This study introduces a system and method designed to enhance the ventilation within buildings. Buildings in hot and arid climates, such as Rajasthan, India, frequently experience poor thermal comfort due to the high sun radiation and limited airflow. While prior research has assessed the passive cooling capability of classical components, like jaalis and perforated facades, these assessments were essentially static and relied on empirical or simulation-based analysis. The current work describes a revolutionary real-time adaptive system that uses Computational Fluid Dynamics (CFD) to simulate and optimize the ventilation by integrating environmental sensors and architectural data. Unlike previous studies, this system dynamically identifies the appropriate sizes, shapes, and placements of apertures, allowing for user-assisted or automatic modifications based on real-time climate conditions. The main innovation of the present study is the transformation of classic passive techniques into a responsive, data-driven design framework. The result is a scalable framework for integrating passive cooling strategies into contemporary design, improving the energy efficiency and thermal comfort, given the growing demand for such innovative solutions that enhance the natural ventilation and thermal regulation in modern structures.
Kalla et al. (Sat,) studied this question.