MSc in Process Integration​ (ODL)

​Overview of Modeling Concept; Mathematical Modeling, model Building, Development Constitutive relations by experiment and correlation, Sensitivity and simulation Analysis, Chemical Modeling, Pressure-Volume-Temperature, Phase equilibrium & thermodynamic properties, Liquid phase nonideality.

Introduction to Heat Integration, Energy Targets, pinch design Methods, Capital Cost Targeting, Automated Design, Integration of Heat Engine and Heat Pumps, Integration of Reactors and Separators, Process Modifications, Data Extraction.

Overview on Optimisation Basics, Theory and Methods, Model Building, Applications.

Overview on Safety, Toxic Hazards, Release Modeling, Fire and Explosion, Pressure Relief System, Reactor Safety, Storage, Hazard Identification, Risk Assessment.  

Introduction, Control Configuration, Unit Operation Control, Control of Complete Processes, Dynamic Behaviour, Feedback Controller design, model Based Control, MIMO Systems, Operability and Continuous Process.

Introduction, Waste Identification and Minimisation, Life Cycle Assessment, Materials Recycling, Legislative and Economic Aspects of Cleaner Production, Industrial Ecology.  

Wastewater Minimisation, Effluent Treatment System Design, Waste Minimisation.

Introduction, Remediation Processes, Control of VOC, Emissions, Control of Nox, Emissions, Control of Flue Gas Emissions.

Process Economics, Choice of Reactor, choice of Separator, Synthesis of Reaction-Separation Systems, Reactive Distillation, Economic trade-offs, reducing Process Hazards.

Distillation Design, Column Sequencing, Thermodynamic Analysis of the Distillation Column, Crude Oil Distillation Design, Retrofit Design of Distillation Systems, Representation of Ternary Mixtures, Azeotropic Distillation Sequence Synthesis.

Introduction, Batch Unit Operations, Bioprocess Technology, Batch Process Synthesis, Scheduling of Batch Processes, Batch Plant Engineering, Environmental Protection.

Introduction to Cogeneration and Site Utility Systems, Furnaces, steam Systems, Site Composite Curves, Optimizing Steam levels, Top Level Analysis, Site Retrofit, Gas Turbine Integration, Driver selection, Site Power to Heat Ratio, Refrigeration Systems.

Refinery Processes and Operation, General System Representation and Simulation, Modeling of Large Systems, Rigorous Models vs Simple Models, Advanced Mathematical Programming, Applications.

Crude Oil and Refinery Product, Crude Oil Distillation, Octane Processes, Hydroprocessing, Heavy End Processes, Light End Processes, Lube Oils, Sulphur Recovery, Petrochemical Processes, Refinery Integration, Hydrogen Integration.​

Practical Aspects – applying process design tools in design projects.​

In today's environment, the certainty of change is without precedent. As such, managers in contemporary organizations have to embrace project management in enhancing organizational effectiveness and the success of their energy management. Energy projects have to be delivered on schedule, within budget, with the required performance capability, and compliant with quality, environmental, safety and health standards. The need to place energy management in the context of the design, strategies, and execution of project management is compelling.

The course provides a thorough understanding process, content, concepts, techniques, issues, and challenges involved in big data analytics, prepares students to be technically competent in analyzing data, and prepares students to improve management decision-making using data analytics tools.