Condition Monitoring for Statkraft - Enabling efficient maintenance (phase I)

PI System Condition Monitoring for Statkraft

The Client

Statkraft is Europe’s largest generator of renewable energy. The Group produces hydropower, wind power, solar power, gas-fired power and supplies district heating. Statkraft is a global company in energy market operations with 3600 employees in 16 countries.

The Challenge

The early detection system could only send alarms directly to the Dispatch Centers, without the possibility to instead direct attention and notifications right to the maintenance teams. This reduced the flexibility in handling risk for overload of information for the operators at the Dispatch Centers, and to effectively coordinate maintenance actions. The visualization tools for the Dispatch Centers had low flexibility. The user experience was not optimal, the maintenance team could only visualize data for a period of 3 years and do trending of one signal at the time.

Enabling data-driven projects

Implemented an OSIsoft PI System Solution to collect, store, consolidate and centralize sensor-based data.

Visualization and scalability

Utilizing the PI System and PI Vision as an alternative visualization tool for the maintenance teams. Generic Template structures and Dashboards, built for large scaling.

Early notifications

Traffic light system as early detection for component level, unit level and site level.

Integration to SAP PM

Integrating the PI System with SAP PM to automatically generate work orders in SAP PM at pre defined alarm levels.

PI System Data Infrastructure

Camilla Feurst (senior risk specialist in Statkraft): We have seen the engagement rise within the maintenance teams when we supply them with the desired information and tools needed in order to increase component condition insight.

Reduced workeffort

Less alarm call-outs due to technicians remote access to trends from PI Vision.

Coordinated maintenance

Coordinated maintenance actions and less wear on components due to early detections.

New insights

New insights about correlations of interest.

Available information

Accessible information for discipline experts before condition assessments.

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