Bitcoin electricity consumption is the electrical energy used by the computers that mine Bitcoin over a stated period. It is an estimate of the network’s mining load, not a direct reading from a meter that measures every miner. To interpret a figure correctly, distinguish electricity consumed over time from power demand at a particular rate, and check the date and method behind the estimate.
What does Bitcoin electricity consumption mean?
Bitcoin mining uses specialized computers to perform proof-of-work computations. The electricity-consumption metric refers to the energy those computers use collectively over a specified period, such as a month or year. It does not include every possible energy use associated with Bitcoin; its scope is the electricity used by mining activity.
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Because miners operate independently around the world, there is no single network-wide meter recording their total electricity use. Published figures are modeled estimates based on available information about mining activity and equipment.
How is electricity consumption different from power demand?
Power demand is a rate; electricity consumption is energy accumulated over time. The distinction matters when reading network statistics or comparing Bitcoin with another electricity user.
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| Measure | What it describes | Common unit |
|---|---|---|
| Power demand | The estimated rate at which electricity is being used at a particular time or over a daily estimate | Gigawatts (GW) |
| Electricity consumption | The energy used over a stated period | Terawatt-hours (TWh) |
The relationship is energy consumed = average power × time. A watt measures power, while a watt-hour measures energy. A yearly figure may be annualized—projecting an estimated rate across a full year—rather than a tally of energy already consumed in that calendar year.
For example, Cambridge’s Bitcoin Electricity Consumption Index applies a seven-day moving average to smooth short-term hashrate variation. Its monthly consumption figures add daily estimates that assume use continues at the estimated rate for each 24-hour day. The index’s annualized consumption figure is therefore a projection based on its estimated power rate, not necessarily a completed calendar-year total. Cambridge Bitcoin Electricity Consumption Index
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How do researchers estimate Bitcoin’s electricity use?
Cambridge’s Bitcoin Electricity Consumption Index (CBECI) uses a hybrid top-down model. It combines the network’s hashrate—the amount of hashing work performed—with mining revenue, an assumed electricity cost and a basket of real-world mining hardware with different energy-efficiency specifications. Since no complete meter reading exists, the output depends on estimates and assumptions rather than direct observation of every miner. Cambridge methodology update
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Mining hardware efficiency is measured in joules per terahash (J/TH), the energy needed to perform a given amount of hashing work. A lower J/TH value means more efficient equipment. The model assumes miners operate equipment when the revenue from mining covers its operating cost, so estimates depend on both the hardware assumed to be running and the economics of mining.
Lower-bound, best-guess and upper-bound estimates
CBECI reports three modeled cases: a theoretical lower bound assuming miners use the most efficient equipment that remains profitable; an upper bound assuming the least efficient equipment that remains profitable; and a best-guess estimate based on a more realistic equipment mix. These are model scenarios, not readings from three separate meters.
Cambridge’s 2023 methodology revision added device weights and accounted for a delay between new hardware becoming available and being deployed. Without that lag, treating newer and older machines as equally represented could overstate electricity use in some periods. This is one reason figures published at different times may not be directly comparable. Cambridge’s explanation of the revision
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How much electricity does Bitcoin use?
There is no single timeless number: estimates vary by period, method and assumptions. A dated 2025 estimate from the Cambridge Centre for Alternative Finance (CCAF) put Bitcoin mining’s annual electricity consumption at 138 TWh, or about 0.5% of global consumption. The estimate was based on reported data representing 48% of global mining activity, so it should be read as a report-era estimate—not as a live 2026 reading or an exact meter total. CCAF said the underlying survey covered 49 firms headquartered in 16 jurisdictions and operating in 23 countries. CCAF’s 2025 Digital Mining Industry Report announcement
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Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Does electricity consumption tell you Bitcoin’s climate impact?
No. Electricity consumption measures energy use; greenhouse-gas emissions depend in part on where miners operate and what generates their electricity. Other details, including behind-the-meter power use, also matter. CCAF’s 2025 report separately estimated 39.8 MtCO₂e in network-wide emissions. That emissions figure is not another way to express 138 TWh of electricity consumption: one measures greenhouse-gas emissions, the other energy use. CCAF’s 2025 report announcement
How to compare Bitcoin electricity figures fairly
Before comparing two published totals, check that they describe the same kind of quantity and cover comparable periods. In particular, align:
- Period: Identify the calendar year, month or other reporting interval.
- Measure and units: Do not compare power demand in GW with energy consumption in TWh as if they were the same quantity.
- Annualized or observed: An annualized estimate projects a rate over a year; it may not equal energy actually consumed during a completed year.
- Estimate type: Note whether a figure is a lower bound, best guess or upper bound.
- Method and scope: Check the methodology version and, where applicable, the data coverage or survey basis.
These checks also apply when comparing Bitcoin with a country’s electricity use or global consumption: make sure the period and energy measure are comparable before drawing a conclusion.
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