power partners
Chevron and partners to develop innovative power plants to support AI-focused data centers
Houston-based Chevron U.S.A. Inc., San Francisco investment firm Engine No. 1, and Boston electric service company GE Vernova have announced a partnership to create natural gas power plants in the United States. These plants support the increased demand for electricity at data centers, specifically those developing artificial intelligence solutions.
“The data centers needed to scale AI require massive amounts of 24/7 power. Meeting this demand is forecasted to require significant investment in power generation capacity, while managing carbon emissions and mitigating the risk of grid destabilization,” Chevron CEO Mike Wirth, shared in a LinkedIn post.
The companies say the plants, known as “power foundries,” are expected to deliver up to four gigawatts, equal to powering 3 million to 3.5 million U.S. homes, by the end of 2027, with possible project expansion. Their design will allow for the future integration of lower-carbon solutions, such as carbon capture and storage and renewable energy resources.
They are expected to leverage seven GE Vernova 7HA natural gas turbines, which will serve co-located data centers in the Southeast, Midwest and West. The exact locations have yet to be specified.
“Energy is the key to America’s AI dominance, “ Chris James, founder and chief investment officer of investment firm Engine No. 1, said in a news release. “By using abundant domestic natural gas to generate electricity directly connected to data centers, we can secure AI leadership, drive productivity gains across our economy and restore America’s standing as an industrial superpower. This partnership with Chevron and GE Vernova addresses the biggest energy challenge we face.”
According to the companies, the projects offer cost-effective and scalable solutions for growth in electrical demand while avoiding burdening the existing electrical grid. The companies plan to also use the foundries to sell surplus power to the U.S. power grid in the future.
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