IBM has launched a new cloud-based analytics platform for energy and utility companies to improve decision-making.
The new IBM solution assists in removing the financial barriers to using analytics across energy generation, transmission and distribution while delivering situational awareness from data.
IBM Insights Foundation for Energy allows energy and utility companies to get a 360-degree view from the individual transformer level to the entire grid.
The company is offering IBM Insights Foundation for Energy via the SoftLayer infrastructure from IBM.
The advanced analytics enables better decision-making about maintenance and repairs, said IBM. It also enables renewable forecasting and integration to the network as well as supporting custom analytics development so it can be tailored to meet the specific needs of each Energy and Utilities provider.
National Grid, which operates the high voltage power transmission network for England and Wales, worked with IBM to improve decision making around asset health and maintenance policies.
“We needed the ability to sweep up all the data on our assets across 350 different sites and bring that together into a single portal to then do further analysis and deliver value for customers moving forward,” said David Wright, director of electricity transmission asset management, National Grid.
National Grid has shifted to condition-based preventive maintenance without having to replace their existing enterprise asset management system. National Grid is benefitting from analytics based asset management by reducing operating expenditure while maintaining grid reliability and availability.
“We have a place you go where you can see everything you want to know about the assets. We are also getting the ability to see asset conditions — a really useful way for us to manage risk in this business,” said Jon Fenn, head of network engineering, National Grid.
Using analytics and visualization to improve situational awareness, utilities can better understand factors affecting asset performance and more accurately project how much useful life remains or what other points in the grid could be affected by an outage.