An Advanced AI-enabled HVAC Control System: Towards Greener and Healthier Indoor Facilities in Vietnam
V-IndoorSMART is an AI-driven HVAC management platform for greener and healthier indoor facilities in Vietnam, integrating 3D indoor modeling, airflow simulation, environmental sensing, and real-time control to improve energy efficiency, occupant comfort, and pollutant control.
THE CHALLENGE
HVAC systems are essential for indoor comfort and air quality but consume significant energy, especially in multi-user facilities where occupancy, thermal load, airflow distribution, and pollutant levels vary dynamically.
THE SOLUTION
The project develops V-IndoorSMART, an AI-based HVAC management system that integrates real-time sensing, 3D indoor modeling, airflow and heat-transfer simulation, and reinforcement learning to dynamically adjust HVAC settings for energy saving, thermal comfort, and indoor air-quality control.
DIGITAL TWIN
FRAMEWORK
STRATEGIC OBJECTIVES
Create detailed 3D models of multi-user indoor spaces using mobile LiDAR sensor technology
Model airflow and heat transfer using CFD and physics-informed neural networks
Deploy sensors to continuously monitor indoor air-quality parameters including temperature, humidity, and particulate matter
Develop an AI-based HVAC management system that dynamically adjusts HVAC settings using real-time measurement data
Evaluate the V-IndoorSMART framework in controlled and real-world indoor environments
Improve energy conservation while maintaining occupant comfort and indoor air quality