Green Data Centre Checklist: 7 Infrastructure Indicators of True Energy Efficiency
Green Data Centre Checklist: 7 Infrastructure Indicators of True Energy Efficiency

TL;DR: Selecting a genuinely energy-efficient data centre requires looking past headline PUE figures and marketing claims. The seven infrastructure indicators in this checklist give IT leaders and facilities decision-makers a concrete, verifiable framework for evaluating any data centre, colocation, owned, or third-party, before committing to a contract, a lease, or a capital investment.
Are most claims about data centre energy efficiency accurate when examined closely?
While all data centre operators claim to prioritise energy efficiency when asked, few can substantiate these claims with proof, especially when scrutinised with the right questions. Often, the discrepancy between claimed and real long-term efficiency is greater than most buyers realise. A facility could report a PUE of 1.3 on a cool winter night at full IT load and highlight that number as their main figure, even if the yearly average is nearer 1.55. Likewise, a facility might spend a lot on renewable energy certificates while still running outdated cooling systems that waste 40% of every rupee on electricity.
True energy efficiency is visible through infrastructure choices, monitoring, and operational data, not just marketing. The seven indicators below distinguish facilities that actually achieve lower costs and a smaller carbon footprint from those that merely claim to do so.
Indicator 1: Annualised PUE based on Continuous Metering
Power Usage Effectiveness (PUE) measures the ratio of total facility energy consumption to the energy used by IT equipment. A PUE of 1.0 represents ideal efficiency; 1.2 is considered best-in-class; while most older facilities usually have PUES between 1.5 and 1.6. The key factor is “how the PUE is measured. " Point-in-time measurements taken on ideal days do not serve as a reliable selection criterion. Instead, request an annualised PUE calculated from continuous, facility-level metering over an entire year, preferably verified according to the Green Grid's PUE Category 3 standard. Any facility genuinely committed to efficiency should be able to provide this without issue.
- Did You Know? At Eco DC in Sweden, deploying Schneider Electric’s Galaxy VX UPS systems in ECOnversion mode reached 99% energy efficiency and a PUE of 1.15 with full 2N redundancy. This shows that achieving high redundancy and efficiency are design choices rather than compromises.
Indicator 2: Architecture Designed for Optimal Cooling to Match the Workload
Cooling systems represent 30–40% of a data centre's total energy consumption, making the cooling setup the main factor influencing long-term PUE. While perimeter air cooling with CRAC units used to be standard, it now limits efficiency for facilities with rack densities exceeding 15–20 kW. Seek InRow precision cooling, rear-door heat exchangers, or Coolant Distribution Units (CDUs) for direct-to-chip liquid cooling in high-density areas. Liquid cooling systems can cut total cooling energy use by 30–60% relative to conventional air cooling. Facilities that lack a credible liquid-cooling plan for racks exceeding 30 kW risk increased PUE as AI and GPU demands grow.
Indicator 3: Tenant-Level Visibility for Intelligent Power Management
The most energy-efficient facilities don't just have monitoring software; they also give tenants access to it. A facility running software such as EcoStruxure Power Monitoring Expert or EcoStruxure IT from Schneider Electric provides real-time visibility into electrical system health, load distribution, and consumption patterns. More importantly, a genuinely transparent operator gives each tenant access to their deployment's energy data, not just facility-wide averages.
If a potential facility cannot provide tenant-specific energy consumption data when asked, their claims of efficiency become uncheckable and hold no commercial value for you.
Indicator 4: UPS performance score in Operational Mode
A UPS system operating with low efficiency is often an overlooked source of energy waste in a data centre. Double-conversion UPS units, known for offering the highest power protection, typically run at about 92–95% efficiency. This means that 5–8% of the supplied power is wasted as heat. Modern UPS systems featuring eco-mode or high-efficiency settings significantly impact performance. For instance, the Galaxy VXL series UPS reaches up to 99% efficiency in ECO mode without compromising protection quality. When assessing a data centre, inquire about the UPS model, its rated efficiency at your typical load percentage, and whether eco-mode is in use. A 3–4% increase in UPS efficiency on a 500kW IT load can save roughly ₹50–70 lakh annually based on typical Indian commercial electricity rates.
Indicator 5: Verified Renewable Energy Proportion
A facility with a PUE of 1.2 powered by coal has a bigger carbon footprint than one with a PUE of 1.4 using renewable energy. PUE and carbon intensity (CUE) are distinct metrics that should be assessed jointly; evaluating just one is not enough. Ask for the facility's renewable energy share, whether through Power Purchase Agreements (PPAs), on-site solar or wind generation, or grid certificates, and verify that the renewable percentage applies specifically to your contracted capacity, not just to the facility's overall energy mix. Operators with Battery Energy Storage Systems (BESS) alongside renewables demonstrate the most mature energy strategy, enabling grid interaction and reducing peak-demand costs that flow through to tenant pricing.
Indicator 6: Third-Party Sustainability Certifications
Self-reported sustainability data serves as a preliminary indicator, not a definitive proof. Verification by third parties bridges the gap between claims and actual performance. The most rigorous certifications to consider, ranked, are LEED (Leadership in Energy and Environmental Design), compliance with ASHRAE TC 9.9 thermal audits, ISO 50001 (energy management systems), and OCP Ready certification for hyperscale-related deployments. For Indian companies required to report under BRSR (Business Responsibility and Sustainability Reporting), specifically verify if the facility can supply Scope 1 and Scope 2 emissions data in the necessary disclosure format. A facility lacking detailed, verifiable carbon data becomes a reporting liability for any organisation with public ESG commitments.
Indicator 7: A Clearly Documented Path for Efficiency Gains
A key indicator, often overlooked by buyers, is the historical PUE data over the last three to five years. If a facility's PUE has decreased year after year—from 1.6 to 1.45 to 1.3—it suggests ongoing infrastructure investments, disciplined operations, and a management team focused on what matters. Conversely, a steady or worsening PUE trend indicates stagnation, regardless of the current PUE value. Request annual PUE reports and inquire about the particular infrastructure modifications that led to the improvement. The quality of their response reveals more about the facility's genuine dedication to efficiency than any marketing material.
Using the Checklist: What to Ask and What to Walk Away From
Before committing to any data centre facility, review these seven indicators as structured questions in your vendor evaluation:
- Provide the annualised PUE from continuous metering for the past two years
- Please outline your cooling architecture for racks exceeding 20 kW and share your plans for liquid cooling development.
- Confirm which tenant-level energy monitoring access is included in the contract
- Specify the UPS model, its efficiency at operational load, and whether eco-mode is enabled.
- Confirm the renewable energy proportion for my contracted capacity with verification documentation
- List active third-party sustainability certifications with renewal dates
- Provide PUE trend data for the past three to five years, with commentary on what drove the changes
A facility that answers all seven questions with documented evidence has made energy efficiency an operational discipline rather than a marketing position. That distinction, between claimed and demonstrated efficiency, is exactly where operating cost savings and carbon footprint reduction either materialise or disappear. The data centre you choose today sets the energy cost and carbon trajectory for the next five to ten years of your IT infrastructure. These seven indicators exist to make an informed choice.
Frequently Asked Questions
A PUE of 1.2 to 1.3 is regarded as optimal for modern data centres with smart cooling and power systems. Older facilities often have PUES between 1.5 and 1.6, while values exceeding 1.8 suggest considerable untapped efficiency potential that remains unaddressed. However, the key consideration is how the PUE is measured; relying on a single number without context does not provide a meaningful assessment.
To ensure accuracy, request annualised PUE data obtained through continuous facility-level metering over an entire calendar year, rather than a snapshot taken under ideal conditions. The Green Grid PUE Category 3 represents the highest verification standard, requiring ongoing measurement at the facility boundary. Third-party audit reports aligned with ASHRAE TC 9.9 add further credibility. Operators unwilling to provide annual, continuously measured PUE data should be approached with caution, regardless of the figures they present in sales discussions.
The savings are substantial and straightforward to calculate. For an organisation with a 500kW IT load, operating in a PUE 1.6 facility instead of a PUE 1.2 facility results in an unnecessary 200kW energy consumption every hour. At ₹8/kWh when running around the clock, this difference amounts to roughly ₹1–1.4 crore annually, purely due to efficiency disparities, without any changes to the IT setup.
Over a typical five-year colocation contract, this leads to avoidable electricity costs of ₹5–7 crore. Larger deployments see proportionally greater savings. Besides direct energy costs, an energy-efficient data centre also cuts cooling maintenance expenses, lowers the risk of equipment failures caused by heat, and reduces carbon credit liabilities for organisations committed to net-zero or BRSR reporting. Generally, investing in efficiency during the selection process offers a stronger business case than negotiating discounts on colocation prices.
PUE and carbon footprint are interconnected but distinct metrics and over-relying on PUE alone when selecting a data centre is a common mistake. PUE indicates how efficiently a facility uses energy, but it does not reflect the energy source or its carbon impact.
For example, a facility with a PUE of 1.2 on a coal-heavy grid will have a larger carbon footprint than one with a PUE of 1.4 powered by renewable energy through a Power Purchase Agreement. To fully assess carbon impact, consider three factors together: the annualised PUE, the proportion and verification of renewable energy used, and whether the operator can provide specific Scope 1 and Scope 2 emissions data for your deployment. In India, tenants with BRSR reporting duties or net-zero commitments need Scope 2 emissions data at the individual tenant level, not just facility-wide averages, as this appears in sustainability disclosures.
Your answer depends on your current and future rack density. For deployments under 15–20 kW per rack, well-maintained precision InRow cooling with hot- and cold-aisle containment is sufficient and efficient. Once you exceed this threshold, the cooling setup must adapt to your workload, and many colocation agreements pose a hidden risk by not specifying how the facility will handle higher density demands.
For AI, GPU, or HPC workloads above 30–50 kW per rack, direct-to-chip liquid cooling with Coolant Distribution Units (CDUs) and cold plates is now standard, cutting cooling energy use by 30–60% compared to indoor air cooling. Rear-door heat exchangers serve as a practical transition from air to liquid cooling without extensive infrastructure changes.
When choosing a facility, ask for their cooling roadmap for racks above 20 kW and verify if liquid-cooling systems are available in your designated zone, not just elsewhere in the building. A facility that cannot provide this information in 2026 may not be capable of supporting efficient workload growth.
Choosing a colocation provider requires assessing infrastructure that isn't directly visible or controllable. Hence, asking the right questions during the RFP and site visit is crucial. The seven-indicator framework discussed here is directly applicable, along with some additional points specific to colocation relationships.
First, verify if the contract specifies energy transparency, ensuring you receive tenant-level energy consumption data instead of just facility-wide metrics. Second, inquire whether the renewable energy commitments apply to your contracted capacity or just the facility's overall energy mix, as these can differ. Third, review the facility's PUE history over the past three to five years and ask about infrastructure investments that led to improvements; these details reveal operational discipline beyond just the current PUE figure.
Finally, determine if the operator adheres to recognised sustainability standards such as the Climate Neutral Data Centre Pact, LEED, or ISO 50001. Operators with third-party verification demonstrate greater transparency, which safeguards your long-term operational costs and carbon reduction commitments.
Author Details:
Name - Mayank Srivastav
Email ID - Mayank.Srivastav@se.com
Company Name - Schneider Electric India
Linkedin Profile: https://www.linkedin.com/in/mayank-srivastav-50b6406/
Author Bio: Mayank Srivastav is Segment Director for Cloud & Service Providers (C&SP) at Schneider Electric, where he drives segment strategy and strategic client relationships across India's cloud, colocation, and managed service provider market. With extensive experience across service delivery, sales leadership, business planning, and operations management, Mayank advises India's leading cloud and AI infrastructure organisations on scalable modular power architecture and infrastructure planning for AI workload growth. He is a graduate of Jamnalal Bajaj Institute of Management, Mumbai University.
Author Title: Segment Director – Cloud and Service Providers (C&SP), Schneider Electric India
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Sources:
- https://blog.se.com/datacenter/2026/05/29/how-to-build-a-data-centre-that-uses-40-less-energy/
- https://skynethosting.net/blog/pue-metrics-transparency/
- https://digitalpower.huawei.com/en/blogs/pue-data-center
- https://www.eaton.com/us/en-us/markets/data-centers/data-center-cooling/efficiency/energy-consumption-in-data-centers-air-versus-liquid-cooling.html
- https://www.mckinsey.com/capabilities/operations/our-insights/operations-blog/keeping-cool-in-the-data-age
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