Preview

Vestnik MGSU

Advanced search

Assessment of the thermal efficiency of external vertical building enclosures

https://doi.org/10.22227/1997-0935.2026.1.67-83

Abstract

Introduction. The project documentation for the construction of a permanent structure contains a section justifying the building’s energy efficiency. This justification is based on the compliance of its thermal performance parameters with the norms in force in Russia. A key parameter is the thermal of the external building envelope, which serves as a measure of its thermal effectiveness. However, the normative calculation method for this parameter, which relies on a two-dimensional heat transfer analysis, is inadequate for accurately evaluating true thermal performance. Its primary shortcoming is the inability to model all critical heat loss areas — specifically, thermal bridges present in non-uniform envelope assemblies and at structural junctions.

Materials and methods. The paper presents an analysis of the facade system design implemented in a monolithic residential building with balconies, intended for construction in Moscow. The exterior walls are constructed from monolithic reinforced concrete and autoclaved aerated concrete blocks within a ventilated facade system. Thermal performance was assessed via 3D heat transfer modelling using TEPL software.

Results. The analysis of temperature distribution on surfaces has identified specific areas of excessive heat loss within the structures. Corresponding measures for additional insulation have been developed. Calculations performed withthe TEPL software package determined the design thermal resistance of the building envelope assemblies. These results provide a verified assessment of the thermal efficiency for both the original design and the proposed insulated solutions.

Conclusions. The findings advocate for a paradigm shift in practice, proposing that the thermal evaluation of external vertical enclosures should be based on 3D numerical modelling. Such an analysis provides a reliable value for the equivalent thermal resistance and, crucially, maps all thermal bridges, informing necessary design corrections to mitigate them.

About the Authors

O. A. Tusnina
Moscow State University of Civil Engineering (National Research University) (MGSU)
Russian Federation

Olga A. Tusnina — Candidate of Technical Sciences, Associate Professor, Associate Professor of the Department of Metal and Timber Structures

26 Yaroslavskoe shosse, Moscow, 129337

Scopus: 55975424400, ResearcherID: U-7848-2018



V. M. Tusnina
Moscow State University of Civil Engineering (National Research University) (MGSU)
Russian Federation

Valentina M. Tusnina — Candidate of Technical Sciences, Associate Professor docent, Associate Professor of the Department of Architectural and Construction Design and Physics of the Environment

26 Yaroslavskoe shosse, Moscow, 129337

RSCI AuthorID: 455915, Scopus: 56296961500, ResearcherID: AAD-8968-2022



References

1. Patankar S.V. Numerical heat transfer and fluid flow. NY, 1980; 197.

2. Tusnina O.A., Tusnin A.R. A computing program for the thermal analysis of building structures. Industrial and Civil Engineering. 2014; 4:51-54. EDN SAZOLL. (rus.).

3. Tusnina O.A. Thermotechnical analysis of the structures by using numerical methods. Vestnik MGSU [Proceedings of Moscow State University of Civil Engineering]. 2013; 11:91-99. EDN ROWKFB. (rus.).

4. Tusnina V., Tusnin A., Alekperov R. Experimental and theoretical studies of the thermal efficiency of multilayer non-uniform building enclosures. Journal of Building Engineering. 2022; 45:103439.

5. Аbass F., Ismail L.H., Wahab I.A., Elgadi A.A. Development of a Model for OTTV and RTTV based on BIMVPL to Optimize the Envelope Thermal Performance. IOP Conference Series: Materials Science and Engineering. 2020; 713(1):012009. DOI: 10.1088/1757-899x/713/1/012009

6. Najjar M.K., Rosa A.C., Hammad A.W.A., Vaz-quez E., Evangelista A.C.J., Tam V.W.Y. A regression-based framework to examine thermal loads of buildings. Journal of Cleaner Production. 2021; 292:126021. DOI: 10.1016/j.jclepro.2021.126021

7. Dino I.G., Sari A.E., Iseri O.K., Akin S., Kalfaoglu E., Erdogan B. et al. Image-based construction of building energy models using computer vision. Automation in Construction. 2020; 116:103231. DOI: 10.1016/j.autcon.2020.103231

8. Schukina T., Kurasov I., Drapaliuk D., Popov P. Improving the energy efficiency of buildings based on the use of integrated solar wall panels. E3S Web of Conferences. 2021; 244:05009. DOI: 10.1051/e3sconf/202124405009

9. M’ziane M.C., Grine A., Younsi Z., Touhami M.S.K. Modelling and Numerical Simulation of a Passive Wall Incorporating a Phase Change Material. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences. 2021; 79(1):169-181. DOI: 10.37934arfmts.79.1.169181

10. Stonkuvienė A., Bliūdžius R., Burlingis A., Ramanauskas J. The impact of connector’s thermal and geometrical characteristics on the energy performance of facade systems. Journal of Building Engineering. 2021; 35:102085. DOI: 10.1016/j.jobe.2020.102085

11. Zhang F., Ju Y., Santibanez Gonzalez E.D.R., Wang A., Dong P., Giannakis M. A new framework to select energy-efficient retrofit schemes of external walls: A case study. Journal of Cleaner Production. 2021; 289:125718. DOI: 10.1016/j.jclepro.2020.125718

12. Protasevich A.M., Leshkevich V.V. Calculation of the temperature field of multilayer enclosing structures with heat-conducting inclusions using the finite element method. Energy Efficiency. 2013; 10:16-20. (rus.).

13. Švajlenka J., Kozlovská M., Vranay F., Poši-váková T., Jámborová M. Comparison of laboratory and computational models of selected thermal-technical properties of constructions systems based on wood. Energies. 2020; 13(12):3127. DOI: 10.3390/en13123127

14. Ghedhab M.E., El Abbassi I., Absi R., Mélinge Y. Numerical study of the effect of DSF walls geometrical shape on heat transfer. E3S Web of Conferences. 2020; 170:01005. DOI: 10.1051/e3sconf/202017001005

15. Al-Sanea S.A., Zedan M.F. Effect of thermal bri-dges on transmission loads and thermal resistance of building walls under dynamic conditions. Applied Energy. 2012; 98:584-593. DOI: 10.1016/j.apenergy.2012.04.038

16. Shaik S., Nagaraju S., Rizvan S.M., Gorantla K.K. Optimizing Vertical Air Gap Location Inside the Wall for Energy Efficient Building Enclosure Design Based on Unsteady Heat Transfer Characteristics. Advances in Intelligent Systems and Computing. 2020; 1003-1009. DOI: 10.1007/978-981-15-0035-0_80

17. Kozlov V.V. Accuracy of calculation of the resistant resistance of heat transfer and temperature fields. Building and Reconstruction. 2018; 3(77):62-74. EDN UTKMBM. (rus.).

18. Fedorov S.V., Terekhova I.A. Evaluation of the correctness of thermal calculations of enclosing structures using the finite element method. Applied Mathematics and Fundamental Informatics. 2017; 4(1):31-42. EDN YZKCZN. (rus.).

19. Tusnina V.M., Fayzov D.Sh. To the issue of thermo-technical calculation of non-uniform enclosing structures of buildings. Industrial and Civil Engineering. 2017; 4:19-24. EDN YKPDKR. (rus.).

20. Solovyev A.K., Tusnina O.A. A comparative thermal analysis of systems of the upper daylight (clerestory and daylight guidance system). Magazine of Civil Engineering. 2014; 2(46):24-35. DOI: 10.5862/MCE.46.4. EDN RZTSEL. (rus.).


Review

For citations:


Tusnina O.A., Tusnina V.M. Assessment of the thermal efficiency of external vertical building enclosures. Vestnik MGSU. 2026;21(1):67-83. (In Russ.) https://doi.org/10.22227/1997-0935.2026.1.67-83

Views: 185

JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1997-0935 (Print)
ISSN 2304-6600 (Online)