Valid from: Spring 2013
Decided by: FN2/Eva Nordberg Karlsson
Date of establishment: 2013-02-11
Division: Chemical Engineering
Course type: Third-cycle course
Teaching language: English
Give insight to how process optimization problems are formulated and how corresponding solution metod behaves.
Knowledge and Understanding
For a passing grade the doctoral student must understand how to classify optimization problems and to select a proper class of solution methods
Competences and Skills
For a passing grade the doctoral student must use the basic optimization methods in optimization, particular to ones available in MATLAB.
Judgement and Approach
For a passing grade the doctoral student must understand how an optimization problem can be reformulated into another and to have insight to how optimization technique can successfully be used in process engineering.
Optimization is a fundamental tool I all process engineering development, design and research. Optimization is the activity to find a good solution as possible based on an objective. This course focus on two parts: 1) the need to formulate a correct optimization problem and the understanding of the properties of the corresponding solution method, 2) the technique and skill to formulate and reformulate process engineering problems to optimization problems and solve them.
Beers: Numerical Methods for Chemical Engineering. Cambridge.
Types of instruction: Lectures, seminars, exercises
Examination format: Written assignments
Grading scale: Failed, pass
Examiner:
Admission requirements: Basic courses in transport phenomena, reaction engineering and separation engineering or corresponding courses
Assumed prior knowledge: KETN01 Process Simulation
Course coordinators: