Year: 2025
Type: article
Abstract: This study explores the integration of advanced sensing technologies into HVAC systems to improve efficiency and performance, with a focus on Northwest Indiana casinos. The project addresses challenges faced by traditional systems, such as inconsistent temperature control, high energy consumption, and poor air quality, which impact guest comfort and operational costs. Using a controlled testing environment and EnergyPlus simulation software, the research modeled casino-specific HVAC loads while incorporating IoT-enabled sensors, infrared thermal imaging, and AI-based optimization. Infrared cameras identified inefficiencies such as air leaks and duct blockages, while Schlieren imaging visualized airflow distribution to address zoning problems. Data was collected in 5-minute intervals across a 1-hour period to evaluate thermal comfort, airflow consistency, and energy use. Results demonstrate a 15% reduction in simulated energy consumption, enhanced airflow uniformity, and improved indoor air quality through better ventilation control. This research highlights the potential for intelligent HVAC technologies to enhance sustainability, reduce operational costs, and elevate guest experiences in high-occupancy environments.
Author: Mohammad Attallah
Institution: Purdue University West Lafayette
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Funder: Purdue University
OpenAlex ID: W4410780707