Advanced CFD (Computational Fluid Dynamics) application in Room Ventilation

ECTS credits:



Course parameters:

Language: English

Level of course: PhD course

Time of year: December 2017

No. of contact hours/hours in total incl. preparation, assignment(s): 24/90

Capacity limits: no


Objectives of the course:

Objectives of the course are to provide students with the advanced knowledge of Computational Fluid Dynamics (CFD) application and its relation to indoor air quality, air motion and thermal comfort in large room air space and intensive occupied. Special emphasis will be on the linkage of controlled ventilation, air distribution, and indoor air quality in large scale ventilated room spaces.


Learning outcomes and competences:

At the end of the course, the student should be able to:

  • identify the major challenges in CFD modelling of ventilated large room space with intensive occupants;
  • validate the accuracy of the applied hypothesis and simplification method;
  • design and conduct CFD modelling and investigation using rational hypothesis and simplification;
  • analysis the indoor thermal climate condition, airflow, air quality and effects by using the ventilation conditions and system information


Compulsory programme:

Active participation, assignments including laboratory exercises and homework, presentations and the reports required.


Course contents:

1.    Characteristics of heavy occupied large room space ventilation

2.    Experiments in scale mode or on-site and CFD simulation

3.    Simplification, hypothesis and directly modeling 

4.    airflow pattern control and precision zone ventilation

5.    Industry applications

The activities will include pre-reading of the relevant literature distributed in due time before the course, lectures, laboratory exercises and computation, student presentations and reports



Recommended, but not mandatory, a master degree of Engineering or Natural Science in the relevant directions. 


Name of lecturers:

Senior Scientist Guoqiang Zhang, Aarhus University (main instructor & coordinator)

Professor Peter V Nielsen, Aalborg University

Associate professor Bjarne Bjerg, Copenhagen University

Assistant Professor Li Rong, Aarhus University

Postdoc Research associate Hao Li, Aarhus University


Type of course/teaching methods:

Lectures, selective case studies, experimental data and numerical analysis, reporting and student presentations



Literature notes; selected scientific papers


Course homepage:



Course assessment:

The course will be evaluated as passed or not passed based on the delivered homework, reports and oral presentations.



Department of Engineering


Special comments on this course:




13-15 December 2017 (class time); 1 December 2017 – 28 February 2018 (pre- reading, class time, simulation, analysis & report)



Navitas Building, Aarhus University



Deadline for registration is 1 December 2017.

For registration: please e-mail to Guoqiang Zhang:

If you have any questions, please contact Guoqiang Zhang, e-mail:

13769 / i43