Advanced Computational Fluid Dynamics (2025)

Welcome to Advanced Computational Fluid Dynamics (2025)

Description: Computational Fluid Dynamics (CFD) has been successfully used for improved understanding, trouble shooting, innovations of technologies and facilities in numerous areas such as energy, mechanical, environmental, health, chemical, food, and pharmaceutical industry. This advanced CFD course will provide a familiarity with and an in-depth understanding of fundamentals of CFD, turbulence modelling, multiphase flow modelling, reacting flow modelling, and user-defined functions and expressions, focusing on the common knowledge behind the overwhelming majority of the commercial, open-source, and in-house CFD codes/tools.

Key words: Fundamentals of CFD; Turbulence modeling; Multiphase flow modeling; Reacting flow modeling; User-defined functions & expressions; 

Prerequisites: Basic knowledge in fluid flow, turbulence, multiphase flow, chemical reactions, and programming.

Learning objectives: 

1. To provide a familiarity with and an in-depth understanding of (1) the finite volume method, (2) turbulent flows and Reynolds-averaged Navier-Stokes turbulence modelling approach, (3)  multiphase flows and flows through porous media, and their modelling, (4) turbulent reacting flows and their modelling, and (5) user-defined functions & expressions and their implementations.
2. To understand and follow more sophisticated state-of-the-art literature in the relevant fields, to be able to develop his or her own CFD codes using FVM to solve simple problems, and to begin advanced applications of CFD to his or her areas of concern. 

Teaching methods: Lectures, Group work, Presentations, Small assignments, Excercise, hands-on

Form of evaluation: Finish a mini-project and submit the mini-project report.

Criteria for assessment: Attendance, and mini-project report

Remarks: 120 hours (incl. 30 hours for previewing lecture materials, 30 hours for attending the 4-day lectures, 30 hours for reviewing lecture materials, and 30 hours for completing the mini-project & the corresponding project report)

Organizer: Associate Professor, Chungen Yin, chy@energy.aau.dk

Lecturers: 

• Associate Professor Chungen Yin, AAU Energy: teaching 3 days
• Associate Professor Torsten Berning, AAU Energy: teaching 1 day
• Post-Doc Tianbao Gu, AAU Energy: teaching 1-2 lectures

ECTS: 4.0

Time: 18. 19, 20 and 21 August 2025

Place: Aalborg University, AAU Energy (Room: TBA)

Zip code: 9220

City: Aalborg

Maximal number of participants: 25

Deadline: 28 July 2025

Course fee: PhD Students (outside Denmark): 6000 DKK and other participants (from Industry and Universities): 8000 DKK (excluding VAT). Guests at AAU Energy can also attend the course for free.

Important information concerning PhD courses: 

There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at phdcourses@adm.aau.dk When contacting us please state the course title and course period. Thank you.