Modelling of Chemical Process Systems (eBook, ePUB)

Redaktion: Imtiaz, Syed Ahmad

• Format: ePub

Produktbeschreibung

Models and simulations are widely being used for design, optimization, fault detection and diagnosis, and various other decision-making purposes. Increasingly, models are developed at different scales and levels, all the way from molecular level to the large-scale process systems scale.

Modelling of Chemical Process Systems gives readers a feel for the multiscale modelling. As models have been developed for various applications, a general systematic method for building model has emerged. This book starts with the history of modelling and its usefulness, describing modelling steps in detail. Examples have been chosen carefully from both conventional chemical process systems to contemporary systems, including fuel cell and bioprocesses. Modelling theories are complemented with case studies that explain step-by-step modelling methodologies. This 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.

• Includes case studies that explain step-by-step modelling methodologies
• Covers detailed multiscale modelling of chemical processes, providing examples from traditional and novel areas
• Provides modelling insight at micro and macro-scale levels, including machine learning techniques

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 312
• Erscheinungstermin: 10. August 2023
• Englisch
• ISBN-13: 9780128241998
• Artikelnr.: 68490734

Inhaltsangabe

Part I Theory and Background 1. Introduction to process modelling 2. Model
equations and modelling methodology
Part II Micro Scale Modelling 3. Density functional theory (DFT) models for
extraction of sulfur compounds from fuel oils by using ionic liquids 4.
Molecular dynamics simulation in energy and chemical systems 5. Single
event modelling of reaction kinetics 6. Modelling and simulation of batch
and continuous crystallization processes
Part III Macro Scale Modelling of Process Systems 7. Fuel processing
systems 8. Crude to chemicals: Conventional FCC unit still relevant
Part IV Machine Learning Techniques for Modelling Process Systems 9. Hybrid
model for a diesel cloud point soft-sensor 10. Large-scale process models
using deep learning