| Issue |
E3S Web Conf.
Volume 711, 2026
2026 2nd International Conference on Environmental Monitoring and Ecological Restoration (EMER 2026)
|
|
|---|---|---|
| Article Number | 02019 | |
| Number of page(s) | 5 | |
| Section | Ecological Restoration and Remediation | |
| DOI | https://doi.org/10.1051/e3sconf/202671102019 | |
| Published online | 19 May 2026 | |
Computational Fluid Dynamics Modelling of Passive Cooling in Earthquake-Resistant Low-Income Housing Using Sustainable Materials
1 Professor & Director, Kalinga University, India
2 National University of Science and Technology, Dhi Qar, Iraq
3 Al-Nisour University College, Nisour Seq. Karkh, Baghdad, Iraq
4 Al-Manara College for Medical Sciences/ (Maysan)/Iraq
5 Al-Zahrawi University College, Karbala, Iraq
6 Mazaya university college/Iraq
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
This study develops a Computational Fluid Dynamics (CFD) model to evaluate passive cooling and seismic resilience in low-income housing using sustainable materials: compressed stabilized earth blocks (CSEB, ~0.75 W/mfK), bamboo (~0.12 W7mrK), and recycled insulation. Simulations analyze airflow, temperature, and heat transfer under tropical conditions (30-40°C, 1.5-3.5 m/s wind) with cross-ventilation, shading, and roof vents, plus structural assessment. Results show peak indoor temperatures 5-7°C above outdoor levels (38°C outdoor → 43-45°C baseline; 33-36°C with strategies), 4.2°C average reduction from combined ventilation vs. sealed baseline, and CSEB/bamboo walls 2-3°C cooler than concrete (1.4 W/m·K) due to lower conductivity/higher thermal mass. Cooling Effectiveness Index (CEI) ranged 0.55-0.72, demonstrating enhanced thermal comfort and earthquake resistance without mechanical cooling.
© 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.