How can AI solve your production’s biggest challenge?
A customer success story on how to use artificial intelligence to optimize industrial production.
Alex Sas, Tersa:
"AI is a hot topic, but how could we seamlessly integrate it into our daily operations? That was our challenge. Within just 4 months, AI helped us achieve 30-35% steam savings—transforming how we generate electricity."
As the Waste-to-Energy (WtE) sector faces growing challenges like technological gaps and the need to improve efficiency, Tersa, a leading WtE facility in Barcelona, stands out as a beacon of innovation. Faced with the dual pressures of rising global waste and the need for enhanced efficiency, Tersa recognized that traditional methods were no longer sufficient. What they needed was a revolutionary approach—enter AG Solution’s AI-driven technologies.
The World Bank’s forecast of a 73% increase in global waste by 2050 underscores the urgent need for WtE facilities to innovate. Tersa, like many in the industry, needed to ensure that the boiler ducts were cleaned to comply with emissions regulations, but this process was manual and required boiler shutdowns that reduced electrical output, which meant less megawatts generated to trade. It was clear that to remain competitive and sustainable, Tersa needed to rethink its operational strategy.
Xavier Morera, Online Diagnostic Technician at Tersa:
"By using real-time data and algorithms, we pinpointed the exact cleaning times, saving energy and improving efficiency.AI wasn't just about automation; it was about gaining deeper insights into our production processes."
AG Solution brought a comprehensive suite of AI and machine learning technologies to Tersa’s plant, setting the stage for a transformation that would redefine their operations:
The Results: A New Standard for Waste-to-Energy
Tersa’s journey showcases the tangible benefits of integrating AI into WtE operations. The reduction in steam consumption, improved maintenance practices, and overall enhanced efficiency are not just wins for Tersa—they set a new standard for the industry. As global waste levels continue to rise, Tersa’s example demonstrates that innovation is not just desirable—it’s necessary for survival in a rapidly evolving industry.
Marc Gardella, Diagnostic Manager at Tersa:
"The insights we've gained have had an enormous positive impact—recovering more waste and producing more energy. AI has revolutionized how we approach decision-making, enabling us to maximize both our environmental and operational goals."
Tersa’s journey showcases the tangible benefits of integrating AI into WtE operations. The reduction in steam consumption, improved maintenance practices, and overall enhanced efficiency are not just wins for Tersa—they set a new standard for the industry. As global waste levels continue to rise, Tersa’s example demonstrates that innovation is not just desirable—it’s necessary for survival in a rapidly evolving industry.
Tersa’s experience is more than a case study; it’s a powerful example of how AI can drive meaningful change in the Waste-to-Energy sector. As the industry faces growing challenges, the lessons learned from Tersa’s transformation are invaluable for any facility looking to boost efficiency, reduce costs, and contribute more effectively to a sustainable future.
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Dive deeper into the Tersa case and discover the full potential of our AI solutions.
Dive deeper into the Tersa case and discover the full potential of our AI solutions.