Data centres play a vital role in our digital world. However, the growing demand for cloud services, artificial intelligence and high-performance computing also increases pressure on energy resources.
As a result, organisations face a growing challenge: how can they expand their IT infrastructure while reducing its environmental impact?
Renewable energy and efficient equipment can help. However, better data centre management also plays an important role in reducing carbon emissions.
By monitoring power consumption, environmental conditions and infrastructure performance, operators can identify energy waste and make better decisions.
More importantly, they can measure whether those improvements deliver meaningful results.
Why Reducing Data Centre Carbon Footprint Matters
Data centres consume electricity around the clock. Servers, networking equipment, cooling systems and supporting infrastructure all contribute to their overall energy demand.
According to the International Energy Agency (IEA), global data centre electricity consumption increased by 17% in 2025. Furthermore, the agency expects demand to continue growing as AI and other digital services expand.
This growth creates challenges for organisations working towards sustainability and net-zero targets.
However, reducing a data centre’s carbon footprint does not necessarily mean replacing existing infrastructure or investing in expensive new technologies.
Often, the first opportunity lies in understanding how efficiently the facility operates today.
After all, you cannot improve what you cannot accurately measure.
Understanding Where Energy Is Being Used
Before reducing energy waste, operators need a clear picture of where their electricity goes.
A data centre may monitor its total power consumption. However, that figure alone rarely reveals which systems operate efficiently and which require attention.
For example, an increase in energy consumption could result from additional IT workloads, inefficient cooling or equipment operating unnecessarily.
Therefore, operators need visibility across the electrical infrastructure, including UPS systems, distribution equipment and rack-level power consumption.
By comparing real-time measurements with historical trends, teams can identify unusual consumption patterns and investigate potential inefficiencies.
Intelligent PDUs can provide additional insight by measuring power consumption at rack or outlet level, depending on their capabilities.
Consequently, teams gain a better understanding of how IT equipment contributes to the facility’s overall energy demand.
However, electricity consumption represents only part of the efficiency picture.
Explore this further in our blog – Data Centre Power Management: From Metering to Actionable Insight
Environmental Monitoring and Cooling Efficiency
Cooling systems help maintain safe operating conditions for IT equipment. However, they also contribute to a data centre’s electricity consumption.
Poor airflow, uneven temperatures and unnecessary cooling can increase energy demand without improving equipment protection.
For example, a data hall may maintain a low average temperature even though some racks receive more cooling than they need. Meanwhile, other racks could experience localised hotspots because of poor airflow or higher equipment density.
Without detailed environmental monitoring, operators may respond by increasing cooling across the entire room.
Unfortunately, this approach can waste energy while leaving the underlying problem unresolved.
Instead, monitoring temperature and humidity at multiple locations provides a clearer picture of actual conditions.
Operators can then:
- Identify hotspots and areas receiving excessive cooling.
- Investigate airflow problems around individual racks.
- Compare environmental conditions with equipment power demand.
- Make controlled cooling adjustments.
- Measure the results before introducing further changes.
The ADS iSensor Environmental Monitoring solution supports this approach by providing detailed environmental measurements across critical areas.
When operators combine this information with wider infrastructure data, they can make more informed cooling decisions.
As a result, they may reduce unnecessary energy consumption while optimising cooling conditions for their equipment.
Exploring More Efficient Cooling Technologies
As data centre power densities increase, traditional air cooling may become less efficient or struggle to meet demand.
Consequently, operators are exploring alternatives such as rear-door heat exchangers, direct-to-chip liquid cooling and closed-loop water cooling systems.
These technologies can remove heat more effectively from high-density equipment. In suitable installations, they can also reduce reliance on energy-intensive air cooling.
Furthermore, closed-loop cooling systems recirculate water or coolant, helping reduce the need for continuous water replacement within the cooling circuit. This is important because there are major public concerns over water usage in data centres.
However, selecting a more efficient cooling technology is only part of the solution.
Operators still need to monitor temperatures, cooling performance and energy consumption to ensure that the system operates efficiently.
By bringing this information together, infrastructure management platforms can help teams assess performance, identify inefficiencies and measure the benefits of cooling improvements.
Ultimately, the combination of efficient cooling technology and effective infrastructure management offers a stronger foundation for reducing energy waste and supporting sustainability goals.
A Practical Example – Reducing Unnecessary Cooling
Consider a data centre where cooling systems maintain a consistently low room temperature. Although conditions appear stable, environmental monitoring reveals that some racks operate well below their required temperature range, while others experience localised hotspots.
Rather than increasing cooling across the entire room, engineers investigate the differences.
By comparing rack temperatures, airflow conditions and power consumption, they identify areas where cooling is excessive and others where airflow needs improvement.
The team then makes targeted adjustments, such as improving airflow management or gradually raising cooling setpoints where conditions allow.
Throughout the process, continuous environmental monitoring helps ensure that equipment remains within safe operating limits.
Meanwhile, power monitoring allows operators to compare energy consumption before and after the changes.
As a result, the data centre may reduce unnecessary cooling energy without compromising equipment reliability.
The important point is that the improvement comes from understanding the problem rather than simply increasing or decreasing cooling.
Using DCIM to Identify Energy Waste
Power monitoring and environmental monitoring provide valuable information. However, they become even more useful when operators can view them together.
This is where Data Centre Infrastructure Management (DCIM) can make a difference.
Rather than reviewing separate monitoring platforms, which creates data silos in the data centre, operators can bring information from different systems into a single management environment.
For example, a rising rack temperature could coincide with an increase in power consumption. By comparing both measurements, engineers can investigate whether the change relates to additional workloads, airflow restrictions or cooling performance.
Similarly, historical trends may reveal equipment that continues to consume power despite supporting relatively little useful activity.
These insights help operators identify opportunities for improvement.
Sensorium™ DCIM provides a vendor-neutral infrastructure management platform that brings together power, environmental, building management and other operational data.
It also supports integration with existing infrastructure, allowing organisations to make better use of equipment and monitoring systems they already own.
Consequently, teams can investigate relationships between different systems rather than treating each measurement in isolation.
Making Better Use of Existing Infrastructure
Reducing carbon emissions is not always about consuming less electricity. It also involves making better use of existing resources.
For example, poor capacity planning can leave organisations operating underutilised infrastructure while planning additional installations elsewhere.
Without clear information about available rack space, power capacity and environmental conditions, teams may struggle to identify where new equipment can be deployed safely.
Better infrastructure management helps address this problem.
By reviewing asset information alongside power and environmental data, operators can understand how much capacity remains available.
They can then make more informed decisions about equipment placement, consolidation and future expansion.
In some cases, improving utilisation may help an organisation delay unnecessary infrastructure purchases or avoid expanding supporting systems prematurely.
This approach can support sustainable IT infrastructure by extending the useful life of existing assets and reducing avoidable resource consumption.
However, operators must balance efficiency improvements against resilience, redundancy and future growth requirements.
Measuring Improvements and Demonstrating Results
Identifying energy waste is an important first step. However, organisations also need to know whether their changes deliver measurable improvements.
For example, adjusting cooling settings may reduce electricity consumption. Yet operators must confirm that the change does not create hotspots or affect equipment reliability.
Therefore, continuous monitoring should form part of every efficiency initiative.
A practical approach involves establishing a baseline, making a controlled adjustment and comparing performance before and after the change.
Historical power and environmental data help teams understand the results.
Operators can also use established performance indicators, including Power Usage Effectiveness (PUE), to assess facility efficiency.
However, PUE measures energy efficiency rather than carbon emissions directly.
To estimate the carbon impact of electricity consumption, organisations must also consider the emissions associated with their electricity supply.
For this reason, accurate consumption measurements and appropriate carbon accounting methods are both important.
Together, they help organisations move beyond general sustainability claims and demonstrate measurable progress.
How Sensorium™ Supports More Sustainable Data Centre Management
Sustainability improvements depend on reliable information.
Sensorium™ helps operators understand how their infrastructure performs by bringing data from multiple systems into a unified management environment.
Its capabilities include:
- Power visibility: Monitor electrical infrastructure and identify changes in consumption.
- Environmental insight: Compare temperature, humidity and other environmental conditions with infrastructure performance.
- Historical analysis: Review trends and assess the impact of operational changes.
- Capacity management: Understand available infrastructure resources and support better planning.
- Vendor-neutral integration: Connect compatible modern and legacy systems without relying on a single equipment manufacturer.
Furthermore, when organisations use Sensorium™ alongside ADS iSensor Environmental Monitoring and intelligent PDUs, they gain additional visibility at rack and equipment level.
This integrated approach helps teams investigate energy waste, evaluate improvements and support wider sustainability objectives.
Importantly, Sensorium™ does not reduce carbon emissions simply by collecting information. Instead, it provides the operational insight needed for people to identify opportunities and take appropriate action.
Small Improvements Can Support Bigger Sustainability Goals
Reducing a data centre’s carbon footprint rarely comes from one single change.
Instead, progress often results from several practical improvements.
Better cooling management can reduce unnecessary energy consumption. Improved power visibility can reveal inefficient equipment. More effective capacity planning can help organisations use existing infrastructure more efficiently.
Individually, these actions may appear relatively small.
However, their combined impact can become significant over time, particularly in facilities that operate continuously.
The key is to make improvements based on accurate information rather than assumptions.
As data centre demand continues to grow, organisations need to balance performance, resilience and sustainability.
Better data centre management provides a practical starting point.
By measuring energy consumption, understanding environmental conditions and reviewing infrastructure performance, operators can reduce waste and make more informed decisions.
Ultimately, a more sustainable data centre starts with better visibility of the infrastructure already in place.
Frequently Asked Questions
Data centres can reduce their carbon footprint by improving energy efficiency, optimising cooling, making better use of existing infrastructure and sourcing lower-carbon electricity. Continuous monitoring helps operators identify opportunities and measure the results.
Yes. DCIM can support carbon reduction by providing visibility into power consumption, environmental conditions and infrastructure performance. However, operators must act on the information to achieve measurable energy savings and potential emissions reductions.
Environmental monitoring helps operators identify hotspots, poor airflow and areas receiving unnecessary cooling. As a result, teams can make targeted adjustments that may reduce cooling energy consumption while protecting IT equipment.
Power Usage Effectiveness (PUE) measures how efficiently a data centre uses electricity to support its IT equipment. Carbon footprint measures the greenhouse gas emissions associated with its activities. A facility can improve its PUE without achieving a corresponding reduction in total carbon emissions.