The project will develop a quantitative method that can assess a building energy use and greenhouse gas emissions using building information modeling (BIM) and machine learning algorithms.

About the Project

The digitized and parameterized properties in BIM used in the design phase to generate scenarios. That information in turn forms the basis for energy performance simulations and environmental assessment databases, which enable evaluations with regard to energy use and greenhouse gas emissions. By processing generated data in a machine learning algorithm it is possible to extract suggestions for alternative constructions.