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