Alinta Energy, an Australian energy provider delivering electricity, gas, and renewable energy solutions nationwide, has transformed data into a strategic advantage. By harnessing the power of AVEVA™ PI System™ and applying advanced descriptive analytics, the company has strengthened operational reliability, empowered its engineers with real‑time insight, and unlocked millions in annual value. What began as isolated use cases has evolved into a scalable digital foundation that enhances decision‑making and supports grid resilience for a smarter and more sustainable energy future.
Descriptive analytics allowed us to synthesise and consolidate raw data into AVEVA PI Vision screens. This provided the team with the insight they needed to make confident, data‑driven decisions.
-- Brandon Yong, IT-OT Strategy & Transformation Leader, Alinta Energy
Challenges
- Inability to easily synthesize and consolidate raw operational data for engineering decision‑making
- Needed to drive IT/OT convergence and data literacy across operations
- Limited operational visibility into efficiency gains from compressor unit washes at key Western Australia baseload cogeneration stations
- High risk of unplanned outages at a major gas‑fired peaker power station, threatening grid reliability during peak demand
Solution
- Alinta Energy modernized its data infrastructure by re‑architecting AVEVA PI System to establish a central, scalable foundation for real‑time operational insight. It strengthened IT‑OT collaboration by creating a community of practice to support adoption and continuous value delivery. Using AVEVA™ PI Vision™, PI analysis, event frames and notifications, Alinta transformed raw operational data into actionable intelligence that optimized maintenance, improved reliability, and reduced unplanned outages.
Results
- Increased user adoption more than 30x
- Enabled a data-driven culture across the organization
- Saved over AU$3 million to date through improved condition monitoring
- Extended wash cycles from two to three months, then three to six months, reducing maintenance frequency and downtime, saving over AU$1 million annually
- Reduced risk of unplanned bearing‑related outages, avoiding up to AU$2 million in lost revenue opportunities
- Avoided over AU$500,000 in unplanned hardware replacement and repair costs
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