As the sector reflects on the recent Australia Energy Week conference, several key themes and trends echoed those seen internationally.
Australia’s energy transition challenge mirrors those seen in a number of countries.
While much of Australia’s current renewable generation is at domestic level, the total volume of renewables is on a trajectory similar to a number of European comparators, particularly the UK, Germany and Spain – and one theme that resonates across all those markets is the value unlocked across the energy trilemma by network monitoring and advanced analytics.
This trilemma requires Network Operators to unlock more network capacity and deliver improved supply reliability at a price affordable to energy customers.
Reliability – a growing concern
Improving network reliability is a growing political concern driven by our increased dependency on electricity to power modern life.
Protracted or widespread loss of supply is no longer acceptable and regulators across developed economies are re-evaluating their assessment of the value of lost load to more fully reflect the public’s concern around storms and general supply reliability.
Extreme weather events coupled with the need to deliver ever more capacity for both economic growth and decarbonisation are putting grids under pressure.
The UK and German network operators are deploying network sensors across the voltage levels and using advanced analytics to get real-time insights into asset health, load patterns and to identify emerging network faults before they cause outages. Australia is well placed to select and deploy the most successful of these strategies to leverage similar solutions and boost grid resilience to meet rising public and regulatory expectations.
Managing a changing grid
Capacity constraints are intensifying as distributed energy resources (DERs) and low-carbon technologies, such as solar and electricity storage reshape Australia’s networks.
Advanced analytics enable transformers and networks to safely handle variable loads while maintaining reliability. For low- and high-voltage networks, real-time insights into customer consumption and asset limits are critical, especially with fast-switching inverter loads.
In Victoria, where rooftop solar penetration is among the highest globally, analytics-driven solutions are essential for managing grid constraints. The UK’s use of low-voltage (LV) data to pinpoint bottlenecks provides a reference, but Australia’s decentralised energy landscape requires localised, data-rich strategies. Network operators can now access the sensors and predictive analytics needed to successfully anticipate demand surges and optimise capacity, ensuring stability amid rapid electrification.
Unlocking value through data insights
Affordability is pivotal to successfully managing the energy transition, which is reflected in Australia’s objective to scale renewables without burdening consumers.
Around 80 per cent of the transformers cables and overhead lines that will make up Australia’s 2050 grid are already in service today and must operate ever more efficiently to support both capacity growth and resilience.
Advanced analytics, paired with real-time monitoring, maximises asset performance by unlocking additional capacity and provides the data and knowledge for faster fault response as well as improved operational and investment decisions.
The Australian Energy Regulator (AER) emphasises cost-effective grid management in its reports, advocating for technologies that optimise Australia’s existing assets while planning for future demand. By embracing these proven technologies network operators can lower customer bills delivering the Australian Energy Market Commission’s ambitions on efficiency.
The UK’s proactive upgrades, driven by granular data insights, offer a blueprint, but Australia’s unique renewable mix demands tailored, analytics-led solutions.
Global lessons and opportunities
By adopting technologies that deliver benefits across the trilemma Australia can invest once and jump start its grid transition integrating the predictive management of load, voltage and resilience.
Scalable solutions, such as AI-powered fault prediction and asset health analytics have been proven to bring significant benefits, particularly in areas such as the UK, where that technology is deployed at network scale by network operators.
This technology has assisted a 25 per cent real-terms reduction in customer bills while doubling resilience over the past ten years. Both the cost to serve and supply reliability continue to improve as these systems encompass more asset types and grow in sophistication.
In Australia, real-time data and predictive models, backed by innovation funding, can deliver similar gains and help operators make smarter, faster choices for a renewable-rich grid.
As a leading economy with a fantastic record in the growth of renewable generation, Australia’s push toward a sustainable energy future can be further accelerated by learning from its global peers, and its ambition of solving the trilemma is both attainable and affordable.
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