Computational Fluid Dynamics
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Computational Fluid Dynamics
Course Information
This course provides guidance on how to use Computational Fluid Dynamics (CFD) airflow simulations to evaluate occupant comfort and overheating potential.
There are demonstrations on how to import boundary conditions on particle tracking and the evaluation of CO as indicative of airborne pollutants.
The first series of lessons will take you step by step through how to:
- Predict internal occupant comfort temperatures, air temperature, and airflow; optimise supply grille placement
- Investigate in detail natural and mixed-mode ventilation strategies
- Analyse outdoor wind flow effects and pedestrian comfort and safety
The following lessons demonstrate:
- CFD of a Hospital Operating Room
- Laminar flow Supply diffusers and low-level exhaust grilles
- Room Pressurization
- Heat Gains from Operating Room Equipment, Lighting & Occupants
- CFD Simulation & Particle Tracking
- CFD analysis of basement carparks.
- Space setup
- C.O. source positioning and generation rates
- Simulation and results output
- Best practices for complementing a Dynamic Simulation Model with a CFD model.
- The best way to import boundary conditions
- Meshing Efficiency
WHY CHOOSE THIS CFD COURSE?
We successfully cope with tasks of varying complexity provide area longerty guarantees and regularly master new Practice Following gies heur.
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Focus on occupant comfort and overheating potential
The course seems to have a strong focus on how CFD can be used to improve occupant comfort and mitigate overheating risks. This is particularly relevant in spaces like hospital operating rooms, where maintaining a controlled environment is crucial.
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Step-by-step approach
The course promises a step-by-step approach to learning CFD, making it ideal for beginners or those wanting to refresh their skills. This includes demonstrations on importing boundary conditions, particle tracking, and CO analysis.
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Complementary skills
The course touches upon best practices for integrating CFD with Dynamic Simulation Models and importing boundary conditions. This helps develop a holistic understanding of building simulation workflows.
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Meshing efficiency
The mention of meshing efficiency hints at practical guidance on optimizing simulations for accuracy and computational cost. This is valuable for anyone who wants to get reliable results without wasting resources.
Course Curriculum
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