Data Center Energy Consumption in 2026: Levers to Reduce Electricity, Water Use, and Carbon Emissions

Data centers are under unprecedented energy pressure in 2026.

If you’re looking for practical levers to cut data center electricity demand, cooling water consumption, and carbon emissions, the good news is that many improvements are available right now—provided you measure the right KPIs, optimize both IT and facility layers, and connect energy strategy with digital operations.

At Score Group, our mission is to support organizations in their energy and digital transformation with tailored solutions—where efficiency embraces innovation. Our approach is built on three pillars: Energy, Digital, and New Tech, delivered through our divisions Noor Energy, Noor ITS, Noor Technology, and Noor Industry.

(<a href="https://www.iea.org/reports/energy-and-ai/executive-summary" target="_blank" rel="noopener noreferrer">iea.org</a>)

Why 2026 is a turning point for data center energy, water, and carbon

Electricity demand: efficiency gains are no longer enough on their own

Globally, data centres accounted for about 415 TWh of electricity consumption in 2024 (around 1.5% of global electricity use), and the IEA projects consumption is on course to more than double towards ~945 TWh by 2030, with AI as a major driver. (<a href="https://www.iea.org/reports/energy-and-ai/executive-summary" target="_blank" rel="noopener noreferrer">iea.org</a>)

Forecasts for 2026 are inherently uncertain (definitions, workloads, and AI deployment scenarios vary), but policy research drawing on IEA analysis highlights a wide band: ~620–1050 TWh/year by 2026. This range is a useful reminder: your 2026 strategy must be robust to uncertainty, not based on a single “perfect” forecast. (<a href="https://www.iea-4e.org/wp-content/uploads/2024/02/Empowering-Efficiency_A-Policy-Perspective-on-Data-Centres-.pdf" target="_blank" rel="noopener noreferrer">iea-4e.org</a>)

In the U.S., growth is quantified—and it’s steep

In the United States, Lawrence Berkeley National Laboratory (for the U.S. DOE) estimates data centers reached 176 TWh in 2023 (about 4.4% of total U.S. electricity consumption). Their scenario range reaches ~325 to 580 TWh by 2028, equivalent to ~6.7% to 12.0% of U.S. electricity use. (<a href="https://eta-publications.lbl.gov/sites/default/files/2024-12/us_data_center_energy_usage_report_lbnl-2001637_0.pdf" target="_blank" rel="noopener noreferrer">eta-publications.lbl.gov</a>)

Water is now a first-order constraint (not a footnote)

Data centers are also among the most energy-intensive building types—EPA notes they can consume 10 to 50 times more energy per square foot than a typical office building. That matters because high electricity intensity often correlates with high cooling intensity, and therefore higher water risk (directly on site and indirectly via power generation). (<a href="https://www.epa.gov/newsreleases/energy-star-expands-efforts-improve-energy-efficiency-us-data-centers" target="_blank" rel="noopener noreferrer">epa.gov</a>)

The KPI set you need in 2026 (beyond “just PUE”)

In 2026, the most effective programs treat energy and sustainability as a measurement and control problem across IT, cooling, electrical distribution, and procurement. Two standards are particularly helpful as reference points:

• PUE standardization: ISO/IEC 30134-2:2026 (published January 2026) defines and standardizes the measurement and reporting of Power Usage Effectiveness (PUE). (<a href="https://www.iso.org/standard/85172.html" target="_blank" rel="noopener noreferrer">iso.org</a>)

• Energy management system: ISO 50001 provides a continuous-improvement framework (policy, targets, data-driven decisions, measurement, review). (<a href="https://www.iso.org/iso-50001-energy-management.html" target="_blank" rel="noopener noreferrer">iso.org</a>)

Metrics cheat sheet (what to track and why)

Metric	What it tells you	Why it matters in 2026	Common pitfalls
PUE	Total facility energy divided by IT energy (how much overhead you spend to deliver IT kWh).	Still the fastest way to spot cooling/power-chain inefficiency and benchmark sites.	Can improve while total kWh rises; ignores IT efficiency and carbon intensity.
WUE	Liters of water used per kWh of IT energy (direct on-site water efficiency).	Water constraints are now a siting and operating risk; WUE guides cooling choices.	Doesn’t reflect local water stress; can look “good” in a water-stressed basin.
WUI (Water Usage Impact)	Water impact adjusted for local water stress.	Helps prevent “efficient-but-in-the-wrong-place” outcomes.	Requires reliable location data and stress factors; needs governance.
kgCO₂e/kWh + tCO₂e	Carbon intensity of electricity and total emissions.	Turns energy choices into climate outcomes; enables carbon-aware operations.	Confusion between location-based vs market-based accounting; double counting.
Utilization & IT efficiency	How much “useful compute” you get per kWh.	AI and high-density racks make IT-side optimization a major lever again.	Harder to standardize; requires workload visibility and FinOps/MLOps alignment.

(<a href="https://www.thegreengrid.org/resources/library-and-tools/wui-scoring-calculator" target="_blank" rel="noopener noreferrer">thegreengrid.org</a>)

On benchmarking: Uptime Institute’s survey data shows the industry-average PUE has been relatively flat in recent years (e.g., around 1.58 in 2023, and an industry average of 1.56 reported in the 2024 survey results). At the same time, newer designs often achieve ~1.3 (or better), meaning many organizations still have significant headroom—especially in legacy sites. (<a href="https://uptimeinstitute.com/uptime_assets/7425ec68d479c5d78a743df94a79b114ed9f9c73f13b6460949d2b8e73373209-GA-2024-07-uptime-institute-global-data-center-survey-results-2024.pdf?mkt_tok=NzExLVJJQS0xNDUAAAGVzc9cTnHL5jy6C74ts8kqmpKq6JkOL7re0jNFRB7_2bvjbuRUaoxqLrWFM-yhdsH-WMuj8fj3yK6_XYGqucf4g-jLw7Y4HYpyve2iA379qMI" target="_blank" rel="noopener noreferrer">uptimeinstitute.com</a>)

Electricity reduction levers (the 2026 priority stack)

Electricity reduction is the foundation: it lowers cost exposure, reduces the size of renewable procurement needed, cuts upstream water footprint, and makes resilience strategies (UPS, generators, storage) more manageable.

1) Make IT efficiency measurable (not assumed)

In many environments, facility teams optimize cooling brilliantly—while the IT layer silently drifts toward lower utilization and higher always-on consumption. A 2026-ready program typically includes:

• Right-sizing and decommissioning: identify idle/underused servers, storage arrays, and network ports; remove or consolidate safely.

• Virtualization and container density: raise average utilization while preserving performance SLOs.

• Power management policies: CPU/GPU power states, scheduled batch windows, and “turn down” policies for non-critical environments.

• AI workload governance: MLOps practices that reduce retraining waste, improve inference efficiency, and align model selection with energy targets.

2) Upgrade cooling strategy for high-density reality

Cooling is no longer only an airflow problem; it is a heat-flux management problem. In 2026, the practical levers include:

• Air management basics (still high ROI): containment, blanking panels, sealing bypass paths, and calibrated setpoints.

• Economization/free cooling where climate allows: maximize hours where compressors/chillers are minimized.

• Liquid cooling adoption (targeted): direct-to-chip or rear-door heat exchangers for the hottest racks, while keeping the rest of the room optimized for air.

• Higher cooling water temperatures: where compatible, enables more efficient heat rejection and increases heat reuse potential.

For engineering best practices and environmental guidelines, ASHRAE provides a dedicated data center resources hub covering cooling, power distribution, energy efficiency, and thermal management. (<a href="https://www.ashrae.org/about/news/2024/ashrae-launches-comprehensive-data-center-resources-hub" target="_blank" rel="noopener noreferrer">ashrae.org</a>)

3) Reduce losses in the electrical chain (UPS, distribution, conversion)

Electrical losses become substantial at scale—especially when redundancy, partial loading, and multiple conversion steps are layered in. Typical actions include:

• UPS optimization: right-size modules, avoid chronic low-load operation, and validate operating modes against efficiency curves.

• Power distribution review: transformers, PDUs, and busways sized to actual growth plans, not “worst-case forever.”

• Harmonics and power quality management: protect efficiency and equipment life while reducing avoidable losses.

4) Digitalize operations: metering, analytics, and control loops

You can’t optimize what you don’t measure. In 2026, strong operators typically deploy:

• Granular metering: IT load, cooling subsystems, UPS input/output, and water meters (at minimum at plant and hall levels).

• DCIM / monitoring + alarm hygiene: trend-based detection (drift in PUE, stuck dampers/valves, abnormal fan power).

• AI-assisted optimization: not as a “black box,” but as a supervised tool to propose setpoint adjustments and predict peaks.

5) Add flexibility: shift or shape load when the grid is constrained

The U.S. DOE explicitly highlights strategies such as enabling data center flexibility through onsite generation and storage so facilities can be a grid asset rather than a burden. Practically, this can include demand response participation, battery-assisted peak shaving, and workload scheduling for non-real-time tasks. (<a href="https://www.energy.gov/articles/doe-releases-new-report-evaluating-increase-electricity-demand-data-centers" target="_blank" rel="noopener noreferrer">energy.gov</a>)

Electricity levers overview (what to do first)

Lever	Best for	Main KPI(s)	What you must have in place
Granular energy metering + baselining	All sites	PUE, kWh, peak kW	Meter plan, data model, ownership (ops + energy)
Airflow & containment improvements	Legacy air-cooled rooms	PUE, fan kW	Thermal maps, rack discipline, maintenance process
Chiller/plant optimization & controls tuning	Sites with chilled water plants	Cooling kW, PUE	Control sequences, sensor calibration, operator runbooks
Targeted liquid cooling for high-density racks	AI/HPC zones	PUE, rack temperature compliance	Rack readiness, leak detection, redundancy design
UPS right-sizing and power-chain efficiency review	Partially loaded or overbuilt sites	Electrical losses, PUE	Accurate load forecast, redundancy policy, testing plan
Workload governance (utilization, scheduling)	Enterprises + platforms	kWh per service unit, utilization	IT/ops alignment, tagging, SLO/SLA clarity

Water reduction levers (direct cooling water + indirect “power water”)

Start with the right mental model: direct vs indirect water

Water discussions often focus on the cooling tower you can see. But a large share of water impact can be “embedded” in electricity production (depending on the generation mix and region).

LBNL estimates U.S. data centers directly consumed about 21.2 billion liters of water in 2014 and 66 billion liters in 2023. Looking ahead, hyperscale data centers in 2028 are expected to consume between 60 and 124 billion liters (scenario range). (<a href="https://eta-publications.lbl.gov/sites/default/files/2024-12/us_data_center_energy_usage_report_lbnl-2001637_0.pdf" target="_blank" rel="noopener noreferrer">eta-publications.lbl.gov</a>)

For indirect impacts, LBNL estimates that the 176 TWh of electricity used by U.S. data centers in 2023 corresponded to an indirect water footprint of nearly 800 billion liters and associated grid-mix emissions of 61 billion kg CO₂e. They also report national-average intensities of about 4.52 L/kWh (indirect water) and 0.34 kg CO₂e/kWh for data center electricity use (not incorporating facility-level PPAs or behind-the-meter generation). (<a href="https://eta-publications.lbl.gov/sites/default/files/2024-12/us_data_center_energy_usage_report_lbnl-2001637_0.pdf" target="_blank" rel="noopener noreferrer">eta-publications.lbl.gov</a>)

Water lever 1: choose cooling approaches that minimize evaporation

Evaporative cooling can be energy-efficient, but it consumes water through evaporation and can increase local water stress. In 2026, common water-reduction pathways include:

• Closed-loop liquid cooling architectures (where feasible) to reduce or eliminate evaporative losses.

• Hybrid systems that use evaporation only during peak ambient conditions.

• Higher supply temperatures to reduce compressor hours (and sometimes reduce water consumption depending on system design).

Example of an industry direction: Microsoft states it launched (starting August 2024) a new data center design that consumes zero water for cooling (no evaporation) and says it can avoid more than 125 million liters of water per year per datacenter. It also reports an average withdrawal WUE of 0.30 L/kWh (FY2024 global average) and highlights the trade-off that shifting away from evaporative systems can increase PUE (electricity), requiring careful system-level optimization. (<a href="https://www.microsoft.com/en-us/microsoft-cloud/blog/2024/12/09/sustainable-by-design-next-generation-datacenters-consume-zero-water-for-cooling/" target="_blank" rel="noopener noreferrer">microsoft.com</a>)

Water lever 2: use “water-stress-aware” metrics (WUI, not only WUE)

Two facilities with the same WUE can have very different real-world impact if one is in a water-stressed basin. The Green Grid provides a Water Usage Impact (WUI) approach that adjusts water consumption by local water stress, supporting better siting and operational decisions. (<a href="https://www.thegreengrid.org/resources/library-and-tools/wui-scoring-calculator" target="_blank" rel="noopener noreferrer">thegreengrid.org</a>)

Water lever 3: shift to alternative water sources (carefully)

Where regulation and local infrastructure allow, operators may use reclaimed or recycled water to reduce potable demand. This can reduce pressure on municipal supplies, but it doesn’t automatically eliminate watershed impact (and may add treatment complexity). The right approach is usually a local water strategy, co-designed with utilities and stakeholders, with transparent reporting and clear contingency planning.

Water lever 4: operational excellence (often overlooked)

• Leak detection and continuous monitoring for makeup water anomalies.

• Cooling tower management: cycles of concentration optimization, drift eliminators, and maintenance discipline.

• Seasonal modes: formal procedures to switch between economizer, hybrid, and mechanical modes without “set-and-forget” drift.

Carbon reduction levers (from kWh to CO₂e with credible accounting)

1) Reduce kWh first (it shrinks every other problem)

The most reliable carbon lever is still energy efficiency. Every avoided kWh also reduces upstream impacts (including indirect water) and reduces the scale of renewable procurement needed to reach targets.

2) Decarbonize supply: renewables, firm low-carbon, storage, and contracting

Most organizations use a mix of approaches: on-site solar where possible, off-site PPAs, green tariffs, renewable certificates, and (in some markets) firm low-carbon supply options. The optimal mix depends on your geography, grid constraints, and risk appetite—but it should be guided by transparent accounting.

3) Use correct Scope 2 accounting: location-based and market-based

For Scope 2 electricity emissions, the GHG Protocol Scope 2 Guidance requires that, where contractual instruments exist, companies report Scope 2 in two ways: one using the location-based method and one using the market-based method, clearly labeled. This is essential to avoid misleading “zero-carbon” claims that don’t match grid reality. (<a href="https://ghgprotocol.org/sites/default/files/ghgp/standards/Scope%202%20Guidance_Final_0.pdf" target="_blank" rel="noopener noreferrer">ghgprotocol.org</a>)

4) Adopt carbon-aware operations (when workloads allow)

Once metering and workload governance are mature, some organizations reduce carbon by scheduling flexible workloads when the grid is cleaner (time-shifting) or by placing workloads in regions with lower carbon intensity (geo-shifting). This approach is not universal—latency, data sovereignty, and reliability constraints matter—but for many batch and AI workloads, it can become a meaningful lever.

A pragmatic roadmap for 2026 (no filler, just sequencing)

1. Weeks 1–4: Establish baselines

   • Define boundaries (which halls, which loads, what’s “IT energy” vs “total energy”).

   • Deploy/validate meters for IT, cooling, and total facility; add water meters if missing.

   • Start a KPI dashboard: PUE, WUE, peaks, and basic carbon intensity.

2. Months 2–4: Capture operational quick wins

   • Airflow fixes, setpoint governance, sensor calibration, control sequence tuning.

   • UPS loading review and efficiency checks.

   • Decommissioning and consolidation campaign with IT owners.

3. Months 5–12: Structural improvements

   • Cooling plant upgrades/retrofits and advanced controls.

   • Targeted liquid cooling for high-density zones.

   • Water strategy: WUE + WUI assessment, alternative water feasibility, stakeholder plan.

   • Procurement strategy: align renewable sourcing with Scope 2 reporting and grid constraints.

4. Year 2+: Scale and standardize

   • Roll out standardized measurement aligned with ISO PUE guidance and ISO 50001-style continuous improvement.

   • Enable flexibility programs (storage, demand response) where feasible and permitted.

   • Expand reporting (energy, water, carbon) to meet customer and regulatory expectations.

(<a href="https://www.iso.org/standard/85172.html" target="_blank" rel="noopener noreferrer">iso.org</a>)

How we approach it at Score Group (Energy + Digital + New Tech)

At Score Group, we act as a global integrator, connecting energy performance, digital infrastructure, and innovation into one operational approach—because in data centers, these topics are inseparable.

• Our Noor ITS division supports organizations on data center design and optimization, including infrastructure, resiliency, and operational performance. Explore our approach to data center performance, security, and storage and our broader Noor ITS services.

• Our Noor Energy division focuses on energy performance through monitoring, governance, and optimization—see our energy management services and building management (BMS/EMS) capabilities.

• For decarbonization pathways, we can integrate renewable strategies through our renewable energy solutions.

• When the right starting point is a clear diagnosis, we rely on structured study and engineering practices (audits, design, and implementation support).

Our Noor Technology division can additionally help with AI, IoT sensing, and automation to build reliable optimization loops—without turning your operations into a black box.

FAQ: Data center energy consumption in 2026 (electricity, water, carbon)

What is a realistic 2026 target: lower PUE or lower total kWh?

1. an absolute energy target per site, (

2. a PUE objective aligned with measurement standards, and (

3. an IT efficiency metric (utilization or kWh per service unit) for the workloads that matter most

How can we reduce water use without increasing electricity too much?

This is a classic trade-off: evaporative cooling can reduce electricity but consumes water; fully mechanical systems can reduce water but increase power. The best 2026 strategy is often hybrid: reduce evaporation during most of the year, use closed-loop or targeted liquid cooling for high-density zones, and reserve evaporative modes for extreme conditions if needed. Track both WUE (liters/kWh) and site-level energy KPIs, and add a water-stress lens (e.g., WUI) so you don’t optimize “liters” while worsening local impact.

Why does “indirect water” matter for data centers?

Indirect water is the water consumed to generate the electricity your data center uses—cooling at power plants, reservoir evaporation, and other upstream processes depending on the grid mix. It can be much larger than on-site cooling water. For example, LBNL estimates U.S. data centers used 176 TWh in 2023 and attributes an indirect water footprint near 800 billion liters associated with that electricity (grid-mix basis). This is why electricity reduction and grid decarbonization can also be major water strategies, not only “better cooling towers.”

What’s the difference between market-based and location-based Scope 2 for data centers?

Location-based Scope 2 uses the average emissions intensity of the grid where you consume electricity. Market-based Scope 2 reflects contractual instruments (PPAs, RECs, green tariffs) tied to your procurement choices—when those instruments meet quality criteria. For data centers, both views matter: location-based shows exposure to local grid carbon (and often local constraints), while market-based shows the effect of procurement strategy. The GHG Protocol Scope 2 Guidance requires reporting both methods in relevant markets, clearly labeled, to improve transparency and comparability.

What should we prioritize first in a legacy (older) data center?

Start with metering and airflow. Many legacy sites can still unlock meaningful savings through containment, sealing bypass air paths, control tuning, sensor calibration, and setpoint governance—often faster than large capex projects. Next, review UPS loading and electrical losses, then address cooling plant optimization (chillers, pumps, fans, control sequences). Only after these foundations are stable should you scale advanced tactics like carbon-aware scheduling or major cooling architecture changes. This sequencing reduces risk and prevents “optimizing on bad data.”

What now? (Next steps)

If your 2026 roadmap includes reducing data center electricity, water, and carbon simultaneously, the fastest way to move is to start with a structured baseline (energy + water + carbon), then prioritize levers by operational risk and feasibility. At Score Group, we can support you from assessment to implementation by combining Noor ITS (data center optimization) with Noor Energy (energy management, building systems, renewables) and the right New Tech enablers. Visit score-grp.com to explore our tailored approach.