Computational Fluid Dynamics Fundamentals

The course is primarily meant for students. The course starts from first principles of Computational Fluid Dynamics (CFD) and introduces the concepts of CFD that are used to solve complex fluid dynamics problems.The course content is focused to help the participants follow best industry practices while analysing the fluid flow at the exterior of the buildings through simulation (using Design Builder software as an assessment tool).

No prior experience of CFD and no specific CFD code/coding experiences are essential. However, participants are expected to have basic knowledge on higher secondary physics and should be familiar with building design techniques and basic construction techniques and terminologies.

By the end of the course, you will understand the basic fundamentals of CFD and modelling techniques to accurately conduct the CFD analysis for exterior environment to the buildings.

Computational fluid dynamics (CFD) is a branch of fluid mechanics that uses numerical analysis and data structures to analyze and solve problems that involve fluid flows. Computers are used to perform the calculations required to simulate the free-stream flow of the fluid, and the interaction of the fluid (liquids and gases) with surfaces defined by boundary conditions. With high-speed supercomputers, better solutions can be achieved, and are often required to solve the largest and most complex problems. Ongoing research yields software that improves the accuracy and speed of complex simulation scenarios such as transonic or turbulent flows. Initial validation of such software is typically performed using experimental apparatus such as wind tunnels. In addition, previously performed analytical or empirical analysis of a particular problem can be used for comparison. A final validation is often performed using full-scale testing, such as flight tests.

Who this course is for:

• Architecture students interested in Energy Sector
• Civil Engineering students
• Mechanical Engineering Students
• Masters in Environmental Sciences
• Building Energy modelers
• Energy analysts