The paper describes the development of a computer-based inverse model for climate adaptive building shell which is in the cold climatic conditions of Latvia to determine changes in energy consumption. Types, principles of operation and classification of climate adaptive building shells (CABS) were reviewed and CABS most fitting to Latvia’s climate conditions were chosen for application in the model. Research implies that building modelling tools play an important role in the design phase. The results indicate that hourly facade adjustment can have a significant impact on GHG emissions and energy consumption reduction without compromising the comfort level. Optimization is proven to be an essential part of the inverse modelling phase, which provides the best possible option defined by the user for the characteristics that distinguish climate adaptive building shells. Inverse modelling approach allowed to determine necessary building enclosure parameters that need to be met to provide best performance.