Case Study: Hafslund Eco achieves 50% shorter turbine maintenance downtime and avoids €1.1M revenue loss with Visplore

Hafslund Eco cuts turbine maintenance downtime by 50% with Visplore

Hafslund Eco, a hydropower producer operating over 80 plants in Norway, faced a critical challenge with a potentially failing turbine bearing. After a sudden and persistent temperature rise was observed, their engineers needed to determine if it was a sign of imminent failure to avoid a costly unplanned outage. Using the analytics software Visplore, which connected directly to their AVEVA PI historian, they aimed to analyze years of sensor data to diagnose the issue.

Visplore enabled the engineers to quickly compare hundreds of historical turbine startups, clearly revealing an abnormal and worsening temperature pattern. By correlating data, they identified a technical root cause and scheduled a planned repair. This data-driven decision shortened the maintenance downtime by 50% (from 6 to 3 weeks) and avoided an estimated €1.1 million in revenue loss. The team at Hafslund Eco confirmed that the Visplore solution successfully resolved the problem and has significant potential for their other turbines.

Hafslund Eco