Third-Cycle Courses

Faculty of Engineering | Lund University

Details for the Course Syllabus for Course KETN01F valid from Spring 2020

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  • English
  • Every spring semester
  • 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.
  • 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.
Knowledge and Understanding
  • For a passing grade the doctoral student must
  • Be able to formulate advanced mathematical models for mass and heat transport in chemical engineering processes
    Be able to determine which numerical methods are suitable for solving different types of simulation problems
Competences and Skills
  • For a passing grade the doctoral student must
  • Be able to formulate advanced computational problems and solve them with calculation tools
    Be able to present simulation engineering projects in writing, orally and interactively in a larger group.
Judgement and Approach
  • For a passing grade the doctoral student must
  • Be able to assess and evaluate the validity, usability and modeling complexity of models
    Be able to assess and evaluate the possibility of successfully using mathematical models for process engineering problem solving
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.
  • Failed, pass
Admission Requirements
Assumed Prior Knowledge
  • Basic courses in transport phenomena, reaction engineering and separation engineering. Introduction to computing/programming is an advantage
Selection Criteria
  • Course material is handed out during the course.
Further Information
Course code
  • KETN01F
Administrative Information
  • 2019-12-17
  • Margareta Sandahl

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