Singapore Building and Construction Authority Awarded S$5 Million R&D Grants for Smart and Green Building Technology
Innovation Challenge Call – Advancing Net Zero through Smart Building Technologies
In January 2019, Singapore Building and Construction Authority (BCA) awarded S$5 million in grants to eight Research and Innovation (R&I) projects under its Innovation Challenge Call – Advancing Net Zero through Smart Building Technologies. As Smart building technology is identified as a key technology area under BCA’s Super Low Energy (SLE) Technology Roadmap, the projects supported will accelerate the development and test-bedding of innovative smart building solutions to advance the national green building agenda towards SLE.
Launched in July 2018, the Innovation Challenge Call placed great emphasis on technologies that are close to market adoption, encourages industry’s participation in co-innovation and drives R&D solutions towards commercialisation. As a result, six out of the eight projects supported are led by industry firms including local small and medium enterprises (SMEs) and Multinational Corporations (MNCs) with capabilities and track records to bring the technologies to market. All the technologies will be demonstrated in an operational environment in actual buildings.
These projects will be funded by National Research Foundation (NRF) under the Green Buildings Innovation Cluster (GBIC) programme.
Projects Awarded
A brief description of the awarded projects is as follows.
|
No. |
Project Title |
Lead Principal Investigator/ Organisation |
Technology Category |
Brief Description |
|
1 |
Self-Diagnosis and Self-Healing Indoor Air Quality Sensor Network to Enhance Effectiveness of Demand-Controlled Ventilation |
Dr Cui Shan/ A*STAR, National Metrology Centre |
Sensors and controls |
A sensor system that uses advanced data analysis and artificial intelligence to detect users’ demand and control the ventilation and indoor air quality in the building. |
|
2 |
Internet of Things-based Smart Building and Digital Twin - An Integrated and Adaptive Control Solution
|
Dr Lin Wujuan/ Hitachi Asia Ltd
|
Integrated solutions for building management |
A smart building platform which learns and coordinates the control of multiple building subsystems to minimise energy consumption in a building based on the change of weather, occupant presence and density, and personal comfort |
|
3 |
On-line Smart Air-Balancing System for Net Zero Energy Buildings
|
Dr Zhang Xin/ NTU
|
Advanced data analysis and control |
A low-cost, high-performance on-line smart air balancing system that minimises energy consumption in the air ventilation system via data-driven, artificial intelligence and IoT.
|
|
4 |
Plant Detective: An Overlay Solution for Load Disaggregation
|
Mr Zhou Ziling/ Ampotech Pte Ltd |
Measurement and verification |
A smart energy management system which uses the existing metering point(s) to detect the power consumption patterns of the pumps and chillers through advanced data analysis and machine learning, reducing the need for installation of sub-meters.
|
|
5 |
The Intelligent Work Space for Office and Retail Tenants
|
Mr Kenneth Lee/ Green Koncepts Pte Ltd |
Integrated solutions for building management |
An intelligent data-driven platform that uses IoT sensors and advanced analytics to create self-adaptive demand-based systems to help building owners improve energy efficiency and occupants well-being for office workspaces |
|
6 |
Development of Smart Control for A Sustainable Hot Water System Applying Artificial Intelligence |
Er. Tay Cher Seng/ Natflow Pte Ltd |
Advanced data analysis and control |
An intelligent hot water management system to reduce energy consumption and energy waste by learning the hot water and power consumption patterns in hotels. The system will also detect unusual events automatically and predict failures before they happen |
|
7 |
Development of Precision Airflow Meter to Optimise Energy Consumption in Air Distribution System
|
Er. Tay Cher Seng/ Natflow Pte Ltd |
Measurement and verification |
A system with optimal control, fault detection and diagnosis algorithms using real-time measurements to optimise energy consumption in an air distribution system. The system will enable continuous monitoring instead of it being done manually. |
|
8 |
IoT Facilities Management |
Mr Fuji Foo / Certis Technology Singapore
|
Integrated solutions for building management |
A smart facility management platform that leverages Building Information Modelling (BIM), IoT devices, cloud, big data and artificial intelligence to maximise energy savings and improve operational performance and maintenance in a building |
For more information on the projects and the GBIC programme, please contact Dr Yu Liming at yu_liming@bca.gov.sg.
