The processes of heat transfer and fluid flow in the air-conditioned spaces have an overwhelming impact on human life; we should be able to deal with them effectively. In many processes the prediction and forecasting increase the effectiveness of our dealing. The numerical prediction models are one of the most suitable methods in many processes, the analyses and understand the various flow and heat transfer phenomena.The present work, made use of a developed numerical code 3DHVAC, developed by Khalil [1], modified by Kameel [2], and Kameel and Khalil [3,4]. This prediction model was developed to predict the airflow characteristics in the air-conditioned spaces, such as the air velocities, temperatures, and air turbulence under steady state processes. The validity of this program was critically assessed by way of comparisons with experimental, numerical and analytical solutions in more than test cases, Kameel and Khalil [3,4]. In the present work, the 3DHAVC program will be utilized to predict the flow regimes in the full-scaled room models. Comparisons between published experiments and predictions are given firstly for full-scale model; followed by the reduced-scale model experiments. The present work also indicates the difference between the two different cases in term of modeled flow regimes and turbulence.The present work demonstrates the inherent effects of room geometry and configuration on the numerical model effectiveness, such as the discrepancies between the present predictions and those previously obtained results (by numerical methods or experimentally), numerical residuals, numerical errors, and convergence in the predicted flow regimes, turbulence, and heat transfer characteristics. The present work illustrates the comparisons between the flow characteristics in the various cases utilized by the 3DHVAC program. Finally, the present work gives also the limitations and factors of computational scheme, such as the treatment of the grid node distributions, airflow characteristics and the boundary conditions, that must be taken in consideration for converged optimum results.The present work demonstrates the limitations of the reduced-scale models in the simulation of the airflow in the air-conditioned spaces; it also identifies types of the air flow regimes in Air-conditioned spaces, that can be predicted using the reduced-scale models.