Petrochemical Engineering Process Analysis, and Optimization

At the end of this course, the students should be able to: 1. apply mathematical methods in solving problems involving Petrochemical Engineering processes listed in the

; 2. apply numerical methods in solving problems involving Petrochemical Engineering processes listed in the course content; 3. describe optimization theory and its applications to petrochemical processes; 4. model material and energy flows around reacting and non-reacting systems using an appropriate modelling software package; 5. define and solve engineering problems and formulate suitable strategies for problem solutions; and 6. Apply knowledge of Artificial Neural Network software and DATAFIT in process optimization. * It is expected that 2hrs every week should be used by the students to learn how to use software such as Microsoft excel, POLYMATH, (MATLAB is a computing language and interactive environment for data visualisation, algorithm development, data analysis, and full of numeric computation) for simple calculations based on the content of this course. Course Contents Review of elementary theorems and operations on vectors and matrices. Application to Petrochemical Engineering stage processes including rectification, multicomponent distillation, staged absorbers, complex monomolecular kinetics, stirred tanks reactions and stage dynamics. Review of solutions of the standard form of differential equations including series solutions. Green’s functions. Formulation of simple and complex chemical engineering problems and their solutions. Numerical methods for solving linear and non-linear equations, ordinary and partial differential equations. Iterative procedures. Optimization techniques.