wind in the west

Low-carbon energy company with U.S. HQ in Houston to launch Texas wind energy plant later this year

Located in Callahan County, Texas, outside of Abilene, ENGIE's Century Oak Wind Project is nearing completion. Photo courtesy of Engie

A wind energy project being built just east of Abilene by Houston-based ENGIE North America will annually supply 65 megawatts of power to Ferguson, a distributor of hardware, tools, plumbing supplies, and other industrial items.

Under a newly signed agreement, ENGIE’s 153-megawatt Century Oak project is expected to generate enough wind energy to meet most of Ferguson’s electrical needs in the U.S. and Canada. This energy would power the equivalent of 34,000 typical homes in the U.S. The project features 45 wind turbines.

The Century Oak project is creating about 300 to 400 construction jobs. It’s scheduled to be completed by the end of 2023.

Paperwork submitted in 2021 to the Texas Comptroller of Public Accounts indicates ENGIE North America, a subsidiary of French utility company ENGIE, is investing more than $140 million in the project.

Across North America, ENGIE is building or operating nearly seven gigawatts’ worth of wind, solar, and storage capacity.

“We have activities in more than 100 counties across the U.S. and Canada — the energy transition is really one that will be powered by communities across the continent,” says Dave Carroll, chief renewables officer at ENGIE North America.

ENGIE’s other wind energy customers in Texas include Akamai, Allianz, GetBlok Farms, Ingersoll Rand, Microsoft, and Walmart.

Last year, ENGIE North America wrapped up $800 million in financing for three renewable energy projects in the U.S., including a wind farm in Texas, that are capable of generating 665 megawatts of renewable energy.

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A View From HETI

SLB and NVIDIA plan to build an "AI factory for energy" to help the industry transform massive amounts of data into actionable information. Photo courtesy SLB

Houston-based energy technology company SLB has expanded its 18-year tech collaboration with chipmaker NVIDIA to include the development of an “AI factory for energy.”

Through their partnership, SLB and NVIDIA will create AI infrastructure and models built around SLB’s existing digital platforms to help energy companies scale AI for data and operations.

In addition to the development of the “AI factory,” SLB will:

  • Provide modular design services to enhance NVIDIA’s blueprint for building, launching and operating gigawatt-scale AI data centers. In this case, modular design involves manufacturing data center components off-site.
  • Use NVIDIA’s AI infrastructure to improve the processing of large datasets and AI models across SLB’s digital platforms.

Energy companies generate vast amounts of operational data, which can slow down and silo decision-making, SLB says. By combining NVIDIA’s Omniverse libraries and its Nemotron open models with SLB’s digital and AI platforms, the companies aim to more rapidly transform data into actionable insights.

Omniverse libraries are sets of prebuilt 3D elements, such as objects, surfaces and interactive features, that make it easier to construct detailed virtual spaces without having to design everything manually. They’re commonly used for building immersive environments, digital replicas of real-world systems and simulation scenarios.

Nemotron open models are AI models that are freely available to download and modify. Instead of relying on a hosted service, you can run them on your own infrastructure and tailor them to fit specific needs.

Vladimir Troy, vice president of AI infrastructure at NVIDIA, says the energy sector is at the forefront of AI driving a “new industrial revolution.”

“The winners in AI will be companies with the best data, the deepest domain expertise, and the ability to scale,” Demos Pafitis, SLB’s chief technology officer, added. “By collaborating with NVIDIA to advance modular data center construction and harness our domain expertise and digital platforms, we’re enabling the energy industry to deploy AI at scale and transform operational data into smarter decisions.”

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