Numerical Techniques for Process Technology
- ECTS credits10
- Teaching semesterSpring
- Course codeENERGI255
- Number of semesters1
- LanguageEnglish. Norwegian if only Norwegian students attend.
- Resources
Main content
Level of Study
Bachelor
Teaching semester
Spring
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.
Required Previous Knowledge
None.
Recommended Previous Knowledge
Knowlegde of scientific computing or basic informatics
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
Two accepted obligatory exercises in Fortran programming. Compulsory assignments are valid for 3 subsequent semesters.
Forms of Assessment
The forms of assessment are:
- Written examination (4 hours), 100% of total grade.
Examination Support Material
None
Grading Scale
Ved sensur vert karakterskalaen A-F nytta.
Assessment Semester
Only in autumn semester.
Reading List
The reading list will be available within June 1st.
Course Evaluation
The course will be evaluated by the students in accordance with the quality control system at UiB and the department.
Programme Committee
The course will be evaluated by the students in accordance with the quality control system at UiB and the department.
Course Coordinator
Contact information for the course coordinator is available at «Mitt UiB», alternatively contact the student advisor.
Course Administrator
The Faculty of Mathematics and Natural Sciences and Department of Physics and Technology are administratively responsible for the course.
Contact Information
This course is administered by the Department of Physics and Technology.
Contact
Exam information
For written exams, please note that the start time may change from 09:00 to 15:00 or vice versa until 14 days prior to the exam.
Type of assessment: Written examination
- Withdrawal deadline
- 11.09.2023
- Examination system
- Inspera
- Digital exam