AI Datacenter Nuclear Power & SMR Energy Calculator

AI Datacenter Nuclear Power Contract & Energy Yield Calculator

Interactive institutional nuclear energy calculator modeling Megawatt/Gigawatt datacenter load, Levelized Cost of Energy (LCOE) across nuclear SMR vs grid tariffs, and multi-decade power purchase agreement economics.

• 835 MW PPA — Three Mile Island baseload commitment
• 20 Years — Hyperscaler long-term contract lock-in
• $89–$222/MWh — Levelized cost of SMR nuclear energy
• 93.5% Capacity — Nuclear baseload vs 28% solar intermittency

Interactive AI Datacenter Nuclear Energy Calculator & PPA Cost Engine

Configure server farm electrical draw, contract duration, and nuclear PPA tariff rates to project 20-year energy expenditures.

• Annual Energy Consumed: 6.84 TWh / yr
• Annual Nuclear Power Cost: $718.1 M USD / yr
• Annual Grid Baseline Cost: $923.3 M USD / yr
• 20-Year Net Energy Difference: $4,103.5 M USD Total

How the calculator works

The model starts from the size of the data center in megawatts and turns it into a year of energy. It multiplies capacity by the 8,760 hours in a year and by a 93.5% capacity factor, which is close to the average the US nuclear fleet has delivered over the past decade according to the Energy Information Administration. At the default 835 MW, the size of the Three Mile Island Unit 1 contract, that works out to about 6.84 terawatt-hours a year.

Two prices are then applied to the same volume of energy. The nuclear rate stands for a long-term power purchase agreement, a fixed price per megawatt-hour agreed for the whole contract. The grid rate stands for what the same campus would pay on a standard industrial tariff. With the defaults of $105 and $135 per MWh, the nuclear contract costs about $718 million a year against roughly $923 million on the grid.

The last line multiplies the yearly gap by the number of contract years. At the defaults the difference reaches about $4.1 billion over 20 years. Change any slider and every figure updates at once, because all four outputs come from the same formula rather than from separate estimates.

Reading the results

A positive difference means the nuclear contract is cheaper than paying the grid rate you entered. A negative one means you are paying a premium for firm, carbon-free supply, which is exactly what many hyperscalers have chosen to do. Microsoft, Amazon, Google and Meta have all signed nuclear deals even where grid power was cheaper on paper, because a fixed price and round-the-clock clean supply are worth something on their own.

Most hyperscaler contracts do not publish their price. Analysts have estimated that restart and life-extension deals land somewhere around $80 to $110 per MWh, while new small modular reactors are expected to cost far more at first. The KPI card above shows the published levelized cost range for small reactors, drawn from Lazard and the cancelled NuScale project in Utah, so you can test both ends of that range.

A useful exercise is to hold the grid rate fixed and raise the nuclear rate until the difference reaches zero. That break-even price tells you how much of a premium the buyer is accepting for certainty. Then lower the contract length and see how quickly the total shrinks: the long tenor, not the rate alone, is what makes these deals large.

Here is a second worked example. A 300 MW campus on a 15-year contract at $95 per MWh, compared with a $120 grid tariff, uses about 2.46 terawatt-hours a year. The nuclear contract costs roughly $233 million a year against about $295 million from the grid, a difference near $921 million over the term. Run the same campus at a 25-year tenor and the gap grows by two thirds, which shows why buyers push for the longest contract a supplier will sign.

What the model leaves out

The totals are not discounted. A dollar saved in year 20 counts the same as a dollar saved this year, so the 20-year figure overstates present value. If you need a net present value, discount each year's difference at your own cost of capital.

Grid prices are held flat for the whole term, while real tariffs move with fuel costs, capacity charges and transmission upgrades. The model also assumes the data center draws its full rated load at the same 93.5% factor as the reactor, which real campuses rarely do, and it ignores taxes, credits and the cost of matching supply to demand hour by hour.

Treat the output as a first-pass sizing tool for comparing contract structures, not as a quote. For a real procurement decision, replace the defaults with the tariff from your utility, a load profile from your own facility and the rate offered in an actual term sheet.