Project Details
Abstract
This project aims to develop a data-driven, real-time HVAC management platform focusing on improving thermal energy performance and indoor environmental quality (IEQ). The platform utilizes advanced sensing technologies to monitor indoor environmental conditions such as temperature, relative humidity, and indoor pollutants, by incorporating predictive analytics to dynamically adjust HVAC operations. Environmental data, such as outdoor weather forecasts, will be integrated into the system to optimize energy use, improve occupant comfort, and ensure acceptable indoor air quality. The system will utilize AI-driven automation to enhance operational efficiency while maintaining data privacy and security.
Submitting Institute Name
Hamad Bin Khalifa University (HBKU)
| Sponsor's Award Number | QEE314-ENVTC-0125-IEQ-025 |
|---|---|
| Proposal ID | QEERI-CORE-000025 |
| Status | Active |
| Effective start/end date | 1/01/25 → 31/12/27 |
Primary Theme
- Sustainability
Primary Subtheme
- SU - Environmental Protection & Restoration
Secondary Theme
- None
Secondary Subtheme
- None
Keywords
- Thermal Comfort
- Indoor Environment
- HVAC Solutions
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