In this research project, an improved, computer-implemented method for the dynamic calculation of the life cycle assessment of buildings is being developed. The starting point is the development of a life-cycle-optimized BIM model (Building Information Modeling), which describes a timber system construction planned according to circular economy criteria and which contains the necessary building parameters for dynamic eco-balancing. On this basis, a digital building twin is modeled which simulates the use of the building. Parallel to these activities, IREES is also building a demonstrator, also based on the BIM model, which supplies real measurement data for verification of the dynamic balancing. The usage information then flows into a machine-supported analysis for life cycle assessment. Technologically, we use methods of artificial intelligence (AI) and semi-supervised learning approaches are to be developed and tested in particular . Through this dynamization, the CO2 positivity of a building can be made transparent and documented, also when the context of use of the building changes during the operating phase. The static eco-balance for buildings thus becomes a technical-analytically underpinned dynamic balance, which depicts the actual use of the building. Based on this life cycle assessment, emission certificates for climate-positive buildings can be generated and issued. By creating a digital interface between climate-positive buildings and emissions trading platforms, the excess CO2 equivalents of climate-positive buildings can also be used for certificate trading.