Abstract
The article presents the mechanisms of heat exchange in building partitions along with a description of the phenomena occurring there. The methods of heat transport on selected examples of the construction of sandwich building walls were presented and discussed. A review of the methods allowing to determine the heat flux value by means of analytical methods and simulations based on numerical analyzes was carried out. The methodology of solving thermal problems has been presented, indicating the complexity of the phenomena occurring at the contact points of surfaces, for which the correct characteristics should be selected in more than one selected form of determining temperature distributions. Heat transport simulation was performed in ANSYS Fluent 2020 R2 software. The value of the heat flux density flowing through the outer wall of a single-family house located in Lublin, Poland was analytically determined. Three different structural wall solutions were adopted: one, two and three-layer. The obtained results were presented in a tabular manner, allowing for a clear verification of the correctness of the calculations performed with both selected methods.
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Reference15 articles.
1. Barnat-Hunek D., Lagod G., Klimek B.: Evaluation of the contact angle and frost resistance of hydrophobised heat-insulating mortars with polystyrene. AIP Conference Proceedings 1866, 2017, 040004.
2. Chong H., Wang H., Li E.: Update-grid reanalysis method based on NS-FEM for 3D heat transfer problems. Eng. Anal. Bound. Elem. 95/2018, 142–153, https://doi.org/10.1016/j.enganabound.2018.07.010].
3. Dz.U. 2013 poz. 926.: Rozporządzenie Ministra Transportu, Budownictwa i Gospodarki Morskiej z dnia 5 lipca 2013 r.
4. Furmański P., Domański R.: Wymiana ciepła. Przykłady obliczeń i zadania. Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa 2002.
5. Li Z. C., Cui X. Y., Cai Y.: Analysis of heat transfer problems using a novel low-order FEM based on gradient weighted operation. Int. J. Therm. Sci. 132/2018, 52–64, [https://doi.org/10.1016/j.ijthermalsci.2018.05.039].