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How Data Centers Can Reduce Energy Use and Environmental Impact

Data centers can reduce their footprint through efficient IT, better airflow and cooling, clear energy and water metrics, useful heat reuse, and lower-carbon electricity—chosen for the site’s climate and constraints.
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Data centers can reduce energy use and environmental impact by making IT systems and facility equipment more efficient, managing airflow and cooling carefully, tracking water and carbon as well as energy, reusing heat where a suitable recipient exists, and sourcing lower-carbon electricity. The right mix depends on the site’s climate, water availability, grid, workload density, reliability needs, and access to heat users; there is no single most-efficient design for every facility.

Start with the load, not just the cooling plant

A data center’s environmental footprint reflects both the electricity consumed by its IT equipment and the additional energy and resources used to support it. Improving servers and the services running on them can reduce the underlying IT load. That can also lower demand on cooling, fans, pumps, and electrical infrastructure. This is why the U.S. Department of Energy’s Federal Energy Management Program (DOE FEMP) puts IT-system efficiency and environmental conditions near the beginning of its July 2024 Best Practices Guide for Energy-Efficient Data Center Design.

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Improve utilization and remove avoidable work

Review which systems are doing useful work, how much capacity is idle, and whether workloads can be consolidated without compromising service levels or resilience. Retire or consolidate unused capacity only after confirming that applications, failover arrangements, and operational teams do not depend on it. When replacing equipment, select for the actual workload and operating profile rather than a headline efficiency figure detached from the facility’s needs.

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Measure utilization and energy use at a level that helps identify persistent idle capacity and inefficient workloads. Work with application owners before making changes: a server that appears quiet at one moment may be reserved for a scheduled task, peak demand, or recovery. Consolidation can reduce the number of active systems, but it can also increase density in the remaining racks, making airflow and cooling capacity more important.

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Check electrical and mechanical overhead

After understanding the IT load, examine electrical distribution and UPS operation, along with fan and pump controls. Look for opportunities to avoid unnecessary conversion losses or equipment running harder than the current load requires. DOE FEMP’s guidance covers these systems as part of a whole-facility approach; changes must preserve required redundancy and operating margins.

Make environmental settings an engineering decision, not a guess. Align temperature and humidity conditions with equipment guidance, facility design, and reliability requirements. Avoid compensating for poor airflow by making the entire room colder: first check whether hot and cold air are mixing or whether cooling is reaching the equipment that needs it.

Control airflow before adding cooling capacity

Air management aims to keep the supply air where equipment needs it and prevent hot exhaust from returning to intakes. Separate hot and cold air streams, limit bypass air that misses IT equipment, and reduce recirculation that sends exhaust back into the cold side. These steps can make existing cooling more effective and reduce avoidable fan or chiller work.

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Look for bypass, recirculation, and unused openings

  • Inspect rack and aisle arrangements for gaps that let supply air bypass equipment or hot exhaust return to intakes.
  • Use rack blanking panels to close unused rack spaces where appropriate. They are one airflow-management accessory, not a stand-alone energy measure or a guarantee of savings.
  • Check whether cable openings, floor or ceiling paths, and containment details undermine the intended separation between supply and exhaust air.
  • Verify that sensors represent conditions at the equipment inlets rather than relying on a single room-level reading.

After adjustments, confirm that conditions remain within equipment and operational requirements across the facility. A change that improves one aisle but creates a hotspot or undermines redundancy elsewhere is not a successful efficiency measure.

Use economizers when the conditions support them

Air-side and water-side economizing can reduce or bypass some compressor-based cooling when outdoor conditions and system design allow. Air-side economizing depends on climate, temperature and humidity set points, and outdoor air quality. Water-side economizing can reduce chiller work under suitable conditions. Neither is an always-on efficiency shortcut: controls must respond to changing conditions, and operating limits must protect equipment and service reliability.

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DOE FEMP’s January 2019 resource, Cooling Water Efficiency Opportunities for Federal Data Centers, describes these concepts. It is a technical reference rather than a substitute for current site-specific engineering review, particularly when equipment, controls, or operating requirements have changed.

Choose cooling by energy, water, and operating context

Cooling options should be compared on more than electricity use. Include water consumption and local water conditions, climate, rack density, reliability, maintenance needs, and the temperature and form of heat the system can deliver. A design that performs well in one region or workload may be a poor fit elsewhere.

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Cooling approach Potential benefit Important trade-off or condition
Air-side economizing Can reduce compressor-based cooling when outdoor air can contribute to cooling. Depends on outdoor temperature, humidity, air quality, set points, and system design.
Water-side economizing Can bypass or reduce chiller work under suitable conditions. Effect depends on the cooling design and operating conditions; water use and availability still matter.
Evaporative cooling Can reject heat efficiently. Consumes water, which may be a significant concern in water-stressed locations.
Dry heat rejection Avoids the water consumed through evaporation. May change energy use or capacity requirements; evaluate performance for the local climate and design.
Liquid cooling Moves heat from high-density IT equipment into a liquid loop and can suit some high-density applications. It changes facility cooling requirements and may affect heat-reuse opportunities; DOE describes direct liquid cooling as promising in some applications, not a universal answer.

For high-density workloads, liquid cooling may be worth evaluating because it transfers heat from IT equipment into a liquid loop. Its benefits depend on the system design and on what happens to that heat afterward. It should be assessed alongside facility cooling, water use, maintenance, reliability, and any potential heat customer rather than treated as a complete sustainability solution by itself.

For a water-conscious site, dry heat rejection may avoid evaporative water consumption, but the design can have different energy or capacity requirements. Conversely, a cooling method that performs well on energy may be inappropriate where water is scarce. Make the trade-off explicit rather than optimizing one resource while overlooking another.

Measure energy, water, carbon, and recovered heat

A single number cannot describe a facility’s full environmental performance. Use metrics with clear boundaries, consistent measurement periods, and enough context to compare like with like. DOE FEMP’s guide covers benchmarking and environmental performance measures; Canada’s 2024 data-center best-practice guide also addresses relevant metrics.

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Measure What it tells you What it does not establish on its own
PUE (Power Usage Effectiveness) Total facility energy divided by IT equipment energy. A lower value indicates less facility overhead relative to IT energy. It does not show whether the facility uses little water, has low-carbon electricity, or delivers useful recovered heat.
WUE (Water Usage Effectiveness) Water use per unit of IT energy. DOE FEMP describes a site-water version expressed in liters per kilowatt-hour. Results depend on the boundary: a source-based version may include water used off-site to produce electricity. State which definition is used.
CUE (Carbon Usage Effectiveness) A carbon-impact measure that complements PUE. Results depend on emissions accounting boundaries and the electricity mix.
ERE (Energy Reuse Effectiveness) DOE’s measure for describing energy reuse at a data center. A metric does not prove that recovered heat has a useful recipient or creates a net benefit.
ERF (Energy Reuse Factor) The European Union reporting framework’s measure for energy reuse. It does not replace evidence that a nearby heat user can use the energy at the right temperature and time.
REF (Renewable Energy Factor) A measure included in the European Union reporting framework for renewable energy. Any renewable-energy claim needs clear geographic and temporal boundaries.

For useful comparisons, record the measurement boundary and period for every figure, and do not compare results calculated on different scopes as if they were equivalent. Pair PUE with water, carbon, and heat-reuse measures. PUE can reveal facility overhead, but a low PUE does not by itself mean low environmental impact.

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Build a comparison around the site’s constraints

When weighing designs or interventions, assess the same factors for each option:

  • Energy performance, including the IT load and facility overhead.
  • Water consumption and local water stress, including any off-site water within the chosen WUE boundary.
  • Electricity carbon intensity and how electricity sourcing is accounted for.
  • Whether recovered heat has an actual nearby user and is available at a useful temperature and time.
  • Reliability, resilience, maintenance needs, workload, and rack density.
  • Climate, lifecycle considerations, and operating cost.

DOE FEMP’s 2024 guide states: “No design guide can offer ‘the most energy-efficient’ data center design, but these guidelines can provide efficiency benefits for a wide variety of data center scenarios.” The practical implication is to compare options against local needs, not to chase a single universal target.

Reuse heat only when a real use exists

Heat recovery can reduce waste when a nearby building, industrial process, or heat network can use the recovered energy. The European Commission’s data-center guidance highlights reuse in nearby facilities and heat networks, while DOE FEMP includes heat recovery among its design considerations.

Check the recipient before counting a benefit

Before investing in heat recovery or making an environmental claim, establish whether a heat user exists and can accept heat at the temperature the data center can deliver. Check distance, seasonal demand, timing, and the infrastructure needed to move the heat. A nearby user with little demand during the data center’s available heat periods may not provide a meaningful use. If there is no suitable recipient, focus on efficient heat rejection and the site’s energy and water priorities instead.

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ERE or ERF can help describe energy reuse, but neither eliminates the need to explain the system boundary and the actual use. Do not present recovered heat as a guaranteed economic or environmental benefit without site-specific evidence.

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Reduce the carbon intensity of electricity

Efficiency and electricity sourcing address different parts of the problem. Efficiency reduces the amount of electricity required; a lower-carbon supply reduces the emissions associated with the electricity still used. DOE FEMP identifies renewable energy from on-site sources or within the grid region as a sustainability priority and connects renewable-energy assessment with CUE.

When describing renewable electricity, state the geographic and temporal boundaries of the claim. Annual matching alone does not communicate when or where electricity was generated relative to a facility’s consumption. For carbon metrics, explain the emissions-accounting boundary and electricity mix used so that comparisons have meaning.

Use the right benchmark and keep policy claims specific

In the United States, EPA’s data-center resources describe ENERGY STAR benchmarking and point operators toward efficiency guidance, training, and assessment tools. DOE also provides practitioner resources. These are ways to evaluate and benchmark facility performance, not evidence that one commercial provider or product is appropriate for every operator.

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The European Commission describes data-center reporting and assessment using PUE, WUE, ERF, and REF, and highlights energy and water efficiency, renewable energy, waste-heat reuse, and grid efficiency. Reporting requirements depend on jurisdiction. Confirm the current rules that apply to the facility before claiming compliance; an overview page is not a substitute for checking applicable legislation and implementation details.

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A practical order of operations

Use a sequence that connects measurement to changes and then verifies outcomes. The order below helps avoid buying a cooling solution before understanding the load or claiming a benefit from a metric with unclear boundaries.

  1. Define the facility boundary. Identify which IT equipment, building systems, water flows, and electricity sources are included in performance reporting. Record the period and method for each measure.
  2. Establish a baseline. Track facility and IT energy alongside water use, electricity carbon assumptions, and any energy reuse. Use PUE, WUE, CUE, and heat-reuse measures only with their definitions and boundaries stated.
  3. Inspect the IT load. Identify underused or idle capacity, opportunities to improve utilization, and equipment replacement needs. Confirm with application and operations owners before consolidating or retiring systems.
  4. Review airflow and environmental settings. Check bypass, recirculation, rack openings, sensor locations, and fan controls. Align settings with equipment guidance and operational requirements.
  5. Evaluate cooling options in local context. Compare economizing, evaporative or dry heat rejection, and liquid cooling where relevant against energy, water, climate, density, reliability, and maintenance needs.
  6. Investigate heat use and electricity supply. Identify a genuine heat recipient before counting reuse, and evaluate feasible lower-carbon electricity options with clear geographic and temporal accounting.
  7. Verify performance after changes. Compare results against the baseline using consistent boundaries. Check that an improvement in one measure has not caused an unacceptable increase in water use, carbon impact, reliability risk, or operating burden.

What the sector-level numbers do—and do not—say

The U.S. Department of Energy cites an Electric Power Research Institute estimate that data centers could account for up to 9% of U.S. electricity generation annually by 2030, compared with 4% of total U.S. load in 2023. The 2030 figure is an estimate, not a measured outcome or a prediction of savings from a particular intervention.

The European Commission cites an International Energy Agency projection that data-center electricity consumption could more than double toward 945 TWh by 2030. This is a projection, not a measurement of future consumption at a particular site. It explains why facility-level improvements matter, but it does not imply that every data center has the same load growth or that a particular technology will deliver a fixed reduction.

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DOE’s clean-energy resources also report a PUE of 1.03 for DOE national-laboratory exascale facilities. That is an example for those facilities, not a typical industry value or a target that can be applied without regard to design and operating conditions.

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