Data Center Power Demand: What the DOE Numbers Mean
By Commertize Desk · Published 7 November 2026
US data centers consumed about 176 terawatt-hours of electricity in 2023, roughly 4.4% of national use. That figure comes from the Lawrence Berkeley National Laboratory report to Congress, released by the Department of Energy in December 2024, and the same report projects 325 to 580 terawatt-hours by 2028, or 6.7% to 12% of US electricity. For a sponsor deciding whether to build, buy or finance digital infrastructure, the headline growth matters less than the width of that range. The gap between the low and high case is larger than all data center consumption in 2023.
What the dataset measures
The laboratory's estimate is bottom-up. It counts installed servers, storage and network equipment, applies utilization and efficiency assumptions, and adds cooling and power-conversion overhead. The report attributes most of the post-2017 growth to accelerated servers used for AI training and inference, which draw far more power per rack than conventional enterprise hardware.
Three features of the method matter to an underwriter:
- It is a demand estimate, not a delivery estimate. It says how much power facilities would draw, not how much the grid can connect on time.
- The range is driven by assumptions about chip shipments and utilization. Those are the same variables a tenant's own capacity plan rests on, so the uncertainty in the national number and in a single lease are linked.
- It is national. Demand concentrates in a small number of utility territories, where the local share of load is far higher than the national 4.4%.
Where the range shows up in a deal
A data center is underwritten on contracted power, not floor area. Leases are typically quoted per kilowatt of critical IT load, and the tenant is paying for the certainty that the megawatts will be there on the commissioning date. That turns the national forecast into three questions on one asset.
Is the power deliverable? The Federal Energy Regulatory Commission's Order No. 2023, issued July 2023, reformed generator interconnection toward cluster studies and firmer deadlines because queues had grown to years. Large-load connections for data centers run through utility processes that face the same backlog. A site with a signed interconnection agreement and a funded substation is a different asset from a site with a request in the queue.
Is the demand durable? The high case assumes sustained growth in accelerated computing. The low case assumes slower deployment and efficiency gains. A sponsor whose lease term is shorter than the debt term is exposed to which case arrives.
Who pays for the grid upgrade? Utilities and state commissions are moving more of the cost of new transmission and generation onto large-load customers through tariffs, collateral and minimum-take provisions. Those terms move cost from the ratepayer base onto the project, and they belong in the capital stack.
What the supply side says
The US Energy Information Administration's Short-Term Energy Outlook has attributed a growing share of projected commercial-sector electricity growth to data centers, a shift from two decades of broadly flat US demand. When a national statistical agency revises its demand path upward, it confirms the direction of the laboratory's estimate without settling where in the range demand will land.
Read together, the two sources say the constraint is moving from capital to power. Equity and debt for data centers have been available. Energized capacity on a known date has not. That is why powered land, signed interconnection agreements and on-site generation now carry premiums that do not show up in a conventional per-square-foot appraisal.
What this means for how capacity is financed
When the scarce input is power, the evidence an investor needs changes. A rent roll and an appraisal are not enough. An investor in a data center interest wants:
- The interconnection agreement and the utility's committed energization date.
- Metered critical IT load against contracted load, by month, once the facility is live.
- The tariff terms that allocate grid-upgrade cost and any minimum-take obligation.
- Lease term against debt term, and the tenant's renewal options.
These are verifiable data points, and most of them change over time. A static offering document captures them once. A digital register with attached, dated data can show them as they move: commissioning milestones, monthly load and distributions from the same contracted revenue. That is the case for treating tokenization for energy and digital infrastructure as a data question first and a distribution question second. Smaller minimums and faster settlement help a sponsor reach more holders, but the holders still price the asset on whether the megawatts arrive.
Commertize builds software for tokenizing real-world assets and is building a market where AI agents can buy data, compute and work.
How to read the range as a sponsor
The 6.7% to 12% projection is not a forecast to bet on. It is a measure of how uncertain the industry's own planners are. A sponsor can use it in three ways:
- Stress the lease against the low case. If demand lands near 325 terawatt-hours, which facilities still lease? The ones with energized power in constrained territories.
- Price the interconnection, not the land. The difference between a queued site and an energized site is the value the market is paying for.
- Publish the operating data. In a market where investors cannot tell which case is arriving, the asset that shows monthly metered load against contract gives them a reason to price it tighter.
Federal data puts the direction beyond dispute and leaves the size open. Underwriting that keeps power delivery, tariff terms and lease duration in the same model is the discipline that range demands.
What to do next
If you have a data center or powered site you are considering bringing to market, start at Commertize's energy and digital infrastructure tokenization page.
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