200 Braddell Road Singapore 579700
Building and Construction Authority
1. Highly scalable HVAC scheduling algorithm, taking indoor air quality and human thermal comfort into account.
2. Efficient system identification and fault diagnosis techniques.3. Simple and affordable realization for plug-and-play retrofitting.
4. A realistic test bed at NTU S1-B1 and S1-B2 for illustration.
Objectives of Project:
1. To develop a hierarchical distributed token-based HVAC scheduling approach, for reducing energy consumption in commercial building HVAC systems.
2. To develop real-time model identification techniques, which enables plug-and-play simple building retrofitting and autonomous performance improvement.
3. To develop fault tolerance capabilities via identification.
4. To develop a test bed to validate the energy-saving potential of developed technologies.
1. Scalability of HVAC scheduling.
2. Identification via noisy and scattered measurements.
3. Realization of enabling technologies in an IoT framework.
4. Real-time data acquisition and communication issues for IoT-based building automation.