Artificial intelligence is set to reshape how commercial buildings generate, store and deploy solar energy, following a landmark research partnership between Aussie Solar Batteries and the University of New South Wales (UNSW).
The collaboration will develop next generation, AI-enabled energy systems designed to optimise solar and battery networks across residential and commercial environments, with significant implications for facility managers overseeing energy performance, compliance and cost control.
At the centre of the agreement sits a major research and commercialisation project titled AI Enabled Smart Energy Hub for Virtual Power Plant Deployment in Residential and Commercial Solar Networks. The initiative forms part of the Federal Government funded Trailblazer for Recycling and Clean Energy program, known as TRaCE, led by UNSW in partnership with the University of Newcastle. Its purpose is clear, fast track advanced clean energy technologies from laboratory to live deployment.
For facility management professionals, the shift signals a move towards energy systems that think, forecast and adapt in real time.
From infrastructure to intelligence
Researchers from UNSW’s School of Electrical Engineering and Telecommunications will work alongside Aussie Solar Batteries to design and test AI-driven energy management platforms. These systems will use forecasting tools, demand side management, optimisation algorithms and digital twin modelling to coordinate distributed energy resources more efficiently.
In practical terms, this means commercial buildings equipped with solar PV and battery systems could respond dynamically to occupancy patterns, weather fluctuations and grid signals. Energy storage assets may discharge during peak tariff periods, recharge when supply is abundant and participate in virtual power plant programs that strengthen grid stability.
For facilities, teams under pressure to deliver measurable energy savings and emissions reductions, that level of automation and optimisation carries strategic weight. Instead of manually reviewing usage data and retrofitting controls, managers may soon oversee systems capable of continuous calibration.
Steven Yu, CEO of Aussie Solar Batteries, says the collaboration bridges the gap between research and operational deployment.
“This collaboration allows us to take world class research out of the lab and apply it directly in real homes and businesses,” Yu says.
“By combining UNSW’s AI and energy expertise with our large-scale deployment capability, we can accelerate smarter, more efficient solar and battery networks across Australia.”
Driving value across commercial portfolios
The partnership also pairs UNSW’s expertise in AI enabled energy management and distributed energy coordination with Aussie Solar Batteries’ experience installing and operating systems at scale in compliance with Australian electrical and safety standards.
For large commercial portfolios, shopping centres, healthcare facilities and industrial sites, virtual power plant participation presents an emerging revenue and resilience opportunity. Aggregated battery assets can support grid services while delivering financial returns, provided systems are intelligently managed.
Yu says a core objective of the project is to ensure technologies perform under real operating conditions. “There’s a significant gap between research and technology that actually works at scale,” he explains. “This project is about closing that gap and fast tracking solutions that improve reliability, reduce energy costs and unlock the full potential of virtual power plants.”
For facility managers navigating rising energy costs and sustainability targets, the message is clear. Solar infrastructure alone no longer defines leadership. Intelligent coordination and AI-driven optimisation shape the next phase of building performance.
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