| Issue |
E3S Web Conf.
Volume 685, 2026
International Seminar on Livable Space (IS-LiVaS 2025)
|
|
|---|---|---|
| Article Number | 04005 | |
| Number of page(s) | 14 | |
| Section | Creation Process of Livable-Space | |
| DOI | https://doi.org/10.1051/e3sconf/202668504005 | |
| Published online | 14 January 2026 | |
Optimizing window design for natural ventilation in high-rise social housing toward livable space
1 Magister Student of Architecture Program, Department of Architecture, Faculty of Civil Engineering and Planning, Universitas Trisakti, Jakarta, Indonesia
2 Lecturer of Architecture and Urban Design, Department of Architecture, Faculty of Civil Engineering and Planning, Universitas Trisakti, Jakarta, Indonesia
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
The livability of compact high-rise social housing in tropical climates depends heavily on thermal comfort, particularly in units relying solely on natural ventilation. This study investigates how window design— specifically Openable Window Ratio (OWR) and Window Height Shading (WHS)—affects thermal comfort in naturally ventilated units of a public rental apartment in Jakarta. Using validated CFD simulations calibrated with real climate data at peak discomfort hours (13:00), thirty-six window variants were tested across three building levels (floors 4, 10, and 16). Thermal comfort was evaluated using the ASHRAE 55 standard with PMV, PPD, and thermal sensation metrics. Results show that a window design with 90% OWR and 100% WHS consistently improves thermal comfort across all heights, reducing PPD from over 80% to under 30%. Notably, even with single-sided ventilation—a common limitation in such housing—specific window configurations successfully shifted indoor conditions toward acceptable comfort thresholds. These findings provide actionable design guidelines for enhancing livable space in tropical high-rise social housing.
© 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.

