Siemens teams to build digital twins of electricity grids

Siemens teams to build digital twins of electricity grids

Business news |
By Nick Flaherty

Siemens Smart Infrastructure has teamed up with Esri in California to expand its ecosystem of partners for its grid software business.

The partnership enhances capabilities for the planning, operations and maintenance of power networks at grid operators by combining Esri’s mapping and spatial analytics software and Siemens’ electrical topology expertise. This is intended to upgrade the data flow between applications for increased planning accuracy and for better operations of the distribution grid and improve the use of Distributed Energy Resources (DER) such as batteries and renewable sources in the grid.

This follows the launch of Siemens’ Grid Software Suite as part of the Xcelerator programme, where Siemens is also working with Nvidia on digital twin technologies. The grid software suite is used to create a holistic digital twin to plan, operate and maintain power grids.

“With the strategic partnership, Siemens and Esri will jointly innovate in the grid software space by bringing together the best of our two worlds,” said Sabine Erlinghagen, CEO Grid Software at Siemens Smart Infrastructure. “Esri will be part of an ecosystem of equally strong partners across the energy industry, which can lead the change to shape the grids of the future to a 100 percent renewable world.“

Jeff Rashid, Global Director for Infrastructure at Esri, said: “Combining a major source of data such as GIS with Siemens’ grid modeling and simulation software will significantly elevate the quality of grid models for utilities. We are working on streamlining the data transfer between our GIS and the Siemens software resulting in a much higher performing system, a much more reliable data exchange between systems and a reduction in overall cost for data management.”

The deal supports Transmission System Operators (TSOs) and Distribution System Operators (DSOs) in addressing the increasing challenges across their entire geographic power networks.

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