Name
Vattenfall Vattenkraft AB: Create and monitor standardized data structures with AVEVA PI System SDK
Time
1:15 PM - 1:45 PM
Power & Utilities
Description

Vattenfall Hydro Nordic has a rich history with AVEVA PI System, which has been the backbone of data collection for hydro power plants.  Vattenfall is committed to sustainability and innovation, which requires reliable and efficient data management across its diverse energy portfolio.  Over the years, the system has transitioned from being a local governance tool to a centralized platform for Condition-Based Maintenance and fleet usage optimization.  This shift has necessitated the standardization of data, naming conventions, and Asset Framework structures to support the evolving needs.

These developments reflect Vattenfall's commitment to leveraging AVEVA PI System not just as a monitoring tool, but as an integrated component of its daily operations, driving efficiency and optimization across its hydro power plant fleet. It has been crucial to fulfill the demands of different users, such as technicians, analysts, and management.  Each group has unique requirements and perspectives that must be considered to ensure the system's effectiveness and relevance.­

The journey with AVEVA PI System has provided valuable lessons from a decade of hands-on experience.  It has highlighted the critical role of standards and the need for close collaboration between local technicians and global analysts.  The SDK helps Vattenfall standardize and automate the creation of AF structures and PI Point names in a templated and automated way, reducing manual errors and enhancing data quality.  The SDK is also used to vigilantly monitoring of data structure and quality. 

In this presentation, we will share with you our journey with AVEVA PI System and the lessons learned from 10 years of experience.  We will cover the following topics:

  • The importance of standards and collaboration between technicians working locally and analysts working globally
  • Our usage of the SDK to scale templatized AF structures and PI Point naming
  • Monitoring of the data structure and quality