Article Featured in Data Centre & Network News
By Gordon Johnson, Senior CFD Engineer at Subzero Engineering

Today, edge data centers need to provide a highly efficient, resilient, dynamic, scalable and sustainable environment for critical IT applications.

Subzero Engineering, believes that containment has a vital role to play in addressing these requirements.

In recent years, edge computing has become one of the most prevalent topics of discussion within our industry. In many respects, the main purpose of edge data centers is to reduce latency and delays in transmitting data and to store critical IT applications securely. In other words, edge data centers store and process data and services as close to the end user as possible.

Edge is a term that’s also become synonymous with some of the world’s most cutting-edge technologies. Autonomous vehicles have often been discussed as one of the truest examples of the edge in action, where anything less than near real-time data processing and ultra-low latency could have fatal consequences for the user. There are also many mission-critical scenarios, including within retail, logistics and healthcare, where a typically high density computing environment, packed into a relatively small footprint and a high kW/rack load is housed within an edge environment.

Drivers at the edge

According to Gartner, by 2020, internet capable devices worldwide reached over 20 billion, and are expected to double by 2025.  It is also estimated that approximately 463 exabytes of data (1 exabyte is equivalent to 1 billion gigabytes) will be generated each day by people as of 2025, which equates to the same volume of data as 212,765,957 DVDs per day!

While the Internet of Things (IoT) was the initial driver of edge computing, especially for smart devices, these examples have been joined by content delivery networks, video streaming and remote monitoring services, with augmented and virtual reality software, expected to be another key use case. What’s more, transformational 5G connectivity has yet to have its predicted, major impact on the edge.

Clearly, there are significant benefits in decentralizing computing power away from a traditional data center and moving it closer to the point where data is generated and/or consumed. Right now, edge computing is still evolving but one thing we can say with certainty, is that the demand for local, near real-time computing represents a major shift in what types of services edge data centers will need to provide.

Efficiency and optimization remain key

An optimized edge data center environment is required to meet a long list of criteria, the first being reliability as edge facilities are often remote and have no on-site maintenance capabilities. Secondly, they require modularity and scalability, the ability to grow with demands. Thirdly, there’s the issue of a lack of a ‘true’ definition. Customers still need to define the edge in the context of their business requirements, deploying infrastructure in line with business demands, which can of course affect the design of their environment. And finally, speed of installation. For many end-users time to market is critical, so an edge data center often needs to be built and delivered on-site in a matter of weeks.

There is, however, one more important factor to consider. An edge data center should offer true flexibility, allowing the user to quickly adapt or capitalize on new business opportunities while offering sustainable and energy efficient performance.

Edge data centers are, in many respects, no different from traditional facilities when it comes to the twin imperatives of efficiency and sustainability. PUE as a measure of energy efficiency applies to the edge as much as to large, centralized facilities.

And sustainability, especially the drive towards net zero, is a major focus for the sector in its entirety. However, what will change over time is the ratio of edge data centers. By 2040, it’s predicted that 80% of total data center energy consumption will be from edge data centers, which begs an obvious question: what will make the edge energy efficient, environmentally responsible, reliable and sustainable all at the same time?

The role of containment

Containment is almost certainly the easiest way to increase efficiency in the data center. It also makes a data center environmentally conscious because, instead of consuming energy, containment saves it. This is especially true at the edge.

Containment helps users get the most out of an edge deployment because containment prevents cold supply from mixing with hot exhaust air. This allows supply temperatures at the server inlets to be increased.

Since today’s servers are recommended to operate at temperatures as high as 80.6 degrees Fahrenheit (27 degrees Celsius), containment allows for higher supply temperatures, less overall cooling, lower fan speeds, increased use of free cooling and reduced water consumption – all important factors when it comes to improving efficiency and reducing carbon footprint at the edge.

Further, a contained solution consumes less power than an application without it, which means an environmentally friendly, cost-effective environment. Additionally, it improves reliability, delivering longer Mean Time Between Failures (MTBF) for the IT equipment, as well as lower PUE.

Uncertainty demands flexibility

Subzero believes that an edge data center needs to be flexible and both quick and easy to install. It needs to be right-sized for the here and now, but capable of incremental, scalable growth. Further, it should allow the customer to specify the key components, such as the IT, storage, power and cooling solutions, without constraining them by size or vendor selection.

Thankfully, there are edge data center providers who now offer an enclosure built on-site in a matter of days, with ground-supported or ceiling-hung infrastructure to support ladder racks, cable trays, racks and cooling equipment.

These architectures mean the customer can choose their own power and cooling systems and, once the IT stack is on-site and the power is connected, the data center can be up and running in a matter of days.

Back in 2018, Gartner predicted that, by 2023, three-quarters of all enterprise-generated data would be created and processed outside a traditional, centralized data center. As more and more applications move from large, centralized data centers to small edge environments, Subzero anticipates that only a flexible, containerized architecture will offer end-users the perfect balance of efficiency, sustainability and performance.

Article Featured in Data Centre Review
By: Andy Connor, Director – EMEA Channel at Subzero Engineering

For many years, the data centre industry has been engaged in a deep discussion on the concept of edge computing. Yet the definition varies from vendor to vendor and from customer to customer, creating not only mass confusion, but a fixed mindset in terms of solutions design.

One might argue that through its lack of a true definition, the subjective nature of the edge has led the industry down an often singular path, where edge technologies have been designed to hypothetically meet the customers’ needs, but without the application in mind.

IDC defines the edge as the multiform space between physical endpoints such as sensors and the ‘core’, or the physical infrastructure – the servers, storage and compute – within cloud locations and data centres. Yet within more traditional or conservative sectors, some customers are yet to truly understand how the edge relates to them, meaning the discussion needs to change, and fast.

Defining the edge

When the trend of edge computing began to gain traction, the Infrastructure Masons were one of the first to try and define it. But even they recognised its largely subjective nature was beginning to cause market confusion, and stated that a widely accepted definition would become more essential as the industry began to confront the challenges that will arise at the edge.

What’s clear is that the business case for edge technologies is becoming more prevalent, and according to Gartner, “by 2022, more than 50% of enterprise-generated data will be created and processed outside the data centre or cloud.” All this data invariably needs a home and depending on the type of data that is stored, whether it’s business or mission-critical, the design and location of the infrastructure will undoubtedly need to vary.

One size fits all?

Today in our industry, there’s a very real danger that, when it comes to the edge, many end-users will be sold infrastructure defined by the manufacturer and not based on the customer’s needs. And that’s because edge solutions are often found in one size, type or variable form factor. This creates a market whereby potential customers are persuaded that ‘one size fits all’, and that’s a far cry from the modular and agile approach that the industry has turned towards in recent years.

The reality is that the edge has almost as many definitions as there are organisations trying to define it. And, while there are a range of well-defined and well-understood edge applications already in use such as micro data centres in retail locations, localised infrastructure providing low latency content delivery to avid viewers, there are many edge applications yet to be fully understood, defined or implemented.

Many existing edge applications remain unpredictable in terms of their data centre and IT resources. And often local infrastructure is required to support the continued roll-out of a service looking to scale.

In summary, most, if not all, organisations are faced with making frequent decisions about the best place to build, or access, edge infrastructure resources. And in today’s dynamic, digital world such decisions need to focus on the customer’s business requirements, providing them with a flexible, agile and optimised architecture that’s truly fit-for-purpose.

Finding flexible solutions

A standard-size container or micro data centre might be far too big for the business’ needs – but the assumption is that maybe the user will grow into it. And then there’s the question of customisation. What if the solution needs to be liquid-immersion cooling enabled for GPU-intensive computing at the edge? Not every micro data centre architecture can be built for that technology, and certainly not if the customer needs to scale quickly.

There’s a question of cost. Micro data centres in standard form factors, or pre-integrated systems, often contain CAPEX-intensive server and storage technologies from manufacturers defined by the vendor. This, again, is a far cry from a solution that is defined to meet the business needs.

In our industry, relationships are everything, and one must acknowledge that customers will want to specify power, cooling and IT infrastructure from their own choice of suppliers, and at a cost that meets their budgetary requirements.

At Subzero Engineering, we believe customers need a solution that supports their business criterion, and one that helps them capitalise on the emerging opportunities of the edge. What’s more, we believe that containerised edge data centres, which are optimised for the application, built ready to scale and vendor-neutral for any type of infrastructure, are those that can truly meet the needs of the end-user.

What’s clear is that with the advent of edge computing, the customer needs to define their edge. And as design and build consultants, our goal must be to support their needs with flexible, mission-critical solutions.

Article Featured in Data Centre Review
By: Gordon Johnson, Senior CFD Manager, Subzero Engineering

The current and growing industry focus on sustainability has highlighted the need to work towards energy efficient data center designs, which, in turn, should provide the perfect combination of sustainable operating conditions. The end result being truly optimized data center performance.

Computational Fluid Dynamics (CFD) plays a vital role when it comes to data center construction, retrofit, and helping improve the efficiency and performance of legacy data centers. It allows the owner or operator to simulate endless combinations of racks, cabinets, cabling, and mechanical and engineering (M&E) equipment for greater optimization.

The owners and operators of these facilities may not be aware that they are literally blowing a lot of (unnecessary) cold air into the aisles in order to keep the servers, switches, routers, and the storage units cool. What they will know, however, is that this wasted air is wasted money. Worse still, emissions will be increased, hot spots will remain an issue, and they will eventually experience equipment failures.

Many data center managers know that something has to change to overcome this unsustainable situation, but they may not have a plan or strategy. This is where CFD is critical.

CFD is essentially an MRI of the data center, and when it comes to informed decision-making, the mantra ‘if you can’t measure it, you can’t manage it’ still holds strong. However, in the case of CFD, ‘if you can’t measure it, you can’t improve it’ may be more appropriate.

What is a CFD analysis?

CFD software creates a 3D model of the physical attributes within a data center, as well as the location and performance characteristics of the cooling units, IT equipment, power systems, and other significant components of the data center.

This ‘data center MRI’ provides a complete, detailed thermal understanding of the data center, providing insight relating to the physical layout of the space and equipment; the power equipment thermal dissipation and rack power density; environmental conditions; cooling capacity and air distribution effectiveness.  This is the baseline model or the “as is” snapshot of how the data center is currently operating.

From the information obtained, additional CFD modeling will recommend how to optimize the operating environment while reducing energy and maximizing efficiency.

Many key benefits of CFD analysis include assessment of the data center layout and its performance; validation of proposed design changes, considerations for efficiency and reliability; accurate prediction/simulation of the cooling design process; the ability to assess temperature and airflow modeling; and reconditions for a cost-effective and energy efficient design.

CFD provides clarity

A data center CFD analysis provides the visibility that is essential when it comes to understanding both your existing operating environment and any potential design changes. CFD can also be used to test out ‘what if’ scenarios when it comes to new data center construction or modernization projects.

In essence, a CFD provides detailed, data-driven analysis of the cold supply air and the hot exhaust air throughout the data center, and identifies the potential overheating of IT equipment “hot spots”. Such analysis highlights the way in which energy costs can be reduced by optimizing and maximizing data center cooling. CFD is a tool used to virtually test legacy (and new) data center environments for active temperature, pressure and airflow, and to optimize the mechanical system directly to server heat loads (kW).

Armed with data from the CFD analysis, a suitably experienced technology partner, such as Subzero Engineering, can advise customers on impactful data center design changes, upgrades, or tweaks to improve operating improvements – all of which will help optimize and reduce energy usage.

For example, CFD modeling can demonstrate what impact a cold aisle containment (CAC) system will have versus a hot aisle containment (HAC) system. It will advise which method will save more energy, full or partial containment. After containment is installed, it will show if computer room air conditioning (CRAC) units can be turned off and how low fan speeds can be reduced on computer room air handlers (CRAHs). Finally, it will also inform the user on how high the operating temperature can be increased, while following the recommended thermal guidelines from AHSRAE.

The end result is that CFD based design improvements will provide customers with significant PUE, WUE, KW, kWh, carbon, and water reductions.

A logical conclusion

One of the major benefits of using CFD modeling and analysis is that it can quickly demonstrate how a containment solution will immediately reduce a data center’s energy cost and lower its environmental footprint.

Regardless of which type of containment is used, large energy savings can be achieved by optimizing the airflow and raising the supply temperature, while simultaneously eliminating hotspots. Additionally, containment improves the benefits and economic feasibility of other efficiency measures, such as digital scroll compressors, electronic commutation (EC) and variable speed drives, data center infrastructure management (DCIM) software, and building controls.

Further, by separating the cold supply air from the hot exhaust air, containment saves energy, thus reducing operating costs. Yes, there is the initial investment cost of installing the containment solution, but the potential return on investment (ROI) of 10-14 months means that, very quickly, end-users will achieve payback. What’s more, from that point onwards, they’ll be saving energy, reducing operating expenditure (OpEX) money, and reducing carbon emissions to become more sustainable.

A savings summary

Since 2015, we’ve kept track of the various savings we have achieved for our customers through the careful, considered optimization of their data center environments. The numbers are impressive: our customers have saved just under 3.5 billion Kilowatt hours, reduced water consumption by one and a half billion gallons and have a total carbon reduction of over 3.2 million tons – the equivalent of planting 17 million trees.

Along the way, we’ve also been able to help customers achieve up to a 29% energy cost reduction, and been able to reduce PUE (Power Usage Effectiveness) by an average of 0.4 and WUE (Water Usage Effectiveness) by an average of 0.3.

Subzero Engineering believes that a data-driven approach to digital infrastructure is essential and thanks to the use of CFD, we can simultaneously help our customers increase data center density, operating efficiency, and environmental sustainability by implementing optimized containment solutions.

However you choose to address the challenge and opportunity of improving the efficiency of your data center, it’s essential that CFD is used as a key tool in this process. Without CFD, whether you choose to implement an optimization program yourself, or to engage with a technology partner, you’ll neither be able to understand how your data center is performing right now, nor what improvements can be made into the future.

By Sam Prudhomme, Vice President of Sales & Marketing, Subzero Engineering

Modular, customizable, and scalable micro data center architectures can meet the end user’s requirements perfectly, allowing end-users to truly define and embrace their edge.

For many years the industry has been in a deep discussion about the concept of edge computing. Yet the definition varies from vendor to vendor, creating confusion in the market, especially where end-users are concerned. In fact, within more traditional or conservative sectors, some customers are yet to truly understand how the edge relates to them, meaning the discussion needs to change, and fast.

According to Gartner, “the edge is the physical location where things and people connect with the networked, digital world, and by 2022, more than 50% of enterprise-generated data will be created and processed outside the data center or cloud.” All of this data invariably needs a home, and depending on the type of data that is secured, whether it’s business or mission-critical, the design and location of its home will vary.

Autonomous vehicles are but one example of an automated, low- latency and data-dependent application. The real-time control data required to operate the vehicle is created, processed and stored via two-way communications at a number of local and roadside levels. On a city-wide basis, the data produced by each autonomous vehicle will be processed, analyzed, stored and transmitted in real-time, in order to safely direct the vehicle and manage the traffic. Yet on a national level, the data produced by millions of AVs could be used to shape transport infrastructure policy and redefine the automotive landscape globally.

Each of these processing, analysis, and storage locations requires a different type of facility to support its demand. Right now, data centers designed to meet the needs of standard or enterprise business applications are plentiful. However, data centers designed for dynamic, real-time data delivery, provisioning, processing, and storage are in short supply.

That’s partly because of the uncertainty over which applications will demand such infrastructure and, importantly, over what sort of timeframe. However, there’s also the question of flexibility. Many of the existing micro data center solutions are unable to meet the demands of edge or, more accurately, localized, low-latency applications, which also require high levels of agility and scalability. This is due to their pre-determined or specified approach to design and infrastructure components.

Traditionally, the market has been met with small-scale, edge applications, which have been deployed in pre-populated, containerized solutions. A customer is often required to confirm to a standard shape or size and there’s no flexibility in terms of their modularity, components, or make-up. So how do we change the thinking?

A Flexible Edge

Standardization has, in many respects, been crucial to our industry. It offers a number of key benefits, including the ability to replicate systems predictably across multiple locations. But when it comes to the edge, some standardized systems aren’t built for the customer – they’re a product of vendor collaboration: One that’s also accompanied by high-costs and long lead times.

On the one hand, having a box with everything in it can undoubtedly solve some pain points, especially where integration is concerned. But what happens if the customer has its own alliances, or may not need all of the components? What happens if they run out of capacity in one site? Those original promises of scalability, or flexibility disappear, leaving the customer with just one option – to buy another container. One might consider that that rigidity, when it comes to ‘standardization’, can often be detrimental to the customer.

There is, however, the possibility that such modular, customizable, and scalable micro data center architectures can meet the end user’s requirements perfectly, allowing end-users to truly define and embrace their edge.

Is There a Simpler Way?

Today forecasting growth is a key challenge for customers. With demands increasing to support a rapidly developing digital landscape, many will have a reasonable idea of what capacity is required today. But predicting how it will grow over time is far more difficult, and this is where modularity is key.

For example, pre-pandemic, a content delivery network, with capacity located near large users groups may have found itself swamped with demand in the days of lockdown. Today, they may be considering how to scale up local data center capacity quickly and incrementally to meet customer expectations, without deploying additional infrastructure across more sites.

There is also the potential of 5G-enabled applications, so how does one define what’s truly needed to optimize and protect the infrastructure in a manufacturing environment. Should an end-user purchase a containerized micro data center because that’s what’s positioned as the ideal solution? Or, should they customize and engineer a solution that can grow incrementally with demands? Or would it be more beneficial to deploy a single room that offers a secure, high-strength, and walk-able roof that can host production equipment?

The point here is that when it comes to micro data centers, a one-size-fits-all approach does not work. End-users need the ability to choose their infrastructure based on their business demands – whether they be in industrial manufacturing, automotive, telco, or colocation environments. But how can users achieve this?

Infrastructure Agnostic Architectures

At Subzero Engineering, we believe that vendor-agnostic, flexible micro data centers are the future for the industry. For years we’ve been adding value to customers, and building containment systems around their needs, without forcing their infrastructure to fit into boxes.

We believe users should have the flexibility to utilize their choice of best-in-class data center components, including the IT stack, the uninterruptible power supply (UPS), cooling architecture, racks, cabling, or fire suppression system. So by taking an infrastructure-agnostic approach, we give customers the ability to define their edge, and use resilient, standardized, and scalable infrastructure in a way that’s truly beneficial to their business.

By taking this approach, we’re also able to meet demands for speed to market, delivering a fully customized solution to site within six weeks. Furthermore, by adopting a modular architecture that includes a stick-built enclosure, and the ability to incorporate a cleanroom, and a walk-able, mezzanine roof, users can scale as demands require it, and without the need to deploy additional containerized systems.

This approach alone offers significant benefits, including a 20-30% cost-saving, compared with conventional ‘pre-integrated’, micro data center designs.

For too long now, our industry has been shaped by vendors that have forced customers to base decisions on systems which are constrained by the solutions they offer. We believe now is the time to disrupt the market, eliminate this misalignment, and enable customers to define their edge as they go.

By providing customers with the physical data center infrastructure they need, no matter their requirements, we can help them plan for tomorrow. As I said, standardization can offer many benefits, but not when it’s detrimental to the customer.

The increase in data and the need for high-speed data transfers has inspired the recent trend known as edge computing. Learn more about this topic.

Each day, technology touches nearly every aspect of our lives in one way or the other. For example, how many times a day do each of us access one or more apps on our smart phone? This trend of needing, creating, transferring, and accessing data in fractions of a second isn’t going away either. According to Gartner Research, by 2020, internet capable devices worldwide reached over 20 billion, and this number is expected to double by 2025. It is also estimated that approximately 463 exabytes of data (1 exabyte is equivalent to 1 billion gigabytes) will be generated each day by people as of 2025, that’s the equivalent of 212,765,957 DVDs per day! Along with this increase comes the need to have this data as fast as possible, with minimum delay or latency, something most of today’s data centers are not capable of.

The increase in data and the need for high-speed data transfers has inspired the recent trend known as edge computing. What exactly is the edge? What is an edge data center? How are edge data centers evolving and how can facility and data center managers be ready without being left behind? What about the challenge of making a resilient, modular, and scalable edge data center while maintaining high efficiency and reliability? This paper will answer these and many more questions about the edge in the following topics:

• What is an Edge Data Center
• The Evolution of Edge Computing
• How Organizations are Responding to Edge Data Centers
• Solving the Challenge of Modular and Scalable Edge Infrastructures
• Reliability and Efficiency Needed at the Edge
• Containment’s Critical Role in Edge Deployments
• Bridging the Gap to the Edge, Now and Future

By Sam Prudhomme, Vice President of Sales & Marketing

Learn about relatively simple actions, which will have an immediate positive impact on your facility, and with an ROI measured in months rather than years.

Recently, I was interviewed by a Computer Weekly journalist, Fleur Doidge, who was writing an article focusing on the quick wins when it comes to improving systems performance in the data center. Inspired by our discussion, I’ve come up with Subzero’s top 5 ways to boost data center utilization.

The data center industry, quite rightly, has an ongoing, major focus on how it can improve both the performance and energy efficiency of its facilities. That’s partly down to the perception that our industry are major consumers of energy and contribute a high volume of carbon emissions each year.

According to an article published in Science Magazine, data centers account for around 1% of global energy use. It’s clear that we need to improve our environmental performance and to ensure we never forget we’re part of the sustainability solution, but we should also remember that data center performance and energy efficiency improvements make great business sense.

While there are many, many issues to consider as part of a comprehensive, long-term strategy to both improve data center performance as well as to achieve carbon neutral status, this article focuses on the ‘low hanging fruit’ – relatively simple actions, which will have an immediate positive impact on your facility, and with an ROI measured in months rather than years.

Step 1 – As Easy as (free) CFD

Those of you who know Subzero Engineering well will not be surprised that Step 1 involves a Environmental Impact Evaluation (CFD) of your data center. We believe it all starts with the data and offer this service for free. It is a simple, efficient, and super-fast way of discovering just how your data center is performing right now – where the power is, where the heat is, and isn’t, hence where the cold air does or doesn’t need to be.

Step 2 – Using the Data

Once the Environmental Impact Evaluation (CFD) has been carried out, you’ll be armed with a large quantity of data about how your data center is performing. It’s highly likely that you’ll be presented with some really quick wins. For example, you’ll discover where the hotspots (points of efficiency leakage) are; and part of the solution may be something as simple as installing any necessary blanking panels.

Then again, the CFD data may highlight that Row 5 in Rack 6 is running 15 degrees hotter than anywhere else in the data center. You’ll be able to decide whether you need to move this stack to a better location where more cooling is available, or maybe you just need to open up the grate to optimize or increase the airflow.

Step 3 – The 3 ms: Measuring, monitoring & Modulation

A data center is a live environment. So, although the CFD analysis can identify and help to resolve what we might call any ‘permanent’ power and cooling issues, it’s essential that you monitor and measure the performance of the power and cooling plant in real-time. This is because data center variables such as the IT load and operating temperatures are in constant flux. With the right system you are able to modulate the airflow accordingly. For example, if the cooling needs to react to the load inside each rack and cabinet, as well as respond to the impact of, say, an extremely hot outside temperature.

Rather than blast a load of cold air into the data center and ‘hope’ that it keeps the IT hardware within operating tolerances, with the right monitoring solution, you can be confident that you can modulate the cold air as required right down to the rack level. This ensures that the cooling usage is as effective and energy efficient as possible.

Step 4 – Contain Your Excitement

How would you like to reduce your PUE by 0.4? Or to achieve a 29% reduction in data center energy consumption? Well, these are the average savings we achieve for our customers when they deploy one of our containment solutions.

The initial Environmental Impact Evaluation (CFD) we carry out also proves how this can be achieved – it compares and contrasts hot vs cold aisle containment and containment vs no containment. Furthermore, a containment solution ensures that Steps 1-3 really do achieve the maximum performance and energy efficiency improvements within the data center.

Without containment, you’ll still have hotspots – separating hot and cold air will be hit and miss and far from being optimized.

With containment, you can bring down the power consumption to cooling ratio close to a 1:1 match in KW consumed – that’s how the energy consumption/utility bill reduction is achieved.

As for the PUE reduction? Well, that’s achieved by smarter, more efficient use of an optimized combination of chilled water and the air conditioning fans. The US Environmental Protection Agency (EPA) estimates that containment can reduce fan energy consumption by up to 25% and deliver 20% savings at the cold water chiller.¹

One final containment benefit – we supplied a containment solution to a colo customer and by separating the hot and cold air in their facility, we helped them to not only eliminate hotspots, but also to increase rack density by an average of 14%.

Step 5 – Turn the Lights out

This breadth of knowledge brings me to my final data center performance and energy efficiency improvement: turn out the lights. By that, I actually mean remove anything incandescent and go with an LED retrofit kit within your existing tray system. And then automate the lighting system.

It may be a while before a true lights out data center becomes the norm, if ever, but that’s no excuse not to ensure that your lighting system is as energy efficient as possible. By using LEDs and only using the lights when needed you’ll improve your energy efficiency as well as your bank balance.

While Subzero Engineering’s major focus is data center consultancy, using CFD analysis and containment solutions, to help drive performance and efficiency improvements we can also help owners/operators with their critical power infrastructure, DCIM and other solutions as required.

Download the 5 Steps to Improving Data Center Performance & Energy Efficiency PDF by visiting our Resources Page.

References

¹Recalibrating global data center energy-use estimates – Science Magazine 2018