| Issue |
E3S Web Conf.
Volume 680, 2025
The 4th International Conference on Energy and Green Computing (ICEGC’2025)
|
|
|---|---|---|
| Article Number | 00070 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/e3sconf/202568000070 | |
| Published online | 19 December 2025 | |
Numerical Assessment of Thermal Performance in Hollow Clay Masonry: Continuous Insulation Layers versus Partial Cavity Fills
1 Laboratory of Optics, Information Processing, Mechanics, Energetics and Electronics, Department of Physics, Moulay Ismail University, B.P. 11201, Zitoune, Meknes, Morocco
2 Université de Franche-Comté, Institut FEMTO-ST, UMR6174, CNRS, 25000 Besançon, France
3 The Blackett Laboratory, Physics Department, Imperial College, London, SW7 2AZ, UK
* Corresponding author: ahla.alaoui@edu.umi.ac.ma
This study presents a comparative analysis of thermal retrofit strategies for hollow-clay-brick walls under high-intensity summer conditions. A numerical model coupling conduction, convection, and radiation simulates six configurations: an uninsulated wall, systems with 50 mm continuous extruded polystyrene (XPS) layers (external/internal), and full and partial cavity fills. The model is driven by a diurnal cycle with high ambient temperatures (25–45 °C) and significant solar irradiance. Results demonstrate a pronounced performance gradient. The continuous XPS layers are most effective, reducing thermal transmittance by 74% and providing superior dynamic performance. External XPS yields the largest thermal lag and smallest indoor swing while internal XPS offers comparable amplitude reduction. All cavity-fill strategies provide more modest U-value reductions (12–13%) and dynamic behavior similar to the reference wall. This work provides a critical dataset for selecting insulation strategies, concluding that continuous layers are optimal for peak performance, while cavity fills offer a viable supplementary or alternative solution where architectural constraints apply.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

