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Dallas skyline

Articles & Insights

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10 min read

Breakthrough Allies: Here’s How GE Vernova and ARPA-E Are Tackling the Energy Transition

In 2009, the United States Department of Energy was seeking a dose of radical thinking. Early that year, its newly created Advanced Research Projects Agency–Energy (ARPA-E) issued an open call for “the most revolutionary energy technologies.” If ARPA-E officials were expecting a steady trickle of ideas from business, academia, and research laboratories, they were wrong. They’d just opened the floodgates.
A drone view of wind blades in motion

Articles & Insights

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6 min read

Blade Runners: GE Vernova Is Deploying AI-Enabled Machines to Boost Wind Turbine Blade Quality

“The world needs wind,” said Vic Abate, CEO of GE Vernova’s Wind business, at the company’s recent Investor Day event. Indeed, wind power already plays an important role in worldwide energy production. However, to meet the world’s growing energy needs, and to foster decarbonization, wind power must increase the amount of electricity it supplies to the grid from 7% currently to 25%. “Think of an energy system where one out of four electrons comes from wind,” Abate added, “because this is a different world.”

Press Release

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6 min read

GE Vernova Announces New AI-Powered Carbon Emissions Management Software

New software is designed to empower energy industry to measure, manage, and operationalize insights to help reduce carbon emissions more accurately. Software engineered to help improve greenhouse gas (GHG) calculation accuracy on scope 1 gas turbines by as much as 33% using reconciliation algorithm and Digital Twin technology powered by machine learning (ML) and data analytics. SAN RAMON, Calif.

Press Release

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5 min read

GE Using AI/ML to Reduce Wind Turbine Logistics and Installation Costs

New state-of-the-art Artificial Intelligence (AI)/Machine Learning (ML) technology developed by GE scientists recognized with a prestigious Manufacturing Leadership Award (MLA) by the National Association of ManufacturersGE’s AI/ML tool uses a digital twin of the wind turbine logistics process to accurately predict and streamline logistics costsApplication of AI/ML could enable a 10% reduction in logistics costs, which would represent a global cost savings to the wind industry of up to $2.6 billion annually by 2030 based on current industry growth projections