| Issue |
E3S Web Conf.
Volume 674, 2025
The 14th Engineering International Conference “Achieving Sustainability through Digital Transformation and Technology Development” (EIC 2025)
|
|
|---|---|---|
| Article Number | 05002 | |
| Number of page(s) | 8 | |
| Section | Sustainable in the Built Environment and Architecture | |
| DOI | https://doi.org/10.1051/e3sconf/202567405002 | |
| Published online | 11 December 2025 | |
Numerical Analysis on the Cooling Performance of Vertical Greening as Natural Shading Devices
1 Civil Infrastructure Engineering and Architectural Design, Department of Civil and Planning, Vocational School, Universitas Diponegoro, Semarang, 50275, Indonesia
2 Mechanical Design Engineering, Department of Industrial Technology Department, Vocational School, Universitas Diponegoro, Semarang, 50275, Indonesia
3 Faculty of Integrated Technologies, Universiti Brunei Darusssalam, Jalan Tungku Link, Gadong BE1410, Brunei Darussalam
4 Dept. Computer Science, Electrical & Space Engineering, Luleâ University of Technology, SE-971 87, Luleâ, Sweden
* Corresponding author: ratihwidiastuti@lecturer.undip.ac.id
The phenomenon of an unstoppable force of urbanization decreases the quantities of natural vegetation, replacing them with concrete buildings and low albedo surfaces. The innovative design of building envelopes has been considered one of the leading solutions for decreasing environmental load, especially in design and construction as a passive design strategy. On the other hand, the use of vegetation on the vertical surface of buildings is rising. Through this study, a numerical analysis using Computational Fluid Dynamic (CFD) model of vertical greening system as a natural shading device was conducted. Several scenarios were conducted with distance as the principal parameter. The aim was to prove the contribution of green technology to improve the cooling performance of the building.
© 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.