Computational Fluid Dynamics (CFD)
Model detailed airflow with confidence for data centres or other specialist uses, or to improve thermal comfort.
This course provides a structured, practical introduction to using Computational Fluid Dynamics (CFD) within the IES Virtual Environment to assess airflow, comfort, and overheating risk in real‑world buildings. Through clear, step‑by‑step demonstrations, you’ll learn how to set up robust CFD studies, import boundary conditions effectively, and analyse airflow patterns and heat gains using particle tracking.
You’ll explore how CFD supports a wide range of design challenges, from optimising supply grille placement and predicting occupant comfort to analysing natural and mixed‑mode ventilation strategies. The course includes detailed walkthroughs of specialist applications, such as modelling airflow behaviour in hospital operating rooms and assessing pollutants in basement car parks.
The final lessons focus on best‑practice techniques for integrating CFD with Dynamic Simulation Models (DSM), helping you improve accuracy, streamline workflows, and strengthen performance‑led design decision‑making across the VE modelling and simulation process.
This course covers the following key concepts, tools and workflows.
How to model indoor airflow, temperatures, comfort, and ventilation performance
How to evaluate natural and mixed mode strategies
How to apply CFD to specialist environments such as operating rooms and carparks
How to integrate CFD with DSM workflows using efficient boundary condition and meshing approaches
Overview
MicroFlo Training Video
MicroFlo Training Notes
MicroFlo Training Model
Video
Training Notes
Model Files
Video
Video
Training Notes
Model Files