Valid from: Spring 2020
Decided by: Margareta Sandahl
Date of establishment: 2019-12-17
Division: Chemical Engineering
Course type: Course given jointly for second and third cycle
The course is also given at second-cycle level with course code: KETN01
Teaching language: English
Simulation is an important technology in the process industry for advanced studies, such as analysis of operation conditions and design of new processes. The course provides an in-depth skill and understanding of computer-based analysis and design of chemical processes. The aim of the course is to create opportunities for the student to become a competent user and commissioner of simulation technology by highlighting the possibilities, limitations and complexity of the technology.
Knowledge and Understanding
For a passing grade the doctoral student must
Competences and Skills
For a passing grade the doctoral student must
Judgement and Approach
For a passing grade the doctoral student must
The course addresses the formulation of mathematical models with associated numerical methods for solving stationary and dynamic lumped descriptions as well as stationary and dynamically distributed descriptions. Elementary programming technology is included for abstraction and structuring for increased usability of computer tools with graphical user interfaces. Calculation tools are used both for understanding the properties of models and methods and for solving larger engineering projects.
Course material is handed out during the course.
Types of instruction: Lectures, exercises, project, miscellaneous. The course's theory and methods are applied to a number of minor simulation projects. The projects are carried out in groups of two students. The course is based on integrated lectures and computer exercises during the first part that support the project. In the second part, more and more independent group work is done within the project. The course concludes with an internal conference.
Examination formats: Written report, written assignments, seminars given by participants.
The examination takes place through a number of sub-projects, presented in writing and orally.
Grading scale: Failed, pass
Examiner:
Assumed prior knowledge: Basic courses in transport phenomena, reaction engineering and separation engineering. Introduction to computing/programming is an advantage
Course coordinators: