Advancing HVAC Quality and Performance through State-of-the-Art Sensing Technology

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.

Authors

Institutions

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-27
DOI
https://doi.org/10.22214/ijraset.2025.71300
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advancing HVAC Quality and Performance through State-of-the-Art Sensing Technology

Mohammad Attallah
International Journal for Research in Applied Science and Engineering Technology
Building Energy and Comfort Optimization
article

Advancing HVAC Quality and Performance through State-of-the-Art Sensing Technology

Mohammad Attallah
article en

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.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Purdue University West Lafayette (US)
Purdue University
Openalex Percentile: Top 88%
Building Energy and Comfort Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.