Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Evaluating the impact of Jaali façades on building energy demand in Jaipur's hot semi-arid climate

Chaudhary, Divya Raj and Sharmin, Tania ORCID: https://orcid.org/0000-0001-6229-2035 2026. Evaluating the impact of Jaali façades on building energy demand in Jaipur's hot semi-arid climate. Sustainability 18 (8) , 3876. 10.3390/su18083876

[thumbnail of sustainability-18-03876.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Abstract

The rising demand for cooling in hot semi-arid cities like Jaipur is putting increasing pressure on energy infrastructure and urban resilience. This study investigates the potential of Jaali, a traditional perforated screen used in Indian architecture, as a passive strategy to reduce energy demand in a contemporary office building through data-driven optimisation and computational analysis. Using detailed energy simulations in DesignBuilder, this research explores how variations in orientation, cavity depth, perforation ratio and screen thickness affect cooling performance during the summer months through a systematic parametric study generating 84 simulation configurations. The model is based on a 12-storey office building designed according to local energy codes. The results show that the optimal configuration differs by orientation. On the south façade, the optimal combination is a 100 mm Jaali with 20% perforation and a 1.5 m cavity, which delivers the best performance. The west façade performs best with a thicker 150 mm screen, the same 20% perforation ratio, and a 1.0 m cavity depth. On the east façade, the strongest performance is achieved with a 150 mm Jaali, 50% perforation, and a 1.5 m cavity, with cooling demand reduction of up to 8.71%. These findings demonstrate that traditional design elements, when optimised for modern use, can offer measurable energy savings through predictive modelling frameworks. More importantly, their widespread adoption could support urban cooling strategies, reduce peak electricity loads and contribute to sustainable development across rapidly growing cities in hot climates. The comprehensive dataset generated provides a foundation for future AI-enhanced building energy optimisation applications.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Schools > Architecture
Publisher: MDPI
ISSN: 2071-1050
Date of First Compliant Deposit: 22 April 2026
Date of Acceptance: 26 March 2026
Last Modified: 22 Apr 2026 16:20
URI: https://orca.cardiff.ac.uk/id/eprint/186594

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics