Ontario Power Generation
Ontario Power Generation deploys AI-based predictive maintenance with AVEVA solutions
One of North America's largest clean energy producers, Ontario Power Generation (OPG) supplies about 50% of the electricity generated in the province of Ontario. OPG deployed AVEVA PI System and AVEVA Predictive Analytics across its renewable and nuclear fleet to implement AI-based condition-based maintenance. The company wanted to move from reactive operations and maintenance models to predictive and prescriptive ones in order to improve plant availability, reliability and safety in a high-risk operating environment. AVEVA, OPG's trusted partner on its digital transformation journey, supports this behavioral change and helps deliver safe, reliable, clean and sustainable energy to customers across the province.
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FAQ
How did AVEVA PI System and Predictive Analytics deliver $4 million in savings at Ontario Power Generation?
Ontario Power Generation (OPG), which produces 50% of Ontario's electricity, deployed AVEVA PI System and AVEVA Predictive Analytics across its renewable and nuclear fleet. The solution generated up to $4 million in savings in 24 months, with more than 1,200 predictive and prescriptive maintenance models established. These models leverage data from thousands of sensors and enable OPG to move from reactive to predictive models, improving availability, reliability and safety.
Why deploy more than 1,200 predictive maintenance models at a nuclear power plant?
A nuclear power plant has thousands of critical pieces of equipment that require very precise monitoring. Each AVEVA Predictive Analytics model corresponds to a specific operating signature (pump, turbine, heat exchanger, valve) that detects early deviations. With more than 1,200 models, OPG has near-complete coverage of its fleet, making it possible to prevent failures before they affect production or safety. It is a standard for industrial maintenance in the highly demanding energy sector.
How can 3,000 hours of maintenance per year be eliminated with a condition-based approach?
AVEVA PI System and Predictive Analytics allow OPG to move from systematic scheduled maintenance to condition-based maintenance driven by the actual condition of equipment. The result: 3,000 hours of maintenance avoided each year, which can be redirected to higher-value corrective tasks. This reallocation of highly qualified staff boosts overall productivity and job satisfaction, two critical issues in a sector where nuclear skills are scarce.
What concrete gains can a single early detection deliver in nuclear and hydroelectric power?
At Ontario Power Generation, a single nuclear predictive analytics catch saved $400,000, and a single early hydroelectric alert generated $200,000 in savings. These figures illustrate the power of AVEVA predictive maintenance: a moderate investment in equipment modeling can prevent very costly unplanned shutdowns. Multiplied across the 1,200 models deployed, the cumulative benefits radically transform the operator's economic performance.
How does AVEVA support the cultural shift toward predictive maintenance?
Moving from reactive to predictive models requires a profound change in team behavior. OPG was looking for a trusted partner for this transformation. AVEVA combines technology (PI System, Predictive Analytics), industry expertise and hands-on support to drive adoption. Cloud systems connect the monitoring team with on-site operations teams, enabling live collaboration. This human dimension is as important as the technology in achieving a successful digital transformation in a highly demanding industrial environment.