drawn from a variety of systems, including conventional chemical process systems and contemporary systems such as fuel cells and bioprocesses. Modelling theories are complemented with case studies that demonstrate step-by-step modelling methodologies. Furthermore, this book introduces the application of machine learning techniques to model chemical process systems. This makes the book an essential resource for academics and professionals working in modelling and simulation.

Weight: 450g
Dimension: 235 x 191 (mm)
ISBN-13: 9780128238691