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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11More sustainable data centers start with the whole facility: the computing equipment, the systems that power and cool it, and the local conditions those systems depend on. The practical priorities are to reduce demand across IT and facility systems, manage cooling energy and water together, and evaluate sites and energy strategies in their local grid and reliability context.
Why data-center sustainability is a facility-level problem
Data centers need dependable electricity to keep computing services available, while their power and cooling systems bring environmental impacts. The International Energy Agency (IEA) estimates that data centers used about 1.5% of global electricity in 2024, or 415 TWh. That global share does not tell the whole story: demand is concentrated in particular markets, where local grid effects can be more significant. IEA, Energy and AI executive summary
U.S. demand is growing, too. A June 2026 Lawrence Berkeley National Laboratory report estimates that data centers could account for 11.8% of total U.S. electricity consumption in 2030, with modeled scenarios ranging from 9.5% to 15.3%. The report also estimates U.S. data-center electricity use rose 14% between 2023 and 2024. These figures describe a historical estimate and scenario-based projections, not a settled outcome. Lawrence Berkeley National Laboratory report
Efficiency per computation is important, but it does not guarantee that total electricity use will fall: demand can grow enough to offset efficiency gains. That is why sustainability work needs both operational improvements and attention to the facility’s total demand.
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1. Reduce demand across IT and facility systems
Start with the computing equipment and the conditions it needs to operate reliably. The U.S. Department of Energy’s Federal Energy Management Program (FEMP) treats IT efficiency and environmental conditions as early design considerations because they affect the loads that mechanical and electrical systems must serve. Its guide also covers air management, cooling, electrical systems, heat recovery, and benchmarking. DOE FEMP, Best Practices Guide for Energy-Efficient Data Center Design
Ask where energy is going
- Is server capacity being used effectively, or is equipment drawing power while delivering little useful work?
- Are operating temperature and humidity targets tighter than the equipment’s requirements call for?
- Does airflow reach the equipment that needs it, or bypass the IT load?
- Which facility systems account for overhead energy, and are they operating as intended?
These questions are diagnostic, not a universal prescription. A change that works in one facility may be unsuitable in another because of equipment limits, controls, climate, or reliability requirements.
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Establish a baseline and verify changes
Benchmark facility and IT performance before making changes, then measure again under comparable conditions. This helps distinguish a genuine reduction from a change caused by workload, weather, or another operating condition. FEMP notes that no single design is the most efficient for every data center; its guidance is meant to support a range of scenarios.
2. Manage cooling energy and water as linked outcomes
Cooling is a meaningful opportunity, but it does not consume the same share of energy at every site. The IEA estimates that cooling and environmental control account for about 7% of electricity at efficient hyperscale facilities and more than 30% at less-efficient enterprise facilities. Facility type and efficiency matter, so neither figure should be treated as a universal benchmark. IEA, Energy demand from AI
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Cooling choices can affect both electricity and water use. Track the two outcomes separately: a cooling strategy that reduces energy may have different implications for water, depending on its design and local conditions.
Use water metrics with a clear boundary
DOE FEMP defines water usage effectiveness (WUE) as annual site water use in liters divided by annual IT-equipment energy use in kWh. State the metric and its boundary when comparing facilities; WUE alone does not describe electricity emissions, local water availability, or reliability. DOE FEMP, Best Management Practices for Water Efficiency in Data Centers
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Evaluate operating strategies for the site
FEMP discusses using suitable temperature and humidity set points, air-side economizing when outdoor conditions and air quality permit, water-side economizing where systems are compatible, and cooling-tower cycles of concentration. These approaches depend on climate, water quality, controls, equipment limits, system design, and operating requirements; they are not instructions to apply unchanged at every facility.
The same FEMP page reports a potential 20% reduction in chiller energy consumption from practices that enable higher chilled-water temperatures and reduced airflow, citing its design guide. It also reports that increasing cooling-tower cycles from three to six reduces makeup-water requirements by 20% and blowdown by 50%, citing FEMP’s cooling-tower best-management practice. These are guide-specific, system-dependent figures, not guaranteed savings. Confirm that the measures suit the facility and its current engineering requirements before implementation.
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3. Plan around local energy, water, and reliability conditions
A facility’s impact depends in part on where it is built and how it is supplied. Global electricity figures describe the sector at a broad level, but concentrated demand can place distinct pressure on local grids. Similarly, water performance needs to be considered in the context of the site’s water availability rather than inferred from an efficiency metric alone.
For a proposed or existing facility, assess these factors together:
- Electricity demand: absolute use and its trend, not only efficiency per unit of computing.
- IT and cooling performance: how effectively computing equipment is used and how much facility energy goes to cooling and environmental control.
- Water: WUE and the local availability or constraints relevant to the cooling system.
- Electricity supply: the local grid and emissions context, alongside the reliability needed to serve workloads.
- Practicality: whether proposed upgrades are compatible with the facility and feasible to operate over time.
There is no evidence here for one cooling technology, site choice, or metric as a complete sustainability answer. Compare energy, water, reliability, and local conditions explicitly rather than collapsing them into one score. U.S. electricity projections should also stay distinct from global observations: the Berkeley Lab scenarios apply to the United States, while the IEA’s 2024 consumption estimate is global.
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