Harnessing AI for Reliable Energy Generation

Stockholm Exergi operates major facilities, including heat pump plants that recover heating and cooling from seawater and effluent. To maintain optimal performance, the company turned to Prexello’s machine learning algorithms integrated into Caverion Intelligence. This system continuously analyzes thousands of signals from its production processes, detecting any deviations that could lead to equipment failure or process disruptions.

By identifying anomalies early, operators can intervene in time to prevent production stoppages. “In the past, we received warnings only when subsystems exceeded alarm limits, requiring emergency maintenance. Now, with earlier alerts, we can optimize maintenance schedules and plan production more effectively,” explains Per Ljung, Head of Operations at Stockholm Exergi.

Prexello’s advanced algorithms have already demonstrated real results by improving operational productivity and reducing costs, while continuously learning from new data to optimize future performance.

Driving Stockholm Exergi’s Digital Transformation

Stockholm Exergi’s collaboration with Prexello and Caverion Intelligence marks a significant milestone in the company’s digitalization journey. By shifting from reactive maintenance to predictive, data-driven production, Stockholm Exergi is taking proactive steps to ensure a secure, environmentally sound, and cost-effective energy supply.

Ljung emphasizes the system’s long-term benefits: “This technology allows us to be one step ahead. We’ve already seen tangible improvements, and we have high expectations for future developments as the system evolves with use.”