To estimate a data center’s electricity use, add interval readings from meters that cover the facility and time period you care about. If you have only average power, multiply average kilowatts by the number of hours. For an IT-only measurement, estimate whole-facility use with facility energy ≈ IT energy × PUE—but only when both figures use the same period and measurement boundary.
Calculate electricity use from power or meter readings
Electricity consumption is energy over time, usually reported in kilowatt-hours (kWh), megawatt-hours (MWh), or gigawatt-hours (GWh). Power, measured in kilowatts (kW) or megawatts (MW), is a rate; a power figure alone does not tell you how much electricity was consumed over a period.
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If you have interval-meter readings
Use utility or facility-meter readings that cover the boundary you want to describe. Sum the energy readings across the selected period. If the meter records cumulative energy instead, subtract the starting reading from the ending reading. Keep the meter’s units and reporting interval in view, and check that the readings cover the full period.
If you have average power
Multiply average power by the number of hours represented:
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Energy (kWh) = average power (kW) × hours
For a full non-leap year, use 8,760 hours. Convert kWh to MWh by dividing by 1,000, or to GWh by dividing by 1,000,000.
For example, an average facility load of 1 MW maintained continuously for a full non-leap year would use 1,000 kW × 8,760 hours = 8,760,000 kWh, or 8,760 MWh (8.76 GWh). This is an arithmetic illustration, not a typical data-center benchmark; it assumes 1 MW is the average load across the whole facility boundary for the entire year. If load varies, use interval readings or a time-weighted average rather than treating a peak or brief reading as the average.
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Distinguish IT electricity from whole-facility electricity
An IT-only figure covers the energy used by the included servers, storage, and networking equipment. Whole-facility electricity also includes supporting infrastructure and other loads within the chosen boundary, such as cooling, UPS losses, lighting, and building systems. State which loads are included: the boundary determines what the number means.
When only IT energy is available, estimate total facility energy using Power Usage Effectiveness (PUE):
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Facility energy ≈ IT energy × PUE
PUE is total facility energy divided by IT equipment energy. The U.S. Department of Energy (DOE) defines it using total annual facility energy and annual IT energy (DOE Federal Energy Management Program guidance). Use energy figures measured over the same period and at compatible facility and IT boundaries. A PUE near 1 means relatively little additional energy is included beyond IT equipment; it does not mean the facility uses little electricity in absolute terms.
Choose meter points that match the estimate
For a whole-facility estimate, use utility or facility meters covering the facility boundary of interest. For IT-only energy, use an agreed IT measurement boundary—for example, suitable UPS or PDU readings—and verify that the selected points cover all the IT equipment you intend to include. Mixing IT energy from one boundary with facility energy from another can make the resulting PUE misleading or unsuitable for comparison.
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DOE’s data center energy assessment-kit guidance describes monitoring real-time power and estimating PUE from estimated annual facility and IT energy. It also explains that monitoring can show power use across components and distribution losses. Meter placement, coverage, and the time period all affect what a reported figure represents.
Estimate without a meter—and show the assumptions
If you cannot obtain meter readings, estimate energy by summing the power draw of included equipment over its operating hours. Use measured or specified power values where available, and adjust for observed utilization or load profiles. Nameplate and maximum rated power are not the same as average real-world draw, so treating every device as continuously operating at its rating can distort the estimate.
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Make the estimate interpretable by reporting:
- Boundary: IT-only or whole facility, and which loads are included.
- Period: The dates covered, and whether the result is measured, annualized, or forecast.
- Power source: Utility meter, facility meter, UPS/PDU readings, equipment telemetry, or rated-power assumptions.
- Load profile: Utilization and operating-hour assumptions, including whether the load is stable or changes over time.
- PUE, if used: The value and how its facility-energy numerator and IT-energy denominator were measured.
Compare estimates on the same basis
Before comparing two sites or estimates, align the measurement boundary, time period, and accounting basis. PUE helps describe infrastructure efficiency, but does not by itself state total electricity consumption or how much computing work was delivered. DOE’s 2024 best-practices guide recommends considering PUE alongside measures such as energy reuse, water, carbon, and workload or utilization.
Load-profile assumptions also matter. The U.S. Energy Information Administration (EIA) uses an essentially flat hourly server-electricity load shape in its 2026 outlook; that is a modeling assumption, not a rule for every data center. Use measured hourly or interval data when available. EIA notes that long-range results vary with assumptions about server efficiency and installed stock (EIA 2026 outlook assumptions).
National figures provide scale, not a site benchmark
National estimates can put the topic in context, but they cannot substitute for a facility’s meter readings or establish what an individual site should use.
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- DOE’s Federal Energy Management Program reported estimated U.S. data-center electricity consumption of 176 TWh in 2023, approximately 4.4% of total U.S. electricity use. Its 2025 fact sheet projected compound annual growth of 13%–27% from 2023 through 2028. These are national estimates and projections, not a typical-site figure (DOE 2025 fact sheet).
- EIA’s 2026 outlook projects U.S. data-center server electricity use of 446–818 billion kWh in 2050 across its outlook cases. The range reflects differing assumptions, including server power draw, efficiency, and installed stock; it is a projection, not observed consumption (EIA 2026 outlook assumptions).
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