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Data centres power cloud services, storage, streaming and AI, but their environmental footprint is not captured by one efficiency number. Their electricity demand also drives indirect emissions, while cooling and other operations can require water. In the European Union, covered data centres must report specified energy, water and related indicators; the EU database and dashboard make that framework a concrete, though not necessarily facility-by-facility, transparency mechanism.
Why data-centre transparency matters now
Knowing how much energy and water a data centre uses helps distinguish a more efficient facility from one whose total demand is simply larger. It also shows whether electricity sourcing, water use and waste-heat recovery are changing alongside digital demand. The European Commission says data centres support services including cloud computing, storage, AI and streaming, and identifies rising energy demand, cooling-water needs and emissions from power that is not decarbonised as environmental concerns. It states that greater operator transparency is key to measuring the energy consumption and environmental and climate impact of EU data centres (European Commission, Energy performance of data centres).
The Commission, citing the IEA’s 2025 Energy and AI report, says data centres account for about 1.5% of global annual electricity consumption, or 415 TWh. The same source cites a projection that consumption could exceed 945 TWh by 2030, primarily as energy-intensive accelerated computing grows, mainly for AI. These are an estimate and a projection—not audited totals for every facility or a guaranteed future outcome (European Commission).
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For context within Europe, the Commission reported that data centres consumed 76.8 TWh in the EU in 2018, equal to 2.7% of EU electricity demand that year. Its 2024 account said the then-current trajectory projected at least 3.2% by 2030; that is a forecast made at the time, not a current measurement. The same announcement cited an estimate close to 3% of EU electricity demand, which should likewise be read as an estimate rather than a universal or current facility-level figure (European Commission, 2024).
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Electricity use also has climate implications. The IEA’s 2025 analysis estimates that data centres produce around 180 Mt of indirect CO₂ emissions from electricity consumption today, excluding backup-power emissions. The IEA compares this with 35,000 Mt of global fuel-combustion emissions estimated for 2024. In the IEA’s Base Case, indirect data-centre emissions grow by almost 80% over the decade and reach 1% of combustion emissions; in its Lift-Off Case, they grow 2.5 times and reach 1.4%. These are scenario results, not certain predictions (IEA, Energy and AI).
AI’s possible climate benefits do not cancel out its footprint
The IEA also models potential emissions reductions if AI applications are widely adopted in other sectors. Its Widespread Adoption Case estimates 1,400 Mt of possible reductions in 2035, but the IEA cautions that there is currently no momentum that could ensure widespread adoption. Barriers to implementation and rebound effects could also limit or offset benefits. This is conditional potential, not evidence that AI’s climate benefits outweigh data-centre impacts (IEA, Energy and AI).
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What EU rules require data centres to report
The EU Energy Efficiency Directive established monitoring and reporting obligations for data centres. Delegated Regulation (EU) 2024/1364 specifies the information and indicators for the reporting scheme. The Commission says the European database collects and publishes information relevant to the energy performance and water footprint of data centres with significant energy consumption. Its dashboard presents aggregated information foreseen by the directive and regulation; that does not establish that every facility’s data is publicly available as a separate record (European Commission; Delegated Regulation (EU) 2024/1364).
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Indicators and reporting periods
The regulation covers indicators that include total energy use, power utilisation, temperature set points, waste-heat use, water use and renewable-energy use. The reporting schedule began with a deadline of 15 September 2024, followed by 15 May 2025 and 15 May each year thereafter, covering the preceding calendar year. A facility operating for less than a full year reports for its operating period and identifies that period. Operators assessing a specific legal obligation should check current national implementation and any amendments; this overview is not facility-specific legal advice (Delegated Regulation (EU) 2024/1364).
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How the regulation defines water reporting
For water input, the regulation calls for measuring water entering the data-centre boundary and used in relation to its functions, including environmental, power, security and IT functions. It specifies the EN 50600-4-9 Water Usage Effectiveness methodology: Category 2, or Category 1 if Category 2 is not possible, or an equivalent standard. Reporting facilities identify the category used. A standardized volume is useful for comparison, but does not by itself say how scarce water is in the facility’s location (Delegated Regulation (EU) 2024/1364).
What is still proposed or planned
The Commission’s current policy page says it proposed a common rating scheme on 21 September 2026 to make energy and water use more transparent and improve comparisons between data centres in the same region. It is also preparing minimum-performance standards. The consultation was open until 14 December 2026, with a proposal planned for the second quarter of 2027. These are proposed or planned policy developments, not minimum-performance rules already in force. The reporting requirements described above are distinct from this evolving work (European Commission).
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How to compare data centres without relying on one score
Efficiency indicators can help compare operations, but they do not replace absolute consumption or other environmental measures. This follows from the regulation’s separate indicators and the Commission’s stated interest in both energy and water transparency: an improvement in a ratio is not automatically a reduction in a facility’s total environmental impact.
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- Energy: Look at absolute consumption as well as efficiency indicators. A ratio alone cannot show the total electricity demand of a facility.
- Water: Consider total water input, the WUE methodology and category used, and the facility’s local water context. A standardized measurement is not a local scarcity assessment.
- Emissions and electricity sourcing: Check whether figures describe indirect emissions from purchased electricity, direct emissions, backup generation or some combination. The IEA’s 180 Mt estimate covers indirect electricity-related emissions and excludes backup power.
- Renewable energy and grid interaction: Review reported renewable-energy use and, where relevant, whether operations can shift or respond flexibly to support renewable integration. The Commission describes flexibility as a potential system benefit, not an automatic outcome.
- Waste heat: Check whether heat is reused and where—for example, by nearby facilities or heat networks. Reporting heat reuse is different from demonstrating that useful recovery occurs in practice.
- Location, period and reporting scope: Compare facilities in an appropriate regional and time-period context. An aggregated EU dashboard should not be treated as facility-level public disclosure unless its underlying data supports that reading.
These distinctions matter because the indicators answer different questions: how much energy and water are used, how efficiently they are used, where emissions arise, and whether energy or heat is reused. A single label may help summarize performance, but it cannot substitute for those underlying details.
What the EU framework does—and does not—tell the public
The framework creates a common reporting basis for covered data centres and a European database with an aggregated dashboard. It does not make EU requirements global disclosure rules, establish the compliance status of any individual facility, or guarantee that the public can inspect a complete facility-level dataset. Those limits are important when using published figures to assess a particular operator or compare sites in different regions.
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