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AI data centers drive demand for new solid-state transformer technology

Created at 24 Aug · 9:36 PM1 source↑ Market-relevant
IN SHORT

The surge in electricity demand from AI data centers is accelerating the development of solid-state transformers, a modern alternative to traditional power transformers. This technology promises smaller, more efficient, and mass-producible units that can directly convert AC to DC power.

Key Numbers

1 MWdemonstrated solid-state transformer power capacity
$280 millionfunding raised by companies commercializing SSTs
1880sorigin of conventional transformer design

Who's Involved

Srdjan Lukic
Professor of electrical and computer engineering at North Carolina State University
Amperesand
Company commercializing solid-state transformer technology
Heron Power
Company commercializing solid-state transformer technology
DG Matrix
Company commercializing solid-state transformer technology
EPRI
Nonprofit organization conducting field testing of SSTs
New York Power Authority
Collaborated with NC State on SST demonstration
AI data centers drive demand for new solid-state transformer technology

↳ Why This Matters

The development of solid-state transformers is crucial for supporting the rapidly growing electricity demands of AI data centers and modernizing power grids. This innovation could alleviate supply chain issues for transformers, enable more efficient EV charging, and pave the way for future DC power distribution in homes.

Key facts

  • AI data centers are the primary driver for the development of solid-state transformers.
  • Solid-state transformers use semiconductor switching, unlike traditional coil-and-core designs.
  • They offer advantages such as smaller size, modularity, and integrated AC/DC conversion.
  • Several US companies have secured significant funding to commercialize this technology.
  • The technology has potential applications in EV charging and future home power systems.

The escalating electricity demands from AI data centers are straining existing power grids, prompting accelerated investment in solid-state transformers (SSTs). These advanced devices utilize semiconductor switching for voltage conversion, offering a modern alternative to the traditional, manually assembled transformers that have been in use since the 1880s. Conventional transformers face manufacturing bottlenecks, leading to multi-year wait times for new units, which hinders grid expansion and the replacement of aging infrastructure.

In contrast, SSTs are designed for mass production using semiconductor materials like silicon carbide. They are physically smaller, lighter, and feature modular designs for easier maintenance and upgrades. A key advantage for AI data centers, which increasingly adopt direct current (DC) power architectures, is the SST's ability to directly convert alternating current (AC) from the grid to DC power required by energy-intensive AI chips, eliminating the need for separate conversion devices.

Srdjan Lukic, a professor at North Carolina State University, highlighted that data centers are currently the primary application driving SST adoption. Several U.S. companies, including Amperesand, Heron Power, and DG Matrix, have collectively raised over $280 million in funding to bring this technology to market. Beyond space savings and material reduction, SSTs could eventually alleviate broader power transformer supply chain shortages.

The benefits of SSTs extend to electric vehicle (EV) charging, which also relies on DC power. NC State has demonstrated a 1 MW SST system capable of handling grid power conversion for EV charging. While engineering and commercialization challenges remain, the adoption by data centers is expected to de-risk the technology for wider use in areas like EV charging infrastructure and potentially in future DC-powered homes.

Frequently asked questions

A solid-state transformer (SST) is a power electronic device that uses semiconductor switching to convert AC power to different voltage levels and can also convert AC to DC power, unlike traditional transformers which use electromagnetic induction.

AI data centers require significant amounts of DC power for their energy-hungry chips. SSTs can directly convert grid AC power to the necessary DC power, simplifying infrastructure and improving efficiency.

SSTs are smaller, lighter, can be mass-manufactured, offer modular designs for easier upgrades, and can integrate functions like AC/DC conversion, which conventional transformers cannot.

Beyond data centers, SSTs have potential applications in electric vehicle charging infrastructure and could eventually be used for distributing DC power within modern homes.

What Happens Next

01NC State's SST system is scheduled to return to the university in September after field testing.
02Further engineering and commercialization challenges for SST technology are expected to be addressed.

How It Developed

AI data centers are driving demand for new solid-state transformer technology.
Conventional transformers, with designs dating back to the 1880s, face manufacturing constraints and long delivery times.
Solid-state transformers use semiconductor switching for voltage conversion and can be mass-manufactured.
These transformers are smaller, lighter, and modular, offering integrated AC/DC conversion for data centers.
Companies like Amperesand, Heron Power, and DG Matrix have raised over $280 million to commercialize solid-state transformers.
The technology could also benefit electric vehicle charging and eventually household power distribution.
NC State demonstrated a 1 MW solid-state transformer system for EV charging and grid integration.

Sources

T1
Energy-hungry AI data centers spur new power transformer technologyvar abtest_2168873 = new ABTest(2168873, 'impression');Ars Technica

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