Data Visualization

Large sets of thermal comfort field data have been analysed in detail to inform generalized thermal comfort standards, but there is specific information that might be relevant to particular projects that is not easily accessed by practitioners. We developed interactive tools that allow users to explore the data and look at the subsets that are most interesting to them because of location, culture, building type, etc.

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.