In modem livestock buildings the design of ventilation systems is important in order to obtain good air quality. The use of Computational Fluid Dynamics for predicting the air distribution makes it possible to include the effect of room geometry and heat sources in the design process. This paper presents numerical prediction of air flow in a livestock building compared with laboratory measurements. An example of the calculation of contaminant distribution is given, and the future possibilities of the method are discussed.
Knowledge of room air distribution, including its flow and temperature characteristics, is very important to HVAC engineers. This study numerically predicts the air distribution in a room with differentially heated vertical walls. The Rayleigh number in the room is around 2.6-3x 1010. Time averaged equations of continuity, momentum, and energy are numerically solved by the finite volume method. Three turbulence models, the "standard" k-E model, and two low-Reynolds-number k-E models, are employed to simulate turbulent natural convection in the room.
This paper describes the results of a computational fluid dynamics study to assess the air freshness and percentage of dissatisfied people due to air quality in a partitioned office with different supply air diffusers. The numerical model involves the finite-volume approach of solving governing equations for mass and momentum, assuming that the buoyancy effects are negligibly small in comparison to the inertial effects. The k-s two-equation model of turbulence is used to predict the turbulence transport of flow properties.
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