## 1 Introduction
However, in most (not quite simple) cases, BIM tools cannot export such information so that BEM can analyse and apply it [44]. The BIM/BEM interoperability study of [PERSON] et al. [45], summarising the main shortcomings of the process, contributes to the projects which use modelling from Revit and also from ArchiCAD, describing the utilisation of various formats, including IFC [46; 47]. Modern energy modelling techniques introduce advanced approaches, such as artificial intelligence (AI) and machine learning (ML), for more accurate predictions of building energy demands. [PERSON] et al. (2024) [48] and [PERSON] et al. (2021) [49] state that AI can significantly improve the efficiency of thermal comfort management and building energy performance. However, these techniques are often demanding in terms of input data and computational capacity. Moreover, their application requires extensive expertise, which limits their adoption in standard construction practice. Generative algorithms and multi-criteria optimisation, as highlighted by [PERSON] et al. (2024) [50] and [PERSON] et al. (2025) [51], enable the optimisation of building envelopes in terms of energy, and environmental and economic sustainability. While these methods provide detailed analysis and optimisation capabilities, they are not always compatible with standardised tools, such as BIM. Furthermore, advanced simulation methods have been explored, including using OpenStudio, which utilises data transfer via gbXML. [PERSON] et al. (2016) [39] mention that gbXML offers a flexible framework for data exchange between BIM and BEM but they point out its limited ability to capture complex physical processes, such as moisture transport. Our study contributes to this discussion by demonstrating how gbXML can be applied in -timber structure simulations under specific local conditions. In this paper, the communication between BIM and BEM is demonstrated in the case study, accenting the interpretation and validation of results obtained by BEM. After the introductory Section 1, Section 2 presents the methods of both computational modelling and measurements of the experimental building object, located in Ostrava (Czech Republic). The results are shown in Section 3, followed by their discussion in Section 4. The brief evaluation of present results in Section 3 is supplemented by references to problems, which have not yet been resolved, interpretable as challenges for further research. The available literature frequently mentions the limited interoperability between BIM and BEM systems, which leads to data loss and inefficiencies in energy simulations. This study, therefore, focuses on testing the use of the gbXML format to improve interoperability under conditions specific to Central Europe. At the same time, it contributes to a deeper understanding of the impact of construction solutions on the accuracy of energy simulations for timber structures--an issue that has so far been studied mainly at a general level, without specific case studies in local conditions. The findings of this study have the potential to improve design and simulation processes in practice, thereby contributing to reducing the energy demands of buildings, which aligns with current European directives. The primary objective of this article is to assess the effectiveness of the gbXML format as a tool for data transfer between BIM and BEM environments. The study focuses on identifying key limitations and challenges associated with the interoperability of these platforms while also exploring ways to optimise this process. Through a case study of a timber structure, the extent to which gbXML can enhance the accuracy of energy simulations and facilitate design processes in building energy performance is analysed. The main focus is on the following:  
1. Verifying model-derived data and their validation using experimental measurements from a real timber structure. 2.