Numerical Techniques for Process Technology
Undergraduate course
- ECTS credits
- 10
- Teaching semesters
- Spring
- Course code
- ENERGI255
- Number of semesters
- 1
- Teaching language
- English. Norwegian if only Norwegian students attend.
- Resources
- Schedule
Course description
Objectives and Content
Objectives
This course aims to provide an introduction to numeric techniques used by the industry for quantitative treatment of fluid flow, mass and heat transport (Computational Fluid Dynamics) and fundametals of statistical physics and statistical ensembles.
The course explains how the basic principes of physics and applied mathematics enable the use of numeric techniques for the purposes of process technology.
Content
Description of different types of flow. Navier-Stokes equation. Numerical techniques used for quantitative treatment of fluid flow, mass and heat transport (Computational fluid dynamics). Fundamentals of statistical physics and statistical ensembles. Molecular simulations. Introduction to molecular dynamics and Monte Carlo simulations. Python programming.
Learning Outcomes
On completion of the course
The student should have the following learning outcomes defined in terms of knowledge, skills and general competence:
Knowledge
The student will
- Achieve a deeper insight into fundamental transport equations of process technology
- Learn how to apply various numerical techniques for quantitative treatment of fluid dynamics and interfacial systems for the purposes of process equipment design
Skills
The student will
- Master the basics of working with Linux OS
- Be able to write programs in Fortran for the purposes of numeric simulations (CFD)
- Be able to modify/maintain existing Fortran packages
General competence
The student will acquire knowledge and understanding to read advanced literature and scientific articles dealing with numeric simulations (CFD), as well as utilize CFD packages widely used in industry while being aware of their strengths and limitations.
Level of Study
Semester of Instruction
Required Previous Knowledge
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
PTEK205: 10 ECTS
PTEK204: 5 ECTS
Teaching and learning methods
The teaching method is by combination of lectures and computer laboratory exercises.
Lectures/ 5 hours per week
Computer laboratory exercises / 1 hour per week
Lectures/ 15 weeks
Computer laboratory exercises / 13 weeks
Compulsory Assignments and Attendance
Forms of Assessment
The forms of assessment are:
- Written examination (4 hours), 100% of total grade.