Augmented Reality

Traditional approaches to simulate airflow movements in buildings are computationally expensive and do not achieve real-time prediction of results. This paper discusses an Adaptive Localization Method (ALM) that significantly minimizes the simulation domain to achieve close to real-time predictions. As the user interacts with the space by modifying boundary conditions (opening a window, etc), while being immersed in an Augmented Reality (AR) environment, the ALM detects the changes and narrows down the simulation space significantly for re-simulation instantly.