SCIENCE

Analytical solutions for boundary value problems of transport phenomena in the design of multilayer structures

  • 1 Kazan State Power Engineering University, Russia

Abstract

This article provides a systemic analysis of the application of analytical methods for solving differential equations of heat and mass transfer for the design of building envelopes in the context of modern energy efficiency requirements and the digitalization of the construction industry. It is demonstrated that analytical solutions remain critical for the design of multilayer walls and roofs, thermal stability and vapor permeability calculations, and the verification of BIM models and smart home systems. A review of classic and new analytical results from 2015–2025 is presented, including the use of physically-informed neural networks (PINN) for real-time thermal protection optimization. Examples of implementation in regulatory documents, software, and microclimate management systems are provided.

Keywords

References

  1. International Energy Agency. Energy Efficiency 2023. Paris: IEA Publications, 2023. 250 p.
  2. SP 50.13330.2012. Thermal Protection of Buildings. Updated Version of SNiP 23-02-2003. Moscow: Ministry of Regional Development of the Russian Federation, 2012. 96 p.
  3. ASHRAE Standard 90.1-2022. Energy Standard for Buildings Except Low-Rise Residential Buildings. Atlanta: ASHRAE, 2022. 284 p.
  4. Fokin, K.F., Thermal Engineering of Building Envelopes. 5th ed. Moscow: AVOK-PRESS, 2006. 256 p.
  5. Shklover, A.M., Heat Transfer under Periodic Thermal Effects. Moscow: Gosenergoizdat, 1961. 160 p.
  6. Vasiliev, B.F., ―Field Studies of the Temperature and Humidity Regime of Panel Walls.‖ Moscow: Stroyizdat, 1965. 176 p.
  7. Tabunshchikov, Yu.A., Brodach, M.M., ―Mathematical Modeling and Optimization of Thermal Efficiency of Buildings.‖ Moscow: AVOK-PRESS, 2002. 194 p.
  8. Lykov, A.V., ―Transfer Phenomena in Capillary-Porous Bodies.‖ Moscow: GITTL, 1954. 296 p.
  9. Ilyinsky, V.M., ―Structural Thermal Physics (Enclosing Structures and Microclimate of Buildings‖). Moscow: Vysshaya Shkola, 1974. 320 p.
  10. Google Nest Labs. Energy Savings White Paper 2023. Mountain View: Google LLC, 2023. 48 p.
  11. Siemens Smart Infrastructure. Desigo CC Performance Report 2024. Zug: Siemens AG, 2024. 64 p.
  12. Tariku F., Kumaran K., Fazio P. Transient model for coupled heat, air and moisture transfer through multilayered porous media // International Journal of Heat and Mass Transfer. 2015. Vol. 78. P. 1207–1220.
  13. Zukowski M. Analytical model of heat transfer in electric floor heating systems // Applied Thermal Engineering. 2019. Vol. 150. P. 681–689.
  14. Qiu X., Haghighat F. Optimization of vapor retarder position in building envelopes: A variational approach // Building and Environment. 2020. Vol. 182. Article 107117.
  15. Gagarin V.G., Kozlov V.V. On the calculated position of the vapor barrier in multilayer enclosing structures // AVOK. 2004. No. 2. pp. 56–61.
  16. Mazzeo D., Oliveti G., Arcuri N. Analytical model for dynamic thermal characteristics of sandwich panels // Applied Thermal Engineering. 2021. Vol. 184. Article 116276.
  17. Zhang L., Wang Y., Chen X. Physics-informed neural networks for moisture transfer in building envelopes // Building Simulation. 2022. Vol. 15, No. 6. P. 1047–1062.
  18. Poli R., Mazzarella L. DeepONet-based rapid optimization of multilayer wall configurations // Energy and Buildings. 2023. Vol. 285. Article 112901.
  19. Wang Z., Hong T. Reinforcement learning for building HVAC control using physics-based models // Applied Energy. 2024. Vol. 355. Article 122245.
  20. Cranmer M. Interpretable machine learning for science with PySR and SymbolicRegression.jl. arXiv preprint arXiv:2305.01582, 2023.
  21. Fast P., Gaffikin J. Brock Commons Tallwood House: Construction and thermal performance // Journal of Architectural Engineering. 2018. Vol. 24, No. 3. Article 05018003.
  22. Favoino F., Jin Q., Overend M. Design and control optimization of adaptive insulation systems for office buildings // Applied Energy. 2023. Vol. 330. Article 120356.
  23. Baetens R., Jelle B.P., Gustavsen A. Aerogel insulation for building applications: A state-of-the-art review // Energy and Buildings. 2011. Vol. 43, No. 4. P. 761–769.
  24. Alam M., Singh H., Limbachiya M.C. Vacuum Insulation Panels for building construction: A review // Renewable and Sustainable Energy Reviews. 2011. Vol. 15, No. 8. P. 3897– 3908.
  25. Li Y., Fu Q., Yu S. et al. Optically transparent wood: Recent progress and opportunities // Advanced Optical Materials. 2020. Vol. 8, No. 1. Article 1901939.
  26. Nika D.L., Balandin A.A. Phonons and thermal transport in graphene // Reports on Progress in Physics. 2017. Vol. 80, No. 3. Article 036502.
  27. Siemens. Building Digital Twins: From concept to reality. Siemens White Paper. Zug: Siemens AG, 2024. 32 p.
  28. Künzel H.M., Zirkelbach D. Long-term hygrothermal performance of building envelopes: Experimental validation // Journal of Building Physics. 2023. Vol. 46, No. 4. P. 387– 405.
  29. Hao Z., Liu S., Zhang Y. et al. Physics-informed machine learning: A survey on problems, methods and applications. arXiv preprint arXiv:2211.08064, 2022.
  30. Cao Y., Romero J., Aspuru-Guzik A. Potential of quantum computing for drug discovery // IBM Journal of Research and Development. 2018. Vol. 62, No. 6. P. 6:1– 6:20..

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