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Sustainable energy solutions in IT require two moves: use less electricity to run computing and its supporting infrastructure, then supply the remaining demand with cleaner energy. Efficiency measures span servers, airflow, cooling, electrical systems, heat recovery and measurement; cleaner supply may come from on-site generation, grid purchases, storage or firm power. The right mix depends on the facility, its workload, climate, grid and operating constraints—not on a single technology or one Power Usage Effectiveness (PUE) score.
Why sustainable energy solutions in IT start with both demand and supply
Data centers use electricity for IT equipment and the infrastructure that keeps it powered and within safe operating conditions. Reducing the IT load can also reduce the work required of cooling and electrical systems, while cleaner electricity addresses the emissions associated with the load that remains. Treating these as connected but distinct tasks helps avoid a common mistake: adding renewable supply while leaving avoidable energy waste untouched.
The scale of the challenge is growing, but estimates are not guarantees. The International Energy Agency estimates that data centers consumed about 415 terawatt-hours (TWh) of electricity worldwide in 2024, roughly 1.5% of global electricity use. Its 2025 base case projects around 945 TWh in 2030; that is a scenario projection, not a measured outcome. AI and accelerated servers are material demand drivers in the IEA outlook, but adoption, efficiency and infrastructure constraints affect what actually happens. IEA, Energy demand from AI; IEA, Executive summary.
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Keep geographies and years distinct when using these figures. Separately, the U.S. Department of Energy’s Federal Energy Management Program (FEMP) estimates U.S. data centers used approximately 176 TWh in 2023, about 4.4% of total U.S. electricity use. That U.S.-only historical estimate is for a different year and geography than the IEA’s global 2024 estimate, so the figures are not a like-for-like comparison. DOE/FEMP, Data Center Energy Efficiency.
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Where data-center efficiency work can reduce electricity demand
Enterprise server rooms, colocation facilities and hyperscale campuses differ in scale, equipment, ownership and operating constraints. There is no universally most-efficient data-center design: DOE/FEMP and NREL present measures for different scenarios rather than one design that fits every site. Treat the following areas as a connected review, not a checklist of upgrades that will all suit every facility. DOE/FEMP, Best Practices Guide for Energy-Efficient Data Center Design; DOE/FEMP and NREL design guide (PDF).
IT equipment and utilization
Start with the computing load. Review server utilization, workload placement and power-management settings; equipment drawing power while underused can consume energy without delivering proportionate computing value. Consolidation or power-management changes may reduce IT demand, but validate them against service requirements, redundancy, performance and hardware support. ENERGY STAR describes server power management as one operational efficiency opportunity; its examples are not a guaranteed savings rate for every site. ENERGY STAR, 16 More Ways to Cut Energy Waste in the Data Center.
Airflow, cooling and environmental conditions
Check for avoidable mixing of hot and cold air, poorly managed airflow, and cooling or HVAC operation that does not match the equipment load. Airflow optimization can help cooling systems work more effectively, but changes must preserve the temperature and humidity conditions required by the installed IT equipment. The IEA reports that cooling accounts for about 7% of electricity use in efficient hyperscale data centers and more than 30% in less-efficient enterprise data centers. Those figures illustrate how strongly cooling’s share varies by facility type and efficiency; they are not a universal target for an individual site. IEA, Energy demand from AI; ENERGY STAR, Optimize Airflow and HVAC.
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Free cooling may be worth evaluating where outdoor conditions, air quality, equipment limits and site design make it feasible. Fans and pumps also belong in the review because their energy use is part of the cooling and air-movement load. Neither free cooling nor a particular temperature setting is suitable for every climate or facility.
Electrical systems, heat rejection and heat reuse
Include UPS operation and other electrical systems in the efficiency assessment; losses in supporting infrastructure contribute to the total facility load. Where a suitable nearby heat user exists, consider whether recovered heat can serve a practical purpose. Heat reuse depends on matching heat supply with a real demand and appropriate infrastructure. DOE/FEMP’s guidance considers IT, mechanical and electrical systems together, and prioritizes efficiency before heat reuse, dry heat rejection where possible and renewable energy. DOE/FEMP and NREL, Best Practices Guide for Energy-Efficient Data Center Design.
How to measure whether efficiency work is helping
Establish a baseline before making changes, then compare performance under sufficiently similar operating conditions. Track facility electricity alongside IT load and workload or utilization measures so that a change in total consumption can be interpreted in context. DOE’s 2025 U.S. fact sheet describes DC Pro as an early-stage assessment tool; it can help identify areas to investigate, but assessment does not replace site-level measurement and verification. DOE/FEMP, Data Center Energy Efficiency.
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Use PUE as one measure, not the verdict
PUE compares total data-center energy with energy used by IT equipment. It is useful for understanding facility overhead, including the energy required to support computing, but it does not by itself describe the full environmental impact of a facility. A PUE value should therefore be read with its measurement boundary and operating conditions in mind, not treated as proof that a site is sustainable.
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Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Which cleaner electricity options can meet data-center demand?
After identifying feasible demand reductions, assess cleaner supply according to location, timing, reliability and implementation constraints. DOE identifies solar, land-based wind, battery storage and energy efficiency as rapidly scalable options for data-center demand, and points to geothermal and nuclear as potential sources of clean firm power. The options play different roles and should not be treated as interchangeable. DOE Office of Electricity, Clean Energy Resources to Meet Data Center Electricity Demand.
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| Option | Potential role | What to evaluate at the site |
|---|---|---|
| Solar | Renewable electricity generation; DOE identifies it as rapidly scalable. | Available site or procurement options, generation timing, grid connection and how its output aligns with load. |
| Land-based wind | Renewable electricity generation; DOE identifies it as rapidly scalable. | Regional resource and procurement availability, delivery arrangements, timing and fit with the facility’s demand. |
| Battery storage | Can support the timing and management of electricity supply; DOE includes storage among rapidly scalable options. | Charging source, operating purpose, duration required, reliability needs and how performance will be measured. |
| Geothermal | Potential source of clean firm power in DOE’s discussion. | Local resource, project feasibility, delivery and timing relative to the facility’s need for dependable power. |
| Nuclear | Potential source of clean firm power in DOE’s discussion. | Availability and delivery arrangements in the relevant market, project timing and fit with reliability requirements. |
The DOE source identifies categories of resources, not a universal ranking, guaranteed project timeline or payback period. For a particular site, compare expected energy reduction or supply, reliability, thermal limits, climate and site suitability, water use, carbon impact and timing, capital and operating cost, implementation time, and ability to measure results. DOE Office of Electricity.
A practical sequence for an IT energy assessment
- Set the boundary and baseline. Identify which server rooms, colocation capacity or data-center facilities are in scope. Record facility electricity and IT load over a representative period, alongside workload or utilization context, so later comparisons have a reference point.
- Find avoidable IT demand. Review utilization, workload placement and server power-management settings. Test any changes against performance, availability, redundancy and equipment requirements before broad deployment.
- Inspect cooling and airflow. Look for airflow imbalances, unnecessary mixing and HVAC operation that does not match the load. Check fans, pumps and environmental conditions; assess free cooling only where site and equipment conditions allow.
- Review power delivery and heat. Include UPS and electrical-system operation. Consider heat reuse only if a suitable, dependable nearby demand and practical delivery infrastructure exist.
- Choose metrics and verify changes. Track PUE for facility overhead alongside the measures relevant to water, carbon and heat reuse. Benchmark consistently and verify outcomes after changes rather than relying on design estimates alone.
- Assess cleaner supply for the residual load. Compare suitable on-site generation, regional or grid-based procurement, storage and potential firm-power options. Test each against timing, reliability, availability, cost and implementation constraints.
This sequence follows the efficiency-first, then heat-reuse and cleaner-supply logic in DOE/FEMP guidance, while leaving the exact measures to site conditions. DOE/FEMP, Best Practices Guide for Energy-Efficient Data Center Design; DOE Office of Electricity.
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