Modelling and simulations are increasingly being used for design, optimization, fault detection and diagnosis and various other decision-making purposes. Increasingly models are developed at different scales and levels, from molecular level to all the way to the large-scale process systems scale.
Modelling of Chemical Process Systems gives readers a feel for the multiscale modelling. As models have emerged in various area a general systematic method for building model has emerged. The book starts with the history of model, its usefulness, and describes the modelling steps in detail. Examples have been chosen carefully from both conventional chemical process systems to the contemporary systems including fuel cell and micro reforming processes. Each chapter is accompanied with a case study explaining the step by step modelling methodology. The book also introduces the application of machine learning techniques to model chemical process systems. This makes the book an indispensable reference for academics and professionals working in modelling and simulation.
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