Completed/Current GBIC-Funded Projects

Toward Learning-based Thermal Comfort Models to Instill Behavioural Changes for Greener, Smarter and Healthier Buildings in the Tropics via Pervasive Sensing

Dr Wen Yonggang / Nanyang Technological University

Tracks building occupants’ thermal comfort with wearable devices like wristband and smart watches, to sense their vital signs.

Intelligent Building Automation and Analytics using Model-Predictive Control

Dr Wan Man Pun / Nanyang Technological University

Intelligent control system analyses a building’s energy efficiency.

Green Building Management System – An Open IoT Platform Approach

Dr Yuen Chau / Singapore University of Technology and Design

Collects real-time information on the building’s energy and water consumption, and analyses the collected data with patterns of human activities.

Real-Time Occupant Engaged Indoor Environmental Quality Monitoring and Controlling System using Wireless Sensor-Actuator Network for Smart Indoor Environments

Dr Pan Sanjib Kumar / National University of Singapore

Wireless network that “senses” the quality of an indoor environment.

Smart Solutions Promoting Behaviour Driven Energy Efficiency: A Personality-based Energy Management System

Dr Lu Yujie /National University of Singapore

Energy management system that takes into consideration its occupants/users’ behaviours and personalities.

Lifecycle BIM Integration with Energy MM&V for Net Zero Energy Building

Dr Shen Lijun / National University of Singapore

Measuring tools are used to “merge” or “integrate” a virtual three-dimensional model of a building with a model of its energy consumption. The proposed system will be validated against an on-going Net Zero Energy Building project in the National University of Singapore.

Scalable and Smart Building Energy Management Systems

Dr Su Rong / Nanyang Technological University

Smart energy management system.

Data-Driven Modelling and Real-Time Optimisation for Diversified Chiller Plants

Dr Zhang Zhenjie / Advanced Digital Sciences Center

Tracks and analyses real-time data from an air-con chiller plant, and identifies the patterns of human usage

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

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.

Internet of Things-based Smart Building and Digital Twin – An Integrated and Adaptive Control Solution

Dr Wujuan Lin / Hitachi Asia Ltd

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.

On-line Smart Air-Balancing System for Net Zero Energy Buildings

Dr Jack Zhang Xin / Nanyang Technological University

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.

Plant Detective: An Overlay Solution for Load Disaggregation

Mr Zhou Ziling / Ampotech Pte Ltd

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.

The Intelligent Work Space for Office and Retail Tenants

Mr Kenneth Lee / Green Koncepts Pte Ltd

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.

Development of Smart Control for A Sustainable Hot Water System Applying Artificial Intelligence

Er Tay Cher Seng / Natflow Pte Ltd

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.

Development of Precision Airflow Meter to Optimise Energy Consumption in Air Distribution System

Er Tay Cher Seng / Natflow Pte Ltd

A system with optimal control, fault detection and diagnosis algorithms using real-time measurements to optimise energy consumption in an air distribution system. This automatic system will enable continuous monitoring.

IoT Facilities Management

Mr Fuji Foo / Certis Technology Singapore

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.

3for2@UWCSEA

United World College of South East Asia

Demonstration of decentralised ventilation with the use of dedicated outdoor air system (DOAS) and decoupling of latent and sensible cooling with passive chilled beams for UWCSEA’s administration office space. This is integrated with DALI lighting systems and use of advanced building management system.

Intelligent Data Center Energy Management “iDCEM”

Racks Central Pte Ltd

Energy improvement works for existing data center provider which involves replacing existing air-cooled chillers with water-cooled magnetic levitation chillers, VSDs and smart valves for CRAC units, energy efficient UPS with lithium batteries and leveraging on BriQs machine learning software to optimise the systems.

Net Zero Energy SMU-X (AS2)

Singapore Management University

1st net zero energy building in the built up urban environment. The 24x7 facility will be adopting passive displacement cooling systems for their entire air-conditioning area, smart lighting systems and building automation systems for better monitoring and control with the use of occupancy sensors, converged power systems (CPS).

Towards Super Low Energy Buildings Keppel Bay Tower

Harbourfront One Pte Ltd

Retrofit of existing GM Platinum office building with demonstration of five different technologies that would help the building owner achieve Super Low Energy Building status. These include smart integrated sensors for fresh air control, smart activity-based lighting system, intelligent building control system, DC air-handling unit fan system, and intelligent cooling tower water management system.