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Computational fluid Dynamics can simultaneously predict airflow, heat transfer and contaminant transport in and around building. A CFD model is built upon fundamental physical equation of fluid flow and energy transfer. The technique is capable of providing time dependent and as well as steady state solutions to the coupled differential equations that govern fluid flows.

The objective of the CFD is to design of ventilation system for the basement car parking area using jet fans. The specific aim is to find the optimal location, number and configuration of the jet fans required for the ventilation of the car parking, for the given positions of inlets and exhaust, and given configuration of the exhaust fans, such that it meets requirements of CO exposure limit set by health and safety regulations. CFD Calculation is essential to ensure that all areas of the car park are correctly ventilated and in the event of fire, fume extraction is optimised. It is also required to establish the accurate size of the ventilation system and the correct position of the jet fans and of other exhaust and or inlet fans. This calculation is based on simulation, combining variables such as the required number of air changes per hours, air volume and direction and structural features of each car park (in 3D Model). The processed data generate dynamic scenarios based on air speed profiles, particle movement and airflow distribution. This allows a customised solution to be produced. This methodical approach ensures not only to assess the system effectiveness by also the most cost effective solution as oversized projects are avoided.


When applying a CFD package to undertake a flow and thermal analysis, there are numbers of steps that involved for completing the CFD Process.

Defining the geometry and domain

Selecting physical sub models

Specifying boundary condition at the frontiers of the domains including walls, inlets, openings, supply fans, exhaust fans jet fans and fire location and burning material properties.

Discretizing the mathematical equations, which includes creating a mesh (which sub-divides the spaces into small volumes), setting time steps (which divides the time into discrete steps) and selecting numerical sub-models

Monitoring the interactive solution process

Analysing the solution obtained

Uncertainties that may arise at each of these steps are highlighted

Visualize the obtained solution.