200 Braddell Road Singapore 579700
Building and Construction Authority
Scalable and Smart Building Energy Management Systems
- Project Key Words:
- Hierarchical distributed token-based， reducing energy consumption in HVAC system，fault diagnosis
- PI:
- Dr. Su Rong
- Organization:Nanyang Technological University
- Designation:Associate Professor
- Project Period:
- 07/01/2016 To 12/07/2020
- Project Description:
- Novelty of Proposal:
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.Research Challenges:
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.
- Lead Organization:
- Nanyang Technological University
- Project Impact
- 1. A scalable HVAC scheduling approach for large buildings, taking indoor air quality and human thermal comfort into account.2. Real-time model identification for fast model update and fault diagnosis.3. Simple and affordable technology realization, allowing plug-and-play building retrofitting.
- Project status:
- On-Going Completed Terminated
- Project Outcomes:
-
1. A token-based HVAC scheduling software tool
2. A model identification software tool for autonomous performance improvement and fault diagnosis
3. A test bed development and system validation
4. Manpower training and publications
