Theme B: Smart Technologies for Agile, Intelligent, Efficient and Resilient Buildings

This theme aims to develop and integrate smart technologies to realize our vision of intelligent, adaptive and agile buildings. The research focuses on: (a) support the diverse and uncertain demands of occupants while minimizing energy usage, (b) enable intelligent and energy efficient control of the air-conditioning and mechanical ventilation (ACMV) and lighting systems, (c) adaptively manage the distributed energy resources such as energy storage, renewables, back-up generators and flexible load demand to assure resilience, and (d) interface with the utility grid to provide value-added ancillary services from communities of buildings.

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Projects in this Research Area

Theme B: Smart Technologies for Agile, Intelligent, Efficient and Resilient Buildings

Recent News

  • The Straits Times: Feature on Professor Panda's SEOS Technology

    The Straits Times featured Prof Panda’s team work in developing smart socket system for plugged-in devices. In this Tech News item, the innovative Smart Electrical Outlet/Socket (SEOS) technology developed under the SinBerBEST programme was described as having the capability to provide users to remotely switch off appliances or even configure user’s electrical sockets to automatically shut down gadgets that draw too much power.

  • NUS Faculty of Engineering: Smart Electrical Outlet/ Socket Technology

    NUS Faculty of Engineering: Smart Electrical Outlet/ Socket Technology

    The innovative Smart Electrical Outlet/Socket (SEOS) technology developed at National University of Singapore (NUS) under the SinBerBEST programme by Associate Professor Sanjib Kumar Panda's team was featured by NUS Faculty of Engineering in the article "Smart sockets for a smarter nation". Congratulations to the team for their commercialization efforts to produce real-world impact from SinBerBEST research. Complete article can be accessed here. 

  • Prof. Panda Promoted to IEEE Fellow

    Prof. Panda Elected to IEEE Fellow

    Congratulations to Dr. Sanjib Kumar Panda who has been elevated to IEEE Fellow for contributions to iterative learning control of motor drives.