This article raises awareness of Building Information Management (BIM) and its significance for Construction 4.0. BIM is often mistakenly understood only as a 3D model of a building object, but its true potential lies in the information associated with the model (e.g., mechanical and physical properties, costs, etc.). Models can subsequently be used in the building energy management (BEM) at all stages of the building object’s life cycle. This article focuses on the possibility of creating a model using available libraries in the Czech Republic provided by manufacturers and suppliers of building materials and the subsequent use of the model for energy modelling. The results obtained from computational modelling are then compared with real values measured on a timber construction located in Ostrava (Czech Republic). These results show that properly configured BIM modelling allows faster data processing while maintaining the quality of outputs and results. Additionally, there is potential to eliminate common pitfalls in the design and subsequent processing of thermal assessments of building objects.

Reliable integration of Building Information Modeling (BIM) and Building Energy Modeling (BEM) is essential to sustainable design and renovation because energy-efficiency decisions depend on consistent analytical models. However, native gbXML exports often contain geometric and semantic inconsistencies that can distort energy assessments. This study evaluates native export limitations and the effect of middleware-based transformation on BIM-to-BEM interoperability. A residential building was modelled in Autodesk Revit and Graphisoft Archicad. gbXML exports and the BIMTWIN workflow were assessed using geometry, analytical integrity, and heat-loss indicators; only geometric results were compared with the Energy Performance Certificate. Although all workflows generated gbXML files, their analytical quality differed substantially. The middleware-transformed model deviated by only +1.53% and +2.25% from the reference external and internal volumes, respectively. Native Revit export omitted intermediate floor constructions and produced a total heat loss of 95,785 W, 25.2% higher than the 76,533 W obtained from the transformed model. Native Archicad export produced fragmented geometry unsuitable for reliable heat-loss calculation. The results show that BIM-to-BEM interoperability should be treated as a controlled validation and transformation process. By reducing analytical errors and manual reconstruction, this approach supports more reliable assessment of energy-efficiency measures and better-informed decisions in sustainable building design and renovation.