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2D Computational Analysis of a Vacuum Glazing Installation in a Wood-Based Window Frame in the Context of the Linear Thermal Transmittance Ψg Cover

2D Computational Analysis of a Vacuum Glazing Installation in a Wood-Based Window Frame in the Context of the Linear Thermal Transmittance Ψg

By: Adam Blažo and  Milan Palko  
Open Access
|Jul 2025

Abstract

This study investigates the linear thermal transmittance coefficient Ψg of vacuum glazing when installed in a wooden window frame. Vacuum glazing is a promising technology for enhancing the energy efficiency of a building by eliminating convective and conductive heat transfer within a vacuum gap. However, thermal losses at the edge seal can significantly impact its overall performance. A 2D computational analysis was conducted to evaluate Ψg values for different vacuum glazing configurations and installation positions. Unlike previous studies, this research systematically analyzes the effect of the depth of an installation on Ψg and the internal surface temperature at the glazing-frame interface. The findings indicate that vacuum glazing with an indium-based edge seal exhibits Ψg values comparable to insulating glazing units with metallic spacers, while vacuum glazing with a glass fusion seal achieves lower Ψg values. Furthermore, the study emphasizes that increasing the depth of an installation significantly reduces Ψg and improves the distribution of the surface temperature, thereby mitigating the risk of condensation. These results provide valuable insights into optimizing the integration of vacuum glazing in wooden window frames and offer practical guidelines for enhancing thermal efficiency in building applications.

DOI: https://doi.org/10.2478/sjce-2025-0012 | Journal eISSN: 1338-3973 | Journal ISSN: 1210-3896
Language: English
Page range: 53 - 63
Published on: Jul 5, 2025
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Adam Blažo, Milan Palko, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution 4.0 License.