Energy Company Drives Innovation in Predictive Maintenance via Digital Transformation Program Case StudyCHALLENGE A leading European energy company wanted to move from reactive to proactive maintenance, taking a data-driven approach where predictive analytics define maintenance needs SOLUTION The customer deployed Aspen Mtell® on over 50 large assets in a refinery; the company is adding assets at a wind farm to reduce turbine maintenance costs BENEFITS With Aspen Mtell, the company was able to: • Reduce unplanned downtime • Avoid €4M - €5M in LPO (lost production opportunity) in 2019 and reduce maintenance costs • Detect five turbine gearbox failures in the wind farm with no false positives in savings €3M “ A very good result; very good numbers that confirm our business case

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