Aggreko invests in liquid cooling test equipment

Aggreko, a British multinational temporary power generation company, has invested in a fleet of liquid-cooled load banks to support the testing and commissioning of AI data centre cooling systems across Europe. The units are designed to simulate the thermal and electrical loads of IT equipment, allowing operators to test cooling and electrical infrastructure before a facility goes live or during refurbishment. Liquid cooling is increasingly used in high-density AI and high-performance computing environments. During commissioning, the load banks can help operators validate equipment including chiller lines, pipework, pumps, heat exchangers, and coolant distribution units (CDUs), reducing the risk of equipment failures during operation. Load banks support testing at different power levels The units can be configured to accept 200kW, 300kW, or 600kW across single or multiple connections, accommodating different electrical supply arrangements on site. Constructed from 316L stainless steel, the equipment is designed to reduce material degradation and the risk of contamination in liquid cooling systems. Each unit and its accessories undergo specialist cleaning, flushing, sealing, and testing before deployment. The load banks also offer adjustable operating modes, allowing engineers to control power loads, temperature differentials, and leaving water temperatures within specified parameters. Multiple units can be networked to manage larger loads and support testing under different operating conditions. Torben Hiller, Lead Development Engineer at Aggreko, comments, “The rapid growth of AI has ushered in a new era of data centre cooling. However, with even a single outage presenting six- or seven-figure ramifications, ensuring that this cooling infrastructure is fit to handle the demands of day-to-day operation is paramount. “Our new LCLBs are the first of their kind on the market, and feature bespoke control systems that allow them to be set up for precise, scenario-specific testing. "Combined with the knowledge and sector experience of our data centre team, this new investment will allow us to offer unrivalled testing and commissioning support for European AI data centres and their cooling equipment, providing operators with the best possible assurance that their infrastructure will be able to handle real load conditions.” Torben also says testing under different scenarios is important as rack densities increase, warning that inadequate testing can lead to overheating, poor heat rejection, coolant contamination, and reduced equipment lifespan. For more from Aggreko, click here.

Could smarter monitoring reduce data centre wastewater?

Liquid waste removal experts at BusinessWaste.co.uk say operators will need to think more carefully about how water is used across their sites, where wastewater is being created, and what can be done to reduce it: Water use depends on how sites are designed Water demand can vary considerably between data centres, depending on the cooling systems and infrastructure in place. Some cooling systems rely much more heavily on water, whilst others are designed to recirculate more of it. That means decisions made during site planning can have an impact on how much water it eventually uses. For new developments, that could mean considering cooling systems, local water availability, and whether any water reuse opportunities exist before construction begins. Existing sites can also get a clearer picture of where water is going by using meters and sensors to track usage over time. A sudden rise in consumption could prompt checks for a leak, an equipment problem, or another change in the site. Where cooling or maintenance processes produce wastewater, cutting unnecessary water use and reusing more of it could also help reduce the amount that eventually needs to be treated or discharged. Could AI help operators spot problems earlier? As large data centres already produce a huge amount of operational data, AI could help operators make more sense of it. Used alongside existing monitoring systems, AI could pull together information from water meters, cooling equipment, and other parts of a site, which could make unusual changes or any emerging patterns easier to spot. This could help operators investigate problems sooner, especially on large sites where it may be difficult to track everything manually. Where a site generates wastewater through cooling or maintenance, the same monitoring could also help operators track changes in the amount being produced and understand where those changes originate. There is still a lack of clear evidence around how much water data centres use and how AI could affect that demand. The Environment Agency has faced difficulties gathering reliable water-use data from the sector, which has made it difficult to assess future demand. Research into AI-led cooling is also developing, although much of the focus so far has been on energy efficiency. A recent review of 64 studies found that only three reported water usage effectiveness (WUE), suggesting there is still more to understand about how AI optimisation could affect water consumption. That means water use will need to be measured more consistently if operators are going to understand whether these systems are actually making a difference. Could data centres rely on less drinking water? As demand for AI continues to grow, there will likely come a point when operators will need to look beyond using drinking water as a means of cooling. Depending on the site and the type of cooling system being used, some options include rainwater harvesting, recycled wastewater, and other non-drinking water sources. Government research has already identified these as possible ways to ease pressure on public water supplies. Closed-loop cooling could also help, as it allows water to circulate through a system several times rather than constantly bringing in fresh supplies. The Environment Agency has pointed to this as a more water-efficient option and says reuse should be considered when new data centres are planned. There may also be opportunities to reuse some of the wastewater created on site. Water removed from cooling systems, for example, can sometimes be treated and fed back into the system instead of being discharged straight away. For future sites, the wider aim could be to get more use out of the water already available, rather than relying so heavily on fresh supplies each time. Calls for more transparency Mark Hall, Liquid Waste Removal Expert at BusinessWaste.co.uk, comments, “Data centres are becoming a bigger part of everyday infrastructure, and the relationship between them and water is becoming a bigger part of discussions. “As more sites are proposed, operators are likely to face more questions from local communities, councils, and regulators about the pressure they could place on water supplies. Being able to explain that is going to become increasingly important. “There needs to be more openness across the sector, because if we don’t know how much water data centres are using, it becomes much harder to judge what further growth could mean for local water supplies. “For businesses planning new sites, water should be treated as a key part of the decision-making process from the beginning. The availability of land and power will always matter, but access to water could also play a bigger role in where these facilities can realistically operate.”

Phinergy scales up aluminium-air generator for data centres

Phinergy, a clean energy technology company, and the Net Zero Innovation Hub for Data Centers (NZIH), a pan-European industry consortium working to cut data centres’ carbon emissions, have tested a 72kW aluminium-air generator (AAG) module designed for long-duration backup power in data centres. The module was unveiled on 9 October 2026 at a partner facility near Madison, Wisconsin, USA, as part of a collaborative testing programme involving the data centre industry. Technical experts from Microsoft, Danfoss, Schneider Electric, and Vertiv attended the testing and agreed on the next steps for validation and further development. The project aims to assess the technology’s suitability for integration into large-scale data centre infrastructure, with the partners targeting eventual commercial deployment. Testing advances towards megawatt-scale system Phinergy’s AAG uses aluminium to generate electricity and is intended to provide backup power without the on-site emissions associated with conventional diesel generators. The 72kW module has an energy capacity of 1.4MWh and represents a building block for a planned 500kW system with a capacity of 10MWh. The larger system is currently being assembled. The partners say the technology could provide backup power whilst helping data centre operators manage grid constraints. It is also intended to support power availability by temporarily reducing reliance on the grid during periods of peak demand. Phinergy and the NZIH announced their partnership in October 2025. Following a global request for information on low-carbon backup power technologies, the generator was selected from more than 70 submissions for megawatt-scale validation. Emmanuel Levy, CEO of Phinergy, comments, “Reaching AAG Module stage is a defining achievement in the AAG's commercialisation roadmap. The AAG Module design has now demonstrated, through a formal validation process endorsed by hyperscalers and leading data centre operators, that it meets the technical standards required for data centre operation, and we move forward with confidence towards full AAG system validation and deployment.” Industry collaboration continues The NZIH brings together data centre industry organisations to assess technologies intended to support the transition towards net zero. Its members include APL Data Centers, Danfoss, Data4, Engie, Google, Microsoft, Schneider Electric, and Vertiv. Alberto Ravagni, CEO of the NZIH, says, “This is an important milestone of the validation and scale-up program the Hub is conducting with its members. It confirms aluminum-air as a promising clean backup power technology and demonstrates how the Hub’s collaborative approach accelerates the adoption of innovative solutions across the data center industry.” The partners state they will continue evaluating the technology against the requirements of cloud and AI data centres as development progresses towards validation of the full-scale system.

OCP accepts Airsys whitepaper on data centre power allocation

The Open Compute Project (OCP) has accepted a whitepaper by Airsys executives proposing a new metric to measure how much of a data centre’s provisioned electrical capacity is available for IT compute before construction begins. The paper introduces 'Power Compute Effectiveness' (PCE), a metric intended to help data centre designers identify how much power is allocated to IT equipment, cooling systems, electrical losses, and auxiliary loads at the design stage. The framework was authored by Airsys founder and CEO Yunshui Chen, Chief Strategic Relations Officer Paul Quigley, and Product Marketing Manager Jake Roberts. It was contributed to OCP, peer reviewed, and accepted under an open licence. As AI workloads increase power density and grid connection constraints limit available capacity, the paper argues that operators need to understand how electrical capacity is allocated before a facility is built. Existing metrics, such as Power Usage Effectiveness (PUE), assess operational energy efficiency rather than how provisioned capacity is distributed in the design. PCE measures capacity available for compute PCE measures the proportion of provisioned electrical capacity within a defined facility boundary that is available for IT compute after accounting for redundancy requirements. Expressed as a value between zero and one, it is intended to complement established operational metrics. The proposed methodology has three main applications: identifying capacity allocated to cooling, electrical distribution losses, and auxiliary loads; complementing PUE by assessing capacity allocation at the design stage; and enabling comparisons across facilities of different sizes, including colocation sites, hyperscale campuses, and retrofit projects. Yunshui Chen says, “Operators have spent years optimising for how power is used inside a data centre using existing metrics like PUE. PCE asks a different question: how much of the power facility you've already paid for is structurally reaching compute in the first place? "We built this framework to give the industry a common, design-level way to answer that question, and we believe the answer should benefit every operator, not just Airsys customers.” Paul Quigley adds, “PUE has served this industry well, but it looks in the rearview mirror at operational energy efficiency. PCE is meant to be the windshield. "A design team can take the facility design documents, starting with the single-line diagram, and determine how much of the provisioned power is allocated to compute and how much is allocated to cooling, electrical losses, and auxiliary load, before a single watt is drawn. "When power decides how big a data centre can be, that's a question every operator should be able to answer on the drawing board.” Whitepaper sets out design-stage approach The paper presents PCE as a provisional metric that could help operators, owners, and planners assess capacity allocation before construction, or when evaluating facility upgrades and retrofits. Jake Roberts notes, “Energy stewardship starts long before a facility goes live. The path every kilowatt takes between the utility meter and the rack is more nuanced than most people realise. "PCE is a provisional metric, and the earlier we can calculate the power allocation for a facility - starting in the design phase or in the retrofit/upgrade stage - the better we can steward that power for its entire life. "Having OCP peer review and accept the whitepaper opens the door to broader industry adoption, and I'm excited for a future where we can plan with metrics that help us prioritise power allocation and stewardship from the start.” The whitepaper, Power Compute Effectiveness (PCE): A Provisioned Capacity Allocation Metric for the New Data Center Era, is available through the OCP Contribution Database. For more from Airsys, click here.

Janitza marks 40 years amid growing demand for power

Energy monitoring specialist Janitza is marking its 40th anniversary at a time of growing global demand for power quality, energy transparency, and resilient electrical infrastructure. As electrification, AI-driven data centres, and increasingly complex power grids reshape energy systems worldwide, the company continues to expand its international presence and local customer support capabilities in key markets including the UK, North America, and Australia. “The requirements for modern energy infrastructure have changed dramatically over recent decades,” says Markus Janitza, founder and CEO of Janitza. “As power grids become more dynamic and energy systems more complex, transparency and power quality are becoming increasingly critical, particularly in sectors such as data centres, industry, and critical infrastructure. This is exactly where we continue to support our customers globally with precise measurement and monitoring technologies.” Founded in Germany in 1986 with around 30 employees, Janitza has grown from a regional manufacturer into an international provider of energy monitoring and power quality solutions operating in more than 90 countries worldwide. Today, the company supports customers in sectors where resilient electrical infrastructure and reliable power quality are mission critical, including data centres, industrial environments, healthcare, and energy infrastructure. “Over the years, Janitza has always identified technological developments at an early stage and translated them into practical solutions for customers,” notes Alexander Veidt, CEO at Janitza. “We will continue to follow this path consistently in the years ahead.” Throughout this international growth, Janitza remains a family-owned company with a long-term strategic focus. Alongside continued investment in engineering and production capabilities in Germany, the company is further expanding its international sales and support network to strengthen customer proximity in key markets worldwide. Janitza formally celebrated its 40th anniversary on 19 June 2026 with an industry event at its headquarters in Germany. Looking ahead, the company expects continued global demand for energy transparency, resilient electrical infrastructure, and power quality solutions, particularly in sectors such as data centres, industry, and critical infrastructure. For more from Janitza, cick here. This article is sponsored by Janitza

BAC introduces Trillium adiabatic cooler for data centres

Baltimore Aircoil Company (BAC), a provider of data centre cooling equipment, has introduced the Trillium Adiabatic Cooler TRFS, a double-stacked adiabatic cooler designed for hyperscale and colocation data centres. It combines BAC’s adiabatic cooling design with intelligent controls for applications where dry cooling alone may not provide sufficient performance. The TRFS is designed to help data centre operators lower fluid temperatures, reduce peak power demand and power usage effectiveness (PUE), limit water consumption, and increase free-cooling opportunities. The company says it also supports high-density chip cooling, reduces air recirculation in large deployments, and can help sites meet design conditions without oversizing chillers or other infrastructure. Cooling capacity and water management With greater capacity per unit than dry coolers, the TRFS can reduce equipment numbers, connections, and installation time. Its adiabatic design maintains capacity at high ambient temperatures and supports water-cooled chiller, chiller-less, and direct-to-CDU configurations. Depending on the design, it can also allow chillers to be downsized or eliminated. The cooler is designed to limit annual water consumption and can be configured to meet site requirements, including water constraints, permitting requirements, and sustainability goals. Factory-installed adiabatic pads and intelligent controls activate cooling when needed, balancing water and energy use. Dustin Cohick, Market Leader - Americas Data Center at BAC, says, "Data centre operators are being asked to meet more aggressive temperature, power, and water targets on increasingly compressed schedules. "The Trillium Adiabatic Cooler TRFS gives them a way to use water only when it matters most and gain meaningful capacity and efficiency benefits in return. It's already operating at multiple hyperscale and colocation data centres." The TRFS is manufactured globally and features a pre-configured design intended to shorten engineering cycles. Options and features include Whisper Quiet fans (which can reportedly reduce sound levels by up to 13 dBA); automatic night-quiet operation; reduced steel support requirements; redundancy across fans, motors, and drives; accessible service platforms; and pre-programmed controls housed in a UL enclosure to support start-up and troubleshooting. A dry cooler version, the Trillium Dry Cooler, is also available for water-free operation. For more from BAC, click here.

'We used to consume energy; today, we manage it'

For 40 years, Janitza has helped shape the evolution of modern power infrastructure. Today, digitalisation, electrification, and increasingly volatile power grids are fundamentally changing requirements for visibility, availability, and power quality. In this interview, Alexander Veidt (pictured above), CEO at Janitza, explains the challenges arising from these developments and how the company is positioning itself for the energy infrastructure of the future: DCNN: Power infrastructure worldwide is becoming increasingly complex, dynamic, and data driven. Which trends are driving this transformation the most? Alexander: I see three key developments. First, we are seeing large-scale electrification of industry, buildings, transportation, and heating systems. Second, there is increasing decentralisation and volatility driven by renewable energy sources, energy storage systems, and flexible loads. Third, there is a growing need for transparency because energy is no longer just a cost factor; it has become a strategic business resource. All of this is leading to a fundamental shift. We used to consume energy; today, we manage it. We need to know where the energy comes from, when it is available, and how we can control it, store it, or send it back to the grid. DCNN: Electrification is pushing power grids to their limits in many parts of the world. Is the key question ultimately whether enough energy is available? Alexander: That is certainly a central question. Equally important, however, is the question of power quality. We have been focused on power quality for 40 years, and one thing is becoming increasingly clear: power quality is deteriorating. DCNN: What specific issues are you seeing? Alexander: One example is grid frequency. Conventional power plants create a physically stable and inert grid through their rotating masses. Today, many renewable energy sources feed power into the grid through power electronics and inverter technologies. As a result, grid behaviour is changing compared to traditional systems based on large rotating generators. DCNN: How are AI data centres intensifying these challenges? Alexander: At the end of the day, data centres are major energy consumers. However, when it comes to AI data centres, a new question is emerging: Do we have the right power quality, at the right time, in the right place, and can we control it reliably? In addition, we should not overlook the fact that data centres also influence the power grid itself. During AI training runs or sudden demand spikes, significant and rapid changes in power demand can place considerable stress on the electrical network. DCNN: Janitza has been developing solutions for its customers for 40 years. How is the company evolving its products to address these new requirements?Alexander: Our UMG 512-PRO Power Quality Analyzer is a comprehensive solution with a strong track record in the market. Additionally, we are preparing to launch the next generation of our measurement devices, designed specifically to address the issues we have just discussed. What’s more, this applies across all voltage levels. For each level, we offer dedicated product families capable of detecting these issues, processing the data, and helping customers manage them while addressing the specific characteristics of each grid environment. DCNN: We have talked about AI in data centres. What role will AI play in Janitza’s portfolio in the coming years? Alexander: AI will play a major role. One of our advantages is that Janitza solutions generate data, and data is the foundation for training AI models. Only then can large volumes of data be used effectively for monitoring, control, optimisation, and automation. We are already implementing AI applications, including within GridVis (our energy monitoring and power quality analysis software) and in planning tools for electrical infrastructure. Janitza has made energy data visible to its customers across every generation of our products. Access to data is not the issue; AI takes the analysis of these vast volumes of measurement data to an entirely new level and makes that information significantly more actionable. DCNN: As power grids become more complex, companies around the world are also facing increasing regulatory pressure. Which issues are currently top of mind for your customers? Alexander: I see two primary issues. The first is sustainability: reducing CO₂ emissions and lowering energy consumption, driven by regulatory requirements and compliance deadlines. The second is the growing international influence of regulatory frameworks. Today, we can clearly see how regulations established in one region increasingly affect companies in other parts of the world. DCNN: In this dynamic environment, where do you see the greatest growth opportunities for Janitza over the next several years, particularly on an international level? Alexander: Everywhere electrical infrastructure is critical, complex, and closely tied to economic growth. That includes data centres, industrial facilities, energy infrastructure, healthcare, and large commercial buildings. North America will remain one of our most important strategic markets, particularly because it is home to the world's largest data centre ecosystem. At the same time, we will continue to diversify our business and expand into new industries. Each region we are targeting faces its own challenges. We understand those challenges and know how to address them in different ways. That positions us well for continued growth. DCNN: Janitza celebrates its 40th anniversary in 2026. What can customers continue to expect from Janitza in the years ahead? Alexander: For us, Janitza’s 40th anniversary is both an opportunity to reflect on what we have achieved and a starting point for the next stage of our development. Over the years, we have built a strong commitment to quality and innovation that our customers can continue to rely on. At the same time, we are investing heavily to ensure that we remain among the technology leaders in our industry. Our customers can count on Janitza to remain the innovative specialist in energy measurement technology. This is our passion. For more from Janitza, cick here. This article is sponsored by Janitza

Rimac, Ecoblox develop AI data centre power systems

Rimac Technology, a Croatian supplier of electric vehicle batteries, powertrains, and software, and Ecoblox, a provider of modular data centres for AI and high-performance computing, have signed a joint development agreement to develop a modular data centre incorporating battery storage and power electronics technology for AI infrastructure. As demand for AI and high-performance computing increases, the availability of power, cooling capacity, and suitable deployment space is becoming an increasingly important consideration for data centre development. The companies say they aim to address these requirements through an integrated modular design for high-density workloads. The modular data centre will incorporate Rimac Technology’s UNI battery modules, alongside a battery management system (BMS) that provides real-time monitoring and control. Telemetry will feed into Ecoblox’s data centre infrastructure management (DCIM) platform, providing centralised monitoring, alarms, and analytics. The design also integrates power conversion, uninterruptible power supply (UPS) systems, precision cooling, and IT infrastructure within a single modular footprint. The companies say the battery system is intended to improve serviceability and extend backup power duration for critical computing equipment. Battery technology integrated into modular infrastructure Rimac Technology’s battery modules were developed for automotive applications and incorporate thermal management and safety features. The companies are now applying the technology to AI infrastructure, where power density, thermal management, and reliability are key considerations. Ecoblox, an NVIDIA Preferred Partner, provides modular data centres and GPU infrastructure integration, including cluster design, procurement, installation, and managed services. Its offering includes prefabricated air- and liquid-cooled enclosures, DCIM software, and high-performance computing and GPU-as-a-service platforms. Ecoblox says its infrastructure can be deployed in six to eight months, allowing cloud providers, enterprises, and sovereign computing projects to establish capacity close to available power sources. Doug Makishima, CEO at Ecoblox, comments, "Partnering with Rimac Technology allows us to redefine high-density power delivery for the next generation of AI compute. "By integrating automotive-grade energy storage and power electronics directly into our modular data centre architecture, we are removing grid constraints and enabling cloud providers and enterprise customers to deploy scalable, power-resilient AI clusters faster and more efficiently than ever before." Nurdin Pitarevic, CEO of Rimac Technology, adds, "Our battery and power electronics technologies have been developed and industrialised to meet some of the most demanding requirements in the automotive industry. "The same capabilities are increasingly relevant to high-power AI infrastructure, where power density, thermal management, safety, and reliability are critical. "Together with Ecoblox, we are applying these technologies to a new high-power application and bringing automotive-grade technology to AI data centres." The companies plan to install the modular data centre at Rimac Campus in November 2026. It will serve as a live demonstration of the joint system for customers and partners.

FiveNines partners on 20MW Morocco data centre

FiveNines Group, a London-based data centre design, engineering, and construction firm, has partnered with Nexus Core Systems to oversee the development of a 20MW data centre near Casablanca, Morocco, designed for high-density AI computing. The facility will use Nvidia’s Vera Rubin Cloud Partner Reference Architecture. FiveNines has been appointed to lead design management, technical governance, consultant coordination, constructability, and procurement strategy. Gerry Curran, CEO of FiveNines Group, says, “We are delighted to partner with Nexus Core Systems in order to construct an advanced data centre in North Africa. "This project will bring together our international data centre expertise with Moroccan architects, engineers, technical advisers, and relevant authorities. It further demonstrates the capability of FiveNines Group to undertake critical infrastructure projects of the highest standard alongside global industry leaders.” FiveNines will coordinate the early-stage development process, covering briefing, feasibility, design strategy, and concept design. The aim is to prepare a coordinated design package for engagement with the relevant authorities and submission of permit applications. Bastian Remmlinger, Head of Infrastructure at Nexus Core Systems, comments, “We are very pleased with the cooperation and services FiveNines Group has provided so far. "Their team has supported us well as we shape the design and delivery approach for the Morocco data centre. We look forward to continuing our work together on this ambitious project.” The project team will also work with lead design consultant Zutari; mechanical, electrical, and plumbing (MEP) consultant R&B MEP; and substation delivery partner Fonto Energy. Data centre forms part of wider AI development The 20MW facility will form part of the wider Nexus AI Factory Platform, which is being developed by Nexus Core Systems and its international partners. The platform has a target capacity of 180MW and is intended to run entirely on renewable energy. The Nexus AI Factory was announced in April 2026 at GITEX Africa Morocco in Marrakesh, following the signing of a memorandum of understanding with the Moroccan authorities. The project forms part of Morocco’s plans to establish itself as a regional centre for artificial intelligence. FiveNines Group, meanwhile, operates across several international markets, including northern and central Europe. The UK-headquartered company recently announced the completion of a 9.6MW data centre in Austria for a hyperscale client.

Supporting decommissioning through refrigerant recovery

As demand for AI, cloud-based services, and high-performance computing continues to grow, the UK data centre landscape is changing rapidly. Larger, more energy-intensive facilities are being developed to meet future digital infrastructure requirements, while some older and smaller data centres are being decommissioned, repurposed, or replaced. As part of a wider demolition project linked to the closure of a data centre, A‑Gas Rapid Recovery was appointed to safely recover refrigerant from cooling equipment before the site was stripped out, preventing the release of high global warming potential (GWP) refrigerants into the atmosphere and keeping valuable product in circulation. The challenge Data centres rely on cooling systems to maintain critical operating conditions. When these systems are decommissioned, refrigerant must be recovered safely, efficiently, and in line with F-Gas requirements. Releasing refrigerant into the atmosphere is not only harmful to the environment but also represents the loss of a valuable resource that can be reclaimed and reused. In this case, the project formed part of a broader demolition programme following the planned closure of the data centre. The customer required a specialist recovery partner capable of working safely within a complex site environment whilst helping ensure that high GWP refrigerants were captured and managed responsibly. The solution A-Gas Rapid Recovery provided an on-site refrigerant recovery solution, using specialist equipment and experienced engineers to recover refrigerant from the data centre’s cooling systems. By carrying out the recovery work ahead of demolition, A-Gas helped ensure that the refrigerant was removed safely and that the customer could progress the wider site closure project with confidence. The recovered refrigerant was managed in line with A-Gas’s Lifecycle Refrigerant Management (LRM) philosophy, which focuses on recovering, reclaiming, and repurposing refrigerant wherever possible. This approach helps reduce the need for virgin product, supports circularity, and ensures refrigerants are kept in use for as long as possible. The results • Recovered over one tonne of high-GWP refrigerants from the data centre site• Prevented refrigerant from being released into the atmosphere• Supported the wider demolition programme by enabling the safe decommissioning of cooling equipment• Kept valuable refrigerant product in circulation through responsible recovery and onward lifecycle management• Demonstrated how data centre closure projects can support both compliance and circular economy goals Jake Matthews, Head of Gas Acquisition at A-Gas, says, “Recovering refrigerant is critical to reducing emissions and protecting valuable resources. Every kilogram we recover is a kilogram prevented from being released into the atmosphere, helping our customers meet their environmental responsibilities while supporting a more circular approach to refrigerant management.” Why it matters The growth of AI and cloud-based services is increasing demand for modern data centre infrastructure. As the market evolves, older facilities may be closed, replaced, or upgraded to meet new requirements around capacity, power density, and efficiency. These transition points create an important opportunity to recover refrigerants responsibly and reduce the environmental impact of decommissioning activity. By partnering with A-Gas Rapid Recovery, customers can ensure that refrigerants are captured efficiently, handled compliantly, and directed into appropriate recovery, reclamation, or reuse pathways. For more from A-Gas, click here.