Sustainable and resilient multi-energy districts Creating renewable energy systems, smart grids and energy storage solutions for urban districts Sustainable and resilient multi-energy districts Integrated energy solutions are critical for the sustainability and resilience of urban districts This research track focuses on creating integrated solutions for urban districts, including renewable energy systems, smart grids, and energy storage to provide reliable and low-carbon power to densely populated areas. The work combines different areas of expertise such as using machine learning to predict energy demand, track how energy is used over time, and improve battery storage. Models are also developed to help different energy sources work together more efficiently and more reliably.
Sustainable redevelopment for urban resilience Innovating energy solutions to mitigate urban heat island effect Sustainable redevelopment for urban resilience Tropical cities need innovative energy solutions to tackle the rising temperatures. This research track prioritises passive cooling, low-energy solutions, and adaptive building reuse to mitigate the urban heat island effect. It involves optimising placement of energy generation and storage systems, assessing socio-economic impacts of decentralised renewable systems, and exploring sky radiative cooling as a renewable cooling solution for land-scarce cities like Singapore.
Sustainable digital infrastructure Developing strategies to enhance energy efficiency in digital infrastructure Sustainable digital infrastructure As digital infrastructure expands, so does its energy footprint. This research track enhances energy efficiency in computing and data centres through innovative cooling technologies, software optimisation for energy savings, and integration of renewable energy into computing operations. By combining thermal engineering, physics-based AI, and smart energy management, the research addresses the immediate environmental challenges posed by data centre operations and paves a sustainable pathway for future developments in the sector.
Data-driven energy strategy and policy Informing energy policies and planning leveraging data, AI and machine learning Data-driven energy strategy and policy Informed policies are key to optimising energy use. This research area focuses on leveraging big data, AI, and machine learning to inform and optimize energy policies and planning. The research studies energy usage patterns, explores ways to integrate renewable energy, and develops better models to support decision-making. To make energy markets and usage more efficient, the research explores policy levers to encourage people to use energy wisely, including designing incentive structures, and develop adaptive energy management systems for trading and managing electricity efficiently.
Sustainable industry and transportation Developing decarbonisation solutions for marine, aviation and land transport Sustainable industry and transportation Decarbonising the transport sector is essential for a green future. This research track develops solutions to make marine, aviation, and land transport more environmentally friendly. The research includes improving public transport to reduce energy consumption and emissions, developing smart travel solutions, and overcoming the key barriers to widespread adoption of electric vehicles. The work integrates expertise in fuel cell and battery design, cleaner fuel alternatives, and life-cycle analysis of clean transport.
