AGL Energy is an integrated energy company that produces energy from thermal power, gas, wind power, hydroelectricity, gas storage, and battery storage. In recent years, the company has seen massive growth. Since 2010, AGL’s supply capacity grew from 300 megawatts of electricity generation in 2012 to over 10,000 megawatts in 2021. But through acquisition growth and increased renewable adoption, the company has also seen massive growth in its data. Using AVEVA™ PI System™, AGL centralized its time-series data from every generation site, so everyone across the organization has secure access to near-real-time data. AGL effectively built a data-driven culture where everyone is empowered to make changes that can improve many aspects of business performance, and ultimately, their customers’ experience.
“Our partnership with AVEVA has yielded significant operational value in data management, facilitating the delivery of operational insights and enhancing plant performance. The data is readily accessible, user-friendly, and available in real-time when necessary, empowering our sites to make informed operational decisions.”
–John Bruzzaniti, Head of Asset Intelligence, AGL
Goals
- Give teams across the organization access to real-time data
- Expand from real-time awareness to predictive modeling
- Share power generation data securely with partners, optimizing usage across distributed power generation sites
Challenges
- Rapid energy transition drives presented challenges managing data systems
- Needed high-resolution data to optimize operational performance, especially with aging infrastructure
- Needed to consolidate scattered and isolated data, with multiple SCADA technologies in play
Solutions
- Deployed AVEVA PI System to centralize data and deliver situational awareness of its operational portfolio
- Used CONNECT data services to securely share wind and solar generation data in the cloud with authorized partners in remote locations to gain insights into its power generation sites
Results
- Saved millions in avoided failures and maintenance costs
- Reduced data capture time from 10 mins to 1 sec across 200 wind turbines, helping optimize performance improvements and justify site-wide turbine upgrade.
- Benefited from positive ROI and payback, and enhanced efficiency performance as a result.
- Real-time wind power generation data from turbines is shared securely with 3rd parties to further optimize performance.
