## 4 Conclusions  
The aim of this submitted case study was to introduce a synergetic interconnection between the information modelling of buildings (BIM) and their energy modelling (BEM), using an experimental timber structure in Ostrava. The comparison of measured and computed temperature fields formed a basis (i) for identifying key factors that control the thermal dynamics and (ii) to evaluate the accuracy of computational simulations. Validating the ability of simplified numerical models to predict long-term trends of temperature development at a rather high precision level can be seen as a non-negligible contribution of this article. Whereas computational simulations provide a robust basis for strategic decisions in the domain of energy efficiency of buildings, non-negligible differences between measured and computed data, in particular temperature values, have been found, caused by imperfect implementation of material properties into the model or undervaluation of some environmental influences. These drawbacks stimulate further development of advanced adaptive algorithms and dynamic simulation tools under real in situ conditions. BIM has significant potential for the automation of processes, especially the integration of data between particular phases of the design and construction of a building. Applying data formats such as IFC and gbXML should improve their interoperability and reduce the risk of data loss during their transfer. Other improvements of BEM simulation tools require deeper analysis of all physical processes significant for the heat transfer problems in buildings and related mathematical formulations of direct, sensitivity, and inverse problems, accompanied by the design of appropriate experiments for parameter setting in engineering applications. This calls for a remarkable upgrade of cooperation between researchers from seemingly extraneous areas, such as building design, control theory, distributed computing, and artificial intelligence. Our study provides a practical contribution to the ongoing discussion on BIM and BEM interoperability. While advanced techniques offer higher accuracy and flexibility, our work demonstrates that standardised approaches, such as gbXML, are easily implementable in practice and provide sufficient accuracy for most applications. This contributes to the adoption of these methods in everyday design practices. Although this study focuses on a case study of a timber structure, its value lies in demonstrating the practical application of the gbXML format to enhance interoperability between BIM and BEM. The methodology described in this study is universal and can be applied to other types of buildings, such as concrete or steel structures, provided that appropriate input data are given and material properties are adjusted. Furthermore, the results highlight the importance of properly defining thermal zones and ensuring input data accuracy, which is crucial for any building simulation. This approach can also be utilised to optimise the energy performance of buildings under various climatic conditions, and its implementation is feasible within a broad range of design and simulation tools. Finally, our work demonstrates that commonly available tools can be used efficiently and are user-friendly, providing practical benefits for designers and researchers involved in building energy modelling. These findings align with current challenges in sustainable building design and lifecycle optimisation. The results of this study can be applied across multiple areas of construction practice and energy policy:  
1. Building Design Optimisation: Accurate simulations of heat transfer between different zones and structures provide designers with valuable insights into the efficiency of proposed insulation materials and their impact on the overall energy balance of a building. For instance, our simulations revealed that minor adjustments in insulation composition or thermal bridge design could significantly reduce heat losses.