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Modules

Modules

CME3107 : Chemical Process Optimisation

Semesters
Semester 2 Credit Value: 5
ECTS Credits: 3.0

Aims

To develop an understanding of the principles of standard optimisation techniques. To understand where the techniques can be beneficially applied.

Outline Of Syllabus

Preliminary mathematics (cost functions, matrices, vectors, Grad., Curl, Least Squares), EVOP, Problem formulation, Necessary and sufficient conditions, Unconstrained multivariable optimisation (gradient based techniques, gradient free), Constrained optimisation (Lagrange multipliers, penalty functions etc.), Linear Programming, Application areas (e.g. Optimisation of Reactors, Distillation trains, Predictive Control). Basic scheduling methods.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture121:0012:00N/A
Guided Independent StudySkills practice63:0018:00Practical - skills practice
Guided Independent StudyIndependent study120:0020:00Assessment preparation
Total50:00
Teaching Rationale And Relationship

Lectures convey the mathematical concepts and theory of optimisation and optimisation algorithms and methods, practical classes support this through illustration and allow completion of assignment work.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Report2M50Assignment 1. Issued week 2 (10 pages)
Report2M50Assignment 2. Issued week 5 (10 pages)
Assessment Rationale And Relationship

The assignments and project allow students to deploy acquired knowledge to solve more realistic engineering problems and also to gain experience of using appropriate software on a computer. They also develop the key skills listed above.

Reading Lists

Timetable