Data Analytics for Power & Utilities

The Power and Utility industry is tasked with a tall order as commercial and residential consumers alike are dependent on the power and utility industry to keep their business or home running with viable and reliable power sources. Pressure is on to provide affordable service, comply with industry standards, while continually increasing the role of renewables. Troubleshooting must be swift when problems arise – everyone is dependent upon power and utilities.

Featured Case Study

Digital Transformation Success for a Korean Power Company

A power company in South Korea heard about dataPARC from colleagues and with visualization and performance as driving factors, wanted to know more. The South Korean power company was responsible for generating 10% of South Korea’s total power, with more than 2,350 employees. Their current system, PI, was continually too slow to provide long-term trend data, data that was essential to root cause analysis. 

Another priority was connectivity – they wanted a unified user interfaces and data access across all plants and over 6,000 displays. Along with connectivity, the South Korean power company placed a high priority on a robust visual display without having to compromise on the quantity of data provided. The South Korean power company chose dataPARC for their performance and visualization needs.

Starting in 2016, local plants improved performance and visualization by migrating to dataPARC from the PI system. Because PARCview is a powerful and intuitive tool, the power company also benefitted from enhanced visualization and analysis features. The power company also experienced improved performance from PARCpde (Performance Data Engine.)

In 2018, a central M&P (monitoring and prognostic) center integrated data from all remote plants and delivered improved decision making through the use of an Intelligent Predictive Analysis System (IPAS.) IPAS provided early warning for plant disturbances and root cause analysis and process troubleshooting for power generation.

The South Korean power company also adopted Operation Information Monitoring, which allowed real-time visualization of processes. Some of the advantages of using dataPARC for their central system were:

  • Easy connectivity to existing plant Historians, no need to duplicate data
  • Improved performance through use PARCpde (Performance Data Engine)
  • Advanced applications for better monitoring and proactive decision making 

Logic builder was also incorporated at the sites. Feedback was received that the drag and drop feature was intuitive and easy to use. Sites were connected and able to access information universally.

This South Korean power company also benefitted from Advanced Pattern Recognition, and Intelligent Predictive Analysis systems provided by dataPARC’s PARCview visualization software.

As of June 2019, all of the sites at this South Korean power company had integrated dataPARC

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