| Issue |
EPJ Web Conf.
Volume 371, 2026
9th International Congress on Thermal Sciences (AMT’2026)
|
|
|---|---|---|
| Article Number | 01015 | |
| Number of page(s) | 15 | |
| Section | Heat and Mass Transfer and Fluid Mechanics | |
| DOI | https://doi.org/10.1051/epjconf/202637101015 | |
| Published online | 22 May 2026 | |
https://doi.org/10.1051/epjconf/202637101015
Influence of Insulation Placement on the Hygrothermal Performance of Hemp Concrete Walls
1 LGEMS Laboratory, National School of Applied Sciences, Ibn Zohr University, Agadir, Morocco
2 Thermodynamics and Energetic Laboratory, Faculty of Sciences, Agadir, Morocco.
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 22 May 2026
Abstract
This study develops a coupled heat air moisture (HAM) model to assess the hygrothermal response of bio-based porous materials used in building envelopes. The numerical framework was first verified against HAMSTAD benchmark cases that explicitly account for the influence of air transport on moisture migration. The predicted fields show good agreement with the reference solutions, supporting the accuracy of the proposed implementation. The validated model was subsequently applied to a multilayer wall assembly integrating hemp concrete as a bio-based insulating layer. Temperature and relative humidity distributions were evaluated as a function of time and position across the wall under representative summer boundary conditions for Agadir, Morocco, characterized by a hot and dry climate. The simulations indicate that hemp concrete attenuates temperature fluctuations and moderates moisture variations within the envelope, which can contribute to improved indoor comfort and reduced moisture-related risks. Overall, the findings underline the suitability of hemp concrete as an energy efficient and durable insulation material for warm climates and highlight the added value of locally available bio-based resources for enhancing building environmental performance.
© The Authors, published by EDP Sciences, 2026
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.

