Description:  Computational Fluid Dynamics (CFD) has been successfully used in innovative design, trouble-shooting, optimization of technologies and facilities in numerous areas. This advanced CFD course will provide a familiarity with and an in-depth understanding of the following topics and issues:

Day 1: Fundamentals of CFD (intro to CFD; the finite volume method for various steady and unsteady problems; different spatial and temporal discretization schemes, their
            formulation, assessment and applicability
). Lecturer: Chungen Yin; 7.4 hours

Day 2: RANS turbulence modeling (SIMPLE algorithm for pressure-velocity coupling; fundamentals of turbulence; different isotropic eddy viscosity models; near-wall
            modeling; meshing impact and strategies
). Lecturer: Chungen Yin; 7.4 hours

Day 3: Multiphase flow modeling (different methods for multiphase flow modeling such as Lagrangian method, Eulerian method, mixture & volume of fluid approach;
            modeling multiphase flow in porous media
). Lecturer: Torsten Berning; 7.4 hours

Day 4: Turbulent combustion modeling and user-defined functions (combustion analysis tools; species transport/eddy dissipation or EDC; mixture fraction/PDF;
            fundamentals & examples of user-defined functions
). Lecturer: Chungen Yin; 7.4 hours

During each of the four days, lectures will be combined with demos and hands-on sessions, in order to achieve the above objectives.

Prerequisites: Basic knowledge in fluid flow, turbulence, multiphase, combustion, programming

Form of evaluation: Finish one of the following mini-projects and submit the mini-project report.

1)      numerically solve a general transport equation using the finite volume method and the key results; or

2)      modeling of a turbulent flow using a commercial CFD code both by the default software and by developing and integrating user-defined functions.

Course literature:

1.      Book: Versteeg, H.K.; Malalasekera, W. “An introduction to computational fluid dynamics – The finite volume method (2nd edition)”. Pearson Education Limited,
         2007 (ISBN 978-0-13-127498-3). The relevant chapters, ca. 200 pages

2.      Papers & tutorials: ca. 200 pages (to be uploaded to the course homepage in Moodle)

3.      Presentations: lecture slides, ca. 350 pages (to be uploaded to the course homepage in Moodle)

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

Lecturers:      Associate Professor Chungen Yin, Aalborg University

                      Associate Professor Torsten Berning, Aalborg University

ECTS:               4.0

Date/Time:   August 22-25, 2023

Deadline         1 August 2023

Price:               6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT
The Danish universities have entered into an agreement that allows PhD students at a Danish university (except Copenhagen Business School) the opportunity to free of charge take a subject-specific course at another Danish university.

Payment:       A Online link will be annonced after deadline for registration

Place:              AAU Energy, Aalborg

Max no. of participants:    25

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce 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 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. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.