Real AI in Action: How Tersa Optimized Steam Usage with AG Solution

In the face of rising efficiency and sustainability demands, Barcelona’s waste-to-energy company Tersa partnered with industrial digitalization experts AG Solution to implement a scalable, AI-powered solution.

The challenge: Tersa’s facility used a fixed 12-hour cleaning cycle for steam ducts, wasting valuable energy. They needed a smarter way to clean only when necessary, avoiding performance loss and steam overuse.

AG Solution deployed a real-time data system combined with AI algorithms trained on historical process data. The result: a predictive model that determines the optimal time for cleaning, integrated with Tersa’s control system for full automation.

The results speak for themselves:

• 40% reduction in steam used for cleaning

• 500 MWh more electricity generated per year

• 325 tons of CO₂ emissions avoided annually

• A manual process turned into autonomous decision-making

Beyond operational gains, the project brought deeper insights into the plant’s processes, opening the door for further innovation and sustainability.

Learn more about this case at IoT Solutions World Congress 2025. AG Solution will present the session “From Data Silos to AI-Driven Growth” on May 15 at 11:00h in the IOT Room, and exhibit their solutions at booth E17.