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To estimate a data center’s electricity use, total the energy consumed over the period you care about: for each interval, multiply average demand in kilowatts (kW) by interval length in hours, then add the results to get kilowatt-hours (kWh). Estimate the energy charge by multiplying kWh by the applicable rate; for a realistic bill, also account for demand charges, time-of-use pricing, fixed fees, and other tariff adjustments. First decide whether you mean IT equipment alone or the entire facility—the answer depends on that boundary.
Define what you are estimating
Choose the measurement boundary and time period before doing the arithmetic. An estimate for IT equipment is not the same as one for a whole facility, and a monthly total is not the same as a peak-demand figure.
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- IT energy: Electricity used by servers, storage, networking, and other IT equipment within the chosen boundary.
- Whole-facility energy: IT energy plus cooling, power conversion and distribution losses, fans, lighting, and other building loads. A U.S. Department of Energy (DOE) case study reports these categories separately, illustrating why the boundary matters: DOE data-center energy-efficiency case study.
Write the estimate as a quantity with its period and boundary—for example, “whole-facility electricity, monthly, in kWh.” Keep demand in kW separate from energy in kWh: kW describes a rate of power use, while kWh measures energy consumed over time.
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Calculate energy from meter or demand data
When you have interval readings
Use whole-facility meter readings or utility interval data aligned with the period you want to estimate. For each interval, multiply its average demand by its duration, then sum the interval energy:
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Interval energy (kWh) = average demand (kW) × interval duration (hours)
Period energy (kWh) = sum of the interval energy values
For example, if a meter reports an interval-average demand of 500 kW for a 15-minute interval, the interval energy is 500 × 0.25 = 125 kWh. Repeat for every interval in the period and add the results. Use average interval demand, not a brief peak reading.
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When you have only an average demand estimate
Multiply representative average demand by the operating hours in the period:
Estimated energy (kWh) = average demand (kW) × operating hours
Label the result as an estimate and state how you chose the average and hours. Do not multiply peak or nameplate power by every hour unless continuous operation at that level is known; doing so can substantially overstate consumption.
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Estimate facility energy from IT energy with PUE
If you know IT energy but not whole-facility energy, you can estimate the latter using power usage effectiveness (PUE). DOE defines PUE as total annual facility energy use divided by annual energy use of all IT equipment: DOE FEMP cooling-water and efficiency guidance.
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Use a PUE that represents the same facility boundary and a compatible time period as the IT-energy figure. The definition is annual; applying a yearly PUE to a short period can mislead if the facility’s load or cooling conditions vary. Do not apply PUE to whole-facility meter data, because that would count facility overhead a second time.
PUE is a ratio, not a universal multiplier. A DOE case study of three federal data centers, based on measured energy-use observations from summer 2012, reported current PUEs of 1.80, 2.07, and 1.78; modeled potential values for those sites were 1.45, 1.55, and 1.38, respectively. These figures illustrate variation among assessed sites, not present-day benchmarks or guaranteed values for another facility: DOE case study.
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Turn energy use into an operating-cost estimate
Use a flat rate only for a rough energy charge
For a flat energy-only rate, the calculation is:
Estimated energy charge = kWh × price per kWh
For instance, 1,000,000 kWh at an assumed rate of $0.10/kWh gives an energy charge of $100,000. This is arithmetic, not a data-center price benchmark; the assumed rate may not match the site’s location or tariff.
DOE’s Federal Energy Management Program used 11¢/kWh—the average electricity price at U.S. federal facilities as of July 2024—in an example annual energy-cost calculation. That dated federal-facility figure is not a current universal commercial rate: DOE FEMP storage purchasing guidance.
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Use the utility tariff for a bill estimate
A more complete operating-cost estimate uses the tariff applicable to the site and billing period. Depending on the tariff, the bill may include:
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- Energy charges that vary by time of use.
- Demand charges based on billed peak kW.
- Fixed monthly charges and other applicable adjustments.
Use the utility’s billed demand definition and time periods, not an assumed peak measure. DOE’s brief on large-load rate designs discusses tariff issues relevant to customers such as data centers: DOE large-load electricity rate-design brief. A single cents-per-kWh rate can be useful for a first-pass energy charge, but it may omit costs that materially affect the bill.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Handle incomplete data and uncertainty
Keep measured inputs, billed values, assumptions, and modeled outputs distinct. If key inputs are uncertain, calculate low, base, and high cases rather than presenting one precise-looking figure. Vary uncertain average load or utilization, inferred PUE, operating hours, and tariff assumptions independently where possible; this makes clear which assumptions drive the range.
- Measured: Facility or IT meter readings and interval demand data.
- Billed: Utility charges and the tariff’s billed-demand values.
- Assumed: Representative load, operating hours, or energy rate used where site data are unavailable.
- Modeled: Results derived from projections or efficiency scenarios rather than direct site readings.
For comparisons between facilities or estimates, align the measurement boundary, time basis, tariff, operating conditions, and PUE applicability. A difference in any one of those can make two figures non-comparable even if both are labeled “data-center electricity use.”
Use national data for context, not a site estimate
U.S. national figures show the scale of data-center electricity demand, but they cannot replace a facility’s meter readings, utility bills, and operating schedule.
- Lawrence Berkeley National Laboratory (LBNL) estimated U.S. data centers used 176 TWh in 2023, about 4.4% of total U.S. electricity that year. DOE announced these figures on December 20, 2024: DOE announcement of LBNL’s 2024 report.
- The same report estimated U.S. data-center electricity use in 2028 at 325–580 TWh. This is a modeled range, not an observed amount.
- An LBNL update published in 2025 reported a 14% increase in U.S. data-center electricity use from 2023 to 2024. It also described sensitivity scenarios from 11% below to 21% above its reference case, with compounded uncertainty of roughly 20% below to 30% above: DOE/LBNL 2025 update.
These dated national estimates and projections describe the United States as a whole. They do not establish what a particular data center consumes or pays.
Explore efficiency opportunities separately from the bill estimate
If you are investigating electrical-system losses, Berkeley Lab’s Power Chain Tool estimates energy and cost savings and payback from inputs such as UPS, PDU, and transformer information. It can help explore efficiency opportunities, but it is not a substitute for site meters or utility bills: Better Buildings description of the Power Chain Tool.
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