The Design Computing Group conducts applied research in computer-aided architectural design and engineering. Software environments that are easier to use and support improved decision-making are a key to improve productivity in the AEC industry and to ensure a high quality of the built environment. Our research makes contributions in the areas schematic building design, building performance modeling, and building automation.
We develop computational methods for automated input model preparation for building performance simulation from architectural design data. This makes it easier for designers to obtain detailed feedback about a building’s energy use or lighting conditions in schematic design, when many decisions are made that impact building performance. Our work in data and process modeling aims to improve data reuse between building design and operation. Due to high fragmentation of the AEC industry, data reuse across disciplines and life cycle phases is still severely limited. We develop space modeling and evaluation methods for comparative analysis of building designs. The aim is to provide designers with a systematic framework for assessing their designs relative to existing designs based on quantitative metrics.