journal article·2025-03-07Open access

From BIM to BEM—Modern Thermal Simulations Using a Building Information Management Model: A Case Study

David Průša, Stanislav Šťastník, Karel Šuhajda, Jiří Psota, Kateřina Svobodová, Zuzana Sochorová, Jiří Vala

Applied Sciences· Volume 15· Issue 6

Abstract

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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: BIM and Construction Integration · 3D Surveying and Cultural Heritage · Building Energy and Comfort Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 1665/1, 613 00 Brno, Czech Republic

Institute of Technology of Building Materials and Components, Faculty of Civil Engineering, Brno University of Technology, Veveří 331/95, 602 00 Brno, Czech Republic

Institute of Building Structures, Faculty of Civil Engineering, Brno University of Technology, Veveří 331/95, 602 00 Brno, Czech Republic

Institute of Mathematics and Descriptive Geometry, Faculty of Civil Engineering, Brno University of Technology, Veveří 331/95, 602 00 Brno, Czech Republic

Funding

European Union’s Horizon 2020 research and innovation program ASFORCLIC at Mendel University · project of specific university research at Brno University of Technology

References (71)

Show source-provided references
1. Enhancing environmental sustainability over building life cycles through green BIM: A review10.1016/j.autcon.2015.06.003 ↗
2. Validation of building energy modeling tools under idealized and realistic conditions10.1016/j.enbuild.2011.12.020 ↗
3. An, N., Li, X., Yang, H., Pang, X., Gao, G., and Ding, D. (2024). From building information modeling to building energy modeling: Optimization study for efficient transformation. Buildings, 14.10.3390/buildings14082444 ↗
4. A BIM-based framework for automated generation of fabrication drawings for façade panels10.1016/j.compind.2021.103395 ↗
5. Bergonzoni, G., Marino, V., Elagiry, M., and Costa, A. (2021). Assessing residential buildings compliance with sustainability rating systems through a BIM-based approach. Proceedings, 65.10.3390/proceedings2020065022 ↗
6. Feng, Y. (2010). Development of Building Energy-Efficient Design Software Based on BIM Technology. [Master’s Thesis, Tsinghua University].
7. Review of using building information modeling for building energy modeling during the design process10.1016/j.jobe.2019.01.029 ↗
8. EnergyPlus: Creating a new-generation building energy simulation program10.1016/S0378-7788(00)00114-6 ↗
9. Genetic algorithm for building envelope calibration10.1016/j.apenergy.2016.01.075 ↗
10. Building energy technologies toward towards achieving net-zero pathway: A comprehensive review, challenges and future directions10.1016/j.jobe.2025.111795 ↗
11. (2024, December 18). Directive (EU) 1275 of the European Parliament and of the Council on the Energy Performance of Buildings (Recast, Text with EEA Relevance). Available online: https://eur-lex.europa.eu/eli/dir/2024/1275/oj/eng.
12. Hysteresis and damping properties of steel and polypropylene fiber reinforced recycled aggregate concrete under uniaxial low-cycle loadings10.1016/j.conbuildmat.2021.126191 ↗
13. A scientometric review of global BIM research: Analysis and visualization10.1016/j.autcon.2017.04.002 ↗
14. The project benefits of Building Information Modelling (BIM)10.1016/j.ijproman.2012.12.001 ↗
15. Cao, Y., Kamaruzzaman, S.N., and Aziz, N.M. (2022). Green Building Construction: A Systematic Review of BIM Utilization. Buildings, 12.10.3390/buildings12081205 ↗
16. Elagiry, M., Dugue, A., Costa, A., and Decorme, R. (2020). Digitalization Tools for Energy-Efficient Renovations. Proceedings, 65.10.3390/proceedings2020065009 ↗
17. Elagiry, M., Marino, V., Lasarte, N., Elguezabal, P., and Messervey, T. (2019). BIM4Ren: Barriers to BIM implementation in renovation processes in the Italian market. Buildings, 9.10.3390/buildings9090200 ↗
18. Ullah, K., Lill, I., and Witt, E. (2019, January 7–8). An overview of BIM adoption in the construction industry: Benefits and barriers. Proceedings of the 10th Nordic Conference on Construction Economics and Organization, Tallinn, Estonia.10.1108/S2516-285320190000002052 ↗
19. Maskuriy, R., Selamat, A., Ali, K.N., Marešová, P., and Krejcar, O. (2019). Industry 4.0 for the construction industry—How ready is the industry?. Appl. Sci., 9.10.3390/app9142819 ↗
20. De Lange, P., Bähre, B., Finetti-Imhof, C., Klamma, R., Koch, A., and Oppermann, L. (2017, January 13). Socio-technical challenges in the digital gap between building information modeling and Industry 4.0. Proceedings of the 3rd International Workshop on Socio-Technical Perspective in IS development, Essen, Germany.
21. González, V.G., Colmenares, L.Á., Fidalgo, J.F.L., Ruiz, G.R., and Bandera, C.F. (2019). Uncertainy’s indices assessment for calibrated energy models. Energies, 12.10.3390/en12112096 ↗
22. Fernández Bandera, C., and Ramos Ruiz, G. (2017). Towards a new generation of building envelope calibration. Energies, 10.10.3390/en10122102 ↗
23. Statistical analysis of neural networks as applied to building energy prediction10.1115/1.1637640 ↗
24. Ramos Ruiz, G., Lucas Segarra, E., and Fernández Bandera, C. (2019). Model predictive control optimization via genetic algorithm using a detailed building energy model. Energies, 12.10.3390/en12010034 ↗
25. Gutiérrez González, V., Ramos Ruiz, G., and Fernández Bandera, C. (2020). Empirical and Comparative Validation for a Building Energy Model Calibration Methodology. Sensors, 20.10.3390/s20175003 ↗
26. Development of open BIM-based energy analysis software to improve the interoperability of energy performance assessment10.1016/j.autcon.2016.07.004 ↗
27. An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (building information modelling)10.1016/j.energy.2015.12.135 ↗
28. Segarra, E.L., Ruiz, G.R., González, V.G., Peppas, A., and Bandera, C.F. (2020). Impact assessment for building energy models using observed vs. third-party weather data sets. Sustainability, 12.10.3390/su12176788 ↗
29. Application of BEM and using BIM database for BEM: A review10.1016/j.jobe.2019.01.021 ↗
30. Building information modeling for energy retrofitting: A review10.1016/j.rser.2018.03.064 ↗
31. Review of BIM’s application in energy simulation: Tools, issues, and solutions10.1016/j.autcon.2018.11.008 ↗
32. Dimitriou, V., Firth, S.K., Hassan, T.M., and Fouchal, F. (2016, January 12–14). BIM enabled building energy modelling: Development and verification of a GBXML to IDF conversion method. Proceedings of the 3rd IBPSA-England Conference BSO 2016, Great North Museum, Newcastle, UK.
33. An automated IFC-based workflow for building energy performance simulation with Modelica10.1016/j.autcon.2018.03.019 ↗
34. The IFC standard-a review of history, development, and standardization
35. A thermal simulation tool for building and its interoperability through the building information modeling (BIM) platform10.3390/buildings3020380 ↗
36. Howel, I., Billiald, C., Steinmann, R., Saar, J., Moreno, A., Jost, A., Hovorka, F., Yajima, K., Hvid, C., and Makwana, J. (2024, November 16). The buildingSMART International Annual Report, 2023. Available online: https://www.buildingsmart.org/annual-reports/.
37. Hitchcock, R.J. (2002). Metracker Version 1.5: Life-Cycle Performance Metrics Tracking, Lawrence Berkeley National Laboratory.10.2172/860718 ↗
38. Dong, B., Lam, K.P., Huang, Y.C., and Dobbs, G.M. (2007, January 3–6). A comparative study of the IFC and gbXML informational infrastructures for data exchange in computational design support environments. Proceedings of the Building Simulation 2007: 8th Conference of International Building Performance Simulation Association (IBPSA 2007), Beijing, China.
39. Data conversion and sharing for building performance analyses based on IFC
40. Mechanism and key algorithms of transformation from IFC data of design result to IDF data for analysis of building’s energy consumption
41. Yang, Y., Pan, Y., Zeng, F., Lin, Z., and Li, C. (2022). A gbXML reconstruction workflow and tool development to improve the geometric interoperability between BIM and BEM. Buildings, 12.10.3390/buildings12020221 ↗
42. Liang, S. (2018). Research on BIM Data Processing Method for EnergyPlus. [Master’s Thesis, Xi’an University of Architecture and Technology].
43. Analysis of energy consumption simulation software function based on BIM
44. IFC-Based BIM-to-BEM Model Transformation10.1061/(ASCE)CP.1943-5487.0000880 ↗
45. Porsani, G.B., Del Valle de Lersundi, K., Gutiérrez, A.S.-O., and Bandera, C.F. (2021). Interoperability between building information modelling (BIM) and building energy model (BEM). Appl. Sci., 11.10.3390/app11052167 ↗
46. New generalized expressions for forced convective heat transfer coefficients at building facades and roofs10.1016/j.buildenv.2017.04.012 ↗
47. Systematic approach to generate historical building information modelling (HBIM) in architectural restoration project10.1016/j.autcon.2022.104551 ↗
48. Ahsan, M., Shahzad, W., and Arif, K.M. (2024). AI-base control for thermal comfort in adaptable buildings: A review. Buildings, 14.10.3390/buildings14113519 ↗
49. Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques10.1016/j.rser.2021.110969 ↗
50. Multi-objective optimization of building envelope components based on economic, environmental, and thermal comfort criteria10.1016/j.enbuild.2024.113909 ↗
51. Future technologies for building sector to accelerate energy transition10.1016/j.enbuild.2024.115044 ↗
52. Medved, S. (2022). Building Physics: Heat, Ventilation, Moisture, Light, Sound, Fire, and Urban Microclimate, Springer Tracts in Civil Engineering.10.1007/978-3-030-74390-1 ↗
53. Polášek, J., Průša, D., Šťastník, S., Šuhajda, J., and Žajdlík, T. (2021, January 7–9). The effect of a Green roof on thermal stability of a building when compared to a conventional flat roof. Proceedings of the 26th International Meeting of Thermophysics 2021, Dalešice, Czech Republic.10.1063/5.0093492 ↗
54. Periodic solution of transient heat flow through multilayer walls and flat roofs by complex finite Fourier transform technique10.1016/j.buildenv.2004.09.005 ↗
55. Optimization of some problems of building design10.21136/AM.2018.0094-18 ↗
56. Ding, P., Li, J., Xiang, M., Cheng, Z., and Long, E. (2022). Dynamic heat transfer calculation for ground-coupled floor in emergency temporary housing. Appl. Sci., 12.10.3390/app122211844 ↗
57. A numerical solution that determines the temperature field inside phase change materials: Application in buildings10.3846/13923730.2013.778212 ↗
58. Thermal bridge calculation method for transient heat transfer analysis of multidimensional building envelope details10.1016/j.enbuild.2023.113648 ↗
59. A new mathematical method to solve highly coupled equations of heat and mass transfer in porous media10.1016/S0017-9310(01)00172-7 ↗
60. A modelling method for conjugate heat transfer and fluid flow in building spaces10.1191/0143624404bt092oa ↗
61. Numerical analysis of coupled heat and moisture transport in masonry10.1016/j.camwa.2017.03.022 ↗
62. (2017). Energy Performance of Buildings—Energy Needs for Heating and Cooling, Internal Temperatures and Sensible and Latent Heat Loads—Part 1: Calculation Procedures (Standard No. EN ISO 52016-1).
63. (2025, February 21). ČSN 730540-2; Tepelná Ochrana Budov—Část 2: Požadavky. Available online: https://www.technicke-normy-csn.cz/csn-73-0540-2-730540-221712.html.
64. Airflow modelling for building design: A designers’ review10.1016/j.rser.2024.114380 ↗
65. Carlson, J., Jaffe, A., and Wiles, A. (2000). Navier–Stokes equation. The Millennium Prize Problems, American Mathematical Society.
66. Gedde, U.W. (2020). Essential Classical Thermodynamics, SpringerBriefs in Physics.10.1007/978-3-030-38285-8 ↗
67. Yu, J., Dong, Y., Wang, T.-H., Chang, W.-S., and Park, J. (2024). U-values for building envelopes of different materials: A review. Buildings, 14.10.3390/buildings14082434 ↗
68. Vala, J. (2022, January 4–6). On the computational heat transfer in buildings with controlled temperature. Proceedings of the 27th International Meeting of Thermophysics 2022, Dalešice, Czech Republic.
69. Inverse problems in heat transfer: New trends on solution methodologies and applications10.1115/1.4005131 ↗
70. Solution approaches to inverse heat transfer problems with and without phase changes: A state-of-the-art review10.1016/j.energy.2023.127974 ↗
71. Evaluation of advanced control strategies for building energy systems10.1016/j.enbuild.2022.112709 ↗