Enel
Enel strengthens the resilience of its assets with AVEVA solutions
Enel, the world's largest private renewable energy operator and electricity distributor, operates in 31 countries and serves more than 55.4 million homes and businesses. The group needed to reduce its greenhouse gas emissions, maximize asset availability by detecting potential failures before they occur, and extract value from all its data, including from remote assets, without overloading existing infrastructure. Enel deployed a complete suite including AVEVA PI System, AVEVA Predictive Analytics, AVEVA Edge Data Store, AVEVA APM and CONNECT data services, as part of a predictive maintenance approach. The benefits are considerable: 461 failures avoided and €47 million in losses averted through the remote predictive diagnostics center, 410,000 tCO2e saved over 24 months for the thermal fleet (equivalent to 95,635 gasoline-powered vehicles for one year), and 4,800 tCO2e avoided each year for the geothermal fleet, equal to the annual electricity consumption of 1,000 homes.
Integrated AVEVA software
AVEVA PI System
Enel uses AVEVA PI System with Predictive Analytics to monitor its global energy operations. This platform enables predictive maintenance of equipment and optimization of renewable electricity production.
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AVEVA CONNECT
Enel relies on AVEVA CONNECT to access its industrial data from the cloud. This solution facilitates collaboration between global sites and enables advanced analytics for performance optimization.
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Testimonials
FAQ
How does AVEVA support the decarbonization of a global energy group?
Enel, the world's largest private renewable energy operator, deploys AVEVA PI System, Predictive Analytics, Edge Data Store, CONNECT and APM to drive its decarbonization across 31 countries and 55.4 million customers. The integrated suite makes it possible to monitor assets, anticipate failures, capture the value of remote data and coordinate operations globally. This data platform has become the technological foundation of Enel's climate ambition and shows how AVEVA structures the ESG strategies of an energy major.
How can a remote predictive diagnostics center prevent 461 failures?
AVEVA Predictive Analytics, combined with PI System, powers Enel's remote predictive diagnostics center. The solution continuously monitors the operational signatures of assets, detects drifts that precede failures and alerts field teams days, weeks or months in advance. The result: 461 failures prevented and €47 million in losses avoided. It is one of the most advanced predictive maintenance use cases at the scale of a global energy group, demonstrating measurable and replicable ROI.
How does AVEVA Edge Data Store capture the value of remote assets without overloading infrastructure?
Enel needed to extract value from all its data, including from small, remote assets, without overloading the existing infrastructure. AVEVA Edge Data Store collects data locally, as close as possible to the equipment, preprocesses it and sends only relevant information to PI System and CONNECT. This edge-to-cloud architecture optimizes bandwidth, ensures resilience when offline and makes it possible to industrialize monitoring of thousands of small, isolated sites without disproportionate infrastructure investment.
What concrete environmental impact does the AVEVA platform have at Enel?
Over 24 months, AVEVA helped cut 410,000 tCO?e across Enel's thermal fleet, equivalent to 95,635 gasoline-powered vehicles driven for a year. For the geothermal fleet, 4,800 tCO?e are avoided each year, equivalent to the annual electricity consumption of 1,000 homes. These measurable environmental results show that predictive maintenance is not limited to financial gains but is also a major decarbonization lever, by avoiding emergency start-ups of backup thermal assets.
Why is AVEVA APM strategic for managing a global energy fleet?
At Enel, AVEVA APM (Asset Performance Management) consolidates the group-wide asset performance management strategy. The solution maximizes availability by detecting potential failures before they happen, optimizes maintenance programs and reduces operating costs. Combined with PI System, Predictive Analytics and CONNECT, APM creates a complete chain from data to decision, essential for an operator active in 31 countries with 55 million customers amid a demanding energy transition.