Valid from: Spring 2018
Decided by: Margareta Sandahl
Date of establishment: 2018-04-25
Division: Chemical Engineering
Course type: Third-cycle course
Teaching language: English
Provide insight into how process engineering optimization problems are formulated and what solution methods can be used and the behaviour of the methods.
Knowledge and Understanding
For a passing grade the doctoral student must be able to classify various optimization problems as well as explain which types of solution methods can be used.
Competences and Skills
For a passing grade the doctoral student must use and compare basic methods of optimization theory to solve process engineering optimization problems, especially those methods available in common computing tools such as MATLAB and Python.
Judgement and Approach
For a passing grade the doctoral student must understand and reflect on how an optimization problem can be reformulated to another and show a deep insight into how optimization techniques can be used successfully in process engineering.
Optimization is a fundamental tool in all process engineering development, design and research. Optimization is called the process of developing as good a solution as possible based on a target function. This course is focused on two parts: 1) The requirements for correctly formulated optimization problems and the understanding of the characteristics of corresponding solution methods, 2) The technique and the ability to formulate and reformulate process engineering problems to optimization problems and solve them.
Dutta, D.: Optimization in Chemical Engineering. Cambridge, 2016.
Types of instruction: Lectures, seminars, exercises, project
Examination format: Written assignments
Grading scale: Failed, pass
Admission requirements: Basic courses in transport phenomena, reaction and separation engineering or corresponding courses
Assumed prior knowledge: KETN01 Process Simulation