- 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 Manufacturers
- GE’s AI/ML tool uses a digital twin of the wind turbine logistics process to accurately predict and streamline logistics costs
- Application 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
For media inquiries, please contact:
Todd Alhart
Director, Innovation Communications
GE Aerospace
+1 518 338 5880
[email protected]
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The world has faced myriad challenges in recent years, from challenges to energy security and extreme weather events impacting the grid to the COVID-19 pandemic and the macroeconomic turbulence it caused. These have helped to catapult sustainability to the top of the boardroom agenda, with companies now striving both to succeed as a business and in contributing to solving some of the world’s most pressing challenges at the same time.
Johanna Wellington was almost ready to approve the installation of a new gearbox in one of the wind turbines in GE Vernova’s U.S. fleet. But she paused because she was concerned about the manufacturing process of a subcomponent. The department she leads in GE Vernova’s Onshore Wind business had recently changed its name from Major Components Exchange to Major Components Upgrades, a nod to its new commitment: Any new part placed on an existing turbine had to be a higher-quality component than the one it was replacing.
Over the next 60 seconds, GE’s energy technology, from gas and wind turbines to hydroelectric, will generate enough electricity to supply millions of households for an hour. In that same time, around 30 aircraft equipped with jet engine technology made by GE or one of its partners will take to the skies — one every two seconds.
Patrick Cassidy was working as a carpenter when he saw the newspaper notice about job opportunities at Vineyard Wind in the summer of 2019. The country’s first commercial-scale offshore wind farm was being built 15 miles south of Martha’s Vineyard, the island he’d called home since 1995, and he was curious. He enjoyed his work, and he was good at it, but he liked the idea of a more regular paycheck — and maybe even paid time off.
The 150,000 blades spinning away on GE Renewable Energy’s onshore wind turbines might all look the same, but one has a special backstory. It rolled off a production line staffed by women. Every inventory controller, molding technician, and supervisor on the shop floor that made the component was female.
The power industry around the world is going through a fundamental transition to renewable energy. This shift requires a lot of innovation, and few companies are better equipped to help than GE. Just look inside a cavernous warehouse near Rochester, New York. The revolution happening there is not being televised yet. It’s being printed.
Wind power is one of the fastest-growing segments of the energy sector, but that doesn’t mean building a successful wind farm is simple. Turbine operators must chart a path through a vortex of data about average wind speeds, local regulation, wholesale power market dynamics and more. Then they must select the right turbine for the site they pick.
Bogdan Ene is an operator at LM Wind Power’s factory in Castellón, a province on Spain’s Mediterranean coast, where the GE-owned company makes blades for wind turbines. He is in awe of a particular teammate’s boundless curiosity and energy. “She’s taught me that it’s possible to achieve two days of work in just a few hours by being organized,” he says. “I really admire her.”
Driving across the eastern end of New York State, you can’t fail to notice the clusters of wind turbines that have popped up over the past decade on undulating fields and remote ridges. As in other parts of the world, these wind farms are a manifestation of America’s growing embrace of renewable energy.