Thermal Performance of Multilayer Building Wall Systems Using Analytical and Numerical Models

The thermal performance of multilayer building wall systems under variable outdoor temperature conditions is an important factor in evaluating building energy efficiency and indoor thermal comfort. This study presents a simplified analytical formulation based on the classical transient heat conduction theory together with a numerical model based on the finite difference method (FDM) implemented in the MATLAB R2026a (Update 5) environment. The analysis includes five types of multilayer wall systems with different structural compositions and thermal masses, combined with three thermal insulation materials (expanded polystyrene (EPS), mineral wool, and aerogel) and various insulation thicknesses, resulting in a total of 55 wall assembly configurations. The investigated wall systems are evaluated using the thermal transmittance coefficient (U-value), decrement factor, time lag, maximum heat flux, and the temporal variation in the interior wall surface temperature. The results demonstrated that the dynamic thermal behavior of multilayer wall systems depends on the combined effects of the thermal mass of the load-bearing layer, the type and thickness of the thermal insulation, and the thermophysical properties of the constituent materials. The comparison between the analytical formulation and the MATLAB simulations demonstrates consistent trends in the predicted thermal behavior of the investigated wall systems, supporting the applicability of the proposed analytical–numerical approach for the preliminary assessment of the thermal performance of multilayer building wall systems.

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Publication Details

Journal
Sustainability
Published
2026-08-26
DOI
https://doi.org/10.3390/su18178744
Primary Topic
Building Energy and Comfort Optimization
Type
article
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article

Thermal Performance of Multilayer Building Wall Systems Using Analytical and Numerical Models

Enis Hasanbegović, Milena Krklješ, Anka Starčev-Ćurčin, Vesna Bulatović et al.
Sustainability
Building Energy and Comfort Optimization
article

Thermal Performance of Multilayer Building Wall Systems Using Analytical and Numerical Models

Enis Hasanbegović, Milena Krklješ, Anka Starčev-Ćurčin, Vesna Bulatović, Ema Tahirbegović, Lejla Zećirović, Jasmin Suljević
article en

Abstract

The thermal performance of multilayer building wall systems under variable outdoor temperature conditions is an important factor in evaluating building energy efficiency and indoor thermal comfort. This study presents a simplified analytical formulation based on the classical transient heat conduction theory together with a numerical model based on the finite difference method (FDM) implemented in the MATLAB R2026a (Update 5) environment. The analysis includes five types of multilayer wall systems with different structural compositions and thermal masses, combined with three thermal insulation materials (expanded polystyrene (EPS), mineral wool, and aerogel) and various insulation thicknesses, resulting in a total of 55 wall assembly configurations. The investigated wall systems are evaluated using the thermal transmittance coefficient (U-value), decrement factor, time lag, maximum heat flux, and the temporal variation in the interior wall surface temperature. The results demonstrated that the dynamic thermal behavior of multilayer wall systems depends on the combined effects of the thermal mass of the load-bearing layer, the type and thickness of the thermal insulation, and the thermophysical properties of the constituent materials. The comparison between the analytical formulation and the MATLAB simulations demonstrates consistent trends in the predicted thermal behavior of the investigated wall systems, supporting the applicability of the proposed analytical–numerical approach for the preliminary assessment of the thermal performance of multilayer building wall systems.

SustainabilityVol. 18(17)
University of Novi Sad (RS), State University of Novi Pazar (RS)
Affordable and clean energy
Openalex Percentile: Top 13%
Building Energy and Comfort Optimization
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