5 Ways to Increase Data Center Cooling Optimization
Data centers are running hotter than ever. As rack densities climb past 30 to 50 kW and AI workloads push compute demands even higher, cooling has quietly become one of the biggest line items on the operational budget, often accounting for 30% to 40% of total facility energy consumption. For data center operators, that creates a real tension: push cooling too hard, and you’re wasting power usage and money; ease off too much, and you risk thermal hotspots, equipment failure, or downtime.
Data center cooling optimization isn’t about choosing between performance and efficiency. It’s about finding the strategies that deliver both. The good news is that most facilities have more room to improve than they realize. Whether you’re running legacy CRAC units or evaluating liquid cooling solutions for a high-density buildout, small, targeted changes to airflow, temperature setpoints, and monitoring can meaningfully reduce energy consumption without touching uptime.
Below are five practical ways to improve cooling performance in your facility, starting with how to identify where you’re actually losing efficiency in the first place.
How to Measure Cooling Performance Before You Optimize
Before implementing any changes, it’s worth understanding where your cooling infrastructure is actually underperforming. Optimization without a baseline is guesswork, and guesswork tends to waste time and budget on fixes that don’t move the needle.
Start by looking at your facility’s core efficiency metric: Power Usage Effectiveness (PUE). PUE compares total facility energy use to the energy consumed by IT equipment alone, and it’s the industry standard for benchmarking cooling efficiency. The math is simple:
PUE = Total Facility Energy ÷ IT Equipment Energy
| PUE Range | What It Means |
| 2.0 or higher | Significant inefficiency, likely outdated cooling design |
| 1.5 to 2.0 | Average performance for many legacy facilities |
| 1.2 to 1.4 | Strong performance, modern cooling systems in place |
| Below 1.2 | Best-in-class, typical of hyperscale or purpose-built facilities |
A PUE closer to 1.0 means nearly all your energy is going toward actual computing rather than overhead like cooling and power distribution. If your facility is sitting above 1.5, that’s usually a sign there’s meaningful room for improvement.
Beyond PUE, a few other diagnostic steps can help pinpoint exactly where thermal management is falling short:
- Install rack-level temperature and humidity sensors. Localized data reveals hotspots that facility-wide averages tend to hide.
- Audit airflow patterns. Bypass air, or cool air that escapes without ever reaching IT equipment, is one of the most common (and most fixable) sources of wasted energy usage.
- Review your monitoring systems. DCIM (Data Center Infrastructure Management) software can consolidate sensor data, power draw, and environmental conditions into a single dashboard, making it far easier to spot trends and act on them.
- Track historical energy costs. Spikes in power consumption during specific hours or seasons often point to inefficiencies that a fixed setpoint or schedule change could resolve.
Once you know where the losses are coming from, you can prioritize the fixes that will actually move your data center capacity and efficiency numbers, rather than applying broad changes and hoping for the best. The five strategies below are where most operators find the biggest wins.
1. Improve Airflow Management With Smarter Cooling Systems
Airflow problems are one of the most common (and most overlooked) drivers of poor cooling performance. Even a well-designed data center cooling system can underperform if hot and cold air are allowed to mix, forcing equipment to work harder than it should.
The fix starts with cold aisle containment. By physically separating cold air intake aisles from hot air exhaust aisles using barriers, curtains, or sliding doors, you prevent hot and cold air from mixing before it reaches your servers. According to ASHRAE, containment strategies alone can reduce cooling energy by 15% to 20%, making this one of the highest-ROI changes available to most facilities.
A few additional airflow fixes worth prioritizing:
- Install blanking panels. Empty rack space without a panel lets hot air recirculate back into the cold aisle, undermining containment efforts.
- Check server orientation. Equipment installed backward pulls hot air instead of cold, damaging hardware and wasting energy in the process.
- Clear cable clutter and floor obstructions. Blocked perforated tiles or tangled cabling restrict airflow and create uneven cooling across the room.
- Calibrate temperature alarms correctly. Alarms set too tight generate constant false alerts; alarms set too wide can miss a real cooling failure until it’s already causing damage.
Together, these changes are often called optimized airflow management, and they typically require no new hardware investment, just better organization and monitoring of what’s already in place. For many data center operators, this is the first strategy to tackle because it delivers meaningful energy savings with minimal cost or disruption to uptime.
2. Adjust Temperature Setpoints to Cut Energy Consumption
One of the simplest, lowest-cost ways to improve cooling efficiency is also one of the most underused: raising your temperature setpoint. Many facilities still run cooler than necessary based on outdated assumptions about what equipment requires.
ASHRAE’s current thermal guidelines allow data center intake temperatures up to 80.6°F (27°C) for most standard IT equipment, well above the 65 to 68°F many operators still target out of habit. Every degree you raise your setpoint reduces the workload on cooling systems, directly cutting energy consumption without sacrificing equipment reliability.
| Setpoint Range | Typical Impact |
| 65 to 68°F (legacy standard) | Conservative, but highest energy costs |
| 72 to 75°F (ASHRAE recommended) | Balanced approach, meaningful savings with low risk |
| 77 to 80.6°F (upper allowable limit) | Maximum efficiency, requires strong monitoring and containment |
A few things to keep in mind before adjusting setpoints:
- Confirm your equipment’s tolerance. Check manufacturer specs for actual allowable intake temperatures rather than relying on outdated internal standards.
- Pair setpoint changes with containment. Raising temperatures works best alongside cold aisle containment, since it prevents hot spots from forming as the overall environment warms.
- Adjust gradually. Move setpoints up incrementally and monitor equipment performance at each stage rather than making a large jump at once.
Raising setpoints also opens the door to free cooling (sometimes called free air cooling), where facilities in cooler climates use outside air to supplement or temporarily replace mechanical air conditioning. This stands in contrast to relying solely on traditional air cooling systems running at full capacity year-round. Facilities that can take advantage of economization have seen reducing energy costs translate into measurable PUE improvements, often in the range of 0.1 to 0.2 points, simply by using outside air when conditions allow.
The goal isn’t to eliminate cooling capacity; it’s to maintain optimal operating temperatures for your equipment while minimizing the energy spent getting there.
3. Monitor Data Center Energy in Real Time
Airflow fixes and setpoint adjustments deliver strong results, but without ongoing visibility into how your facility is actually performing, those gains tend to erode over time. Real-time monitoring is what turns a one-time optimization project into sustained operational efficiency.
Data center energy management starts with the right tools in place. DCIM (Data Center Infrastructure Management) platforms pull data from power meters, temperature sensors, and humidity sensors across the facility, converting raw readings into dashboards that make energy management actionable rather than theoretical. Instead of reacting to problems after they cause downtime, teams can catch inefficiencies early and address them before they escalate.
A strong monitoring setup typically includes:
- Rack-level temperature and humidity sensors to catch localized hotspots that room-wide averages miss
- Power meters tracking consumption by circuit, rack, or zone for granular visibility into where energy is actually going
- Airflow sensors to confirm that cold air is reaching equipment as intended, rather than bypassing it
- Automated alerts tied to defined thresholds, so teams are notified before conditions become critical
Beyond day-to-day visibility, consistent monitoring supports enhancing energy efficiency over the long term by revealing patterns that aren’t obvious from a single snapshot. For example, tracking power usage across a full billing cycle might reveal that certain zones consistently run warmer during specific hours, pointing to a scheduling or workload distribution issue rather than a cooling equipment problem.
This is also where data processing and data storage demands come into play. As compute loads shift throughout the day (batch jobs, backups, peak traffic windows) cooling demand shifts with them. Facilities that only monitor for static thresholds often miss these fluctuations, while those with dynamic, real-time monitoring can adjust cooling output to match actual load rather than worst-case assumptions.
The result is improved energy efficiency that compounds over time, since every optimization made in Strategies 1 and 2 above is protected and reinforced by the visibility this step provides.
4. Tackle Heat Load With Advanced Cooling Technologies
Airflow and setpoint adjustments go a long way, but as modern data centers push rack densities past 30 to 50 kW (and increasingly toward 100 kW in AI-driven deployments), air alone often can’t keep up with the heat load being generated. This is where liquid cooling enters the picture.
Liquid transfers heat far more efficiently than air, in some cases more than 1,000 times more effective at moving heat away from IT equipment. For facilities supporting high-performance computing, AI training clusters, or cloud computing workloads, advanced cooling technologies built around liquid aren’t just a nice-to-have anymore. They’re becoming a practical necessity for facilities that want to keep scaling without cooling costs scaling right along with them.
There are three main approaches worth understanding:
Direct Liquid Cooling
Direct liquid cooling circulates coolant through tubing that runs directly to heat-generating components like CPUs and GPUs, often via cold plates or micro-channel heat sinks mounted right on the chip. Because the coolant absorbs heat at the source rather than relying on fans to pull it away, this method handles heat generation far more efficiently than traditional air cooling, especially in ultra-high-density zones.
Cold Plate Cooling
A cold plate is a metal plate with internal channels through which liquid flows, positioned directly on top of a processor to draw heat away as it’s generated. Cold plate systems are often paired with a plate heat exchanger, which transfers that absorbed heat into a separate loop (frequently tied into a cooling tower or the facility’s existing chilled water system) without letting the two fluid loops physically mix. This setup is one of the more accessible entry points into liquid cooling solutions, since it can often integrate with infrastructure already in place.
Immersion Cooling
Immersion cooling takes the concept furthest by submerging entire servers directly in a dielectric fluid that doesn’t conduct electricity. The fluid absorbs heat across the entire surface of the equipment rather than just at specific hot spots, making it one of the most effective methods available for extremely dense compute environments. It also eliminates the need for traditional fans altogether, cutting mechanical energy usage even further.
Rear door heat exchangers (RDHXs) offer a middle ground worth mentioning here too. Mounted on the back of server racks, they absorb exhaust heat before it ever escapes into the room, often using a Cooling Distribution Unit (CDU) to isolate the facility’s chilled water loop from the sensitive IT load. Many data center industry operators use RDHXs as a first step into liquid cooling, since they require less disruption than a full immersion or direct-to-chip retrofit.
| Method | Best For | Relative Complexity |
| Rear door heat exchangers | Moderate-density retrofits | Low |
| Cold plate / direct-to-chip | High-density racks, targeted hot spots | Medium |
| Immersion cooling | Ultra-high-density, AI/HPC clusters | High |
Whichever method fits your facility, the goal is the same: move waste heat away from equipment faster and more efficiently than air alone can manage, without requiring cooling systems to work harder than necessary.
5. Upgrade Equipment for Optimizing Data Center Performance
The first four strategies focus on managing airflow, temperature, and heat more intelligently. This final strategy is about the equipment itself, since even the best-managed cooling infrastructure can only perform as well as the hardware running it.
Optimizing data center performance at the equipment level usually comes down to a few targeted upgrades:
- Electronically commutated (EC) fans: Replacing legacy fan motors with EC fans can yield up to 20% in energy savings, since they adjust speed dynamically rather than running at a fixed rate regardless of actual cooling demand.
- Variable Frequency Drives (VFDs): Pumps and fans equipped with VFDs ramp output up or down based on real load rather than running at full capacity around the clock, meaningfully helping to minimize energy consumption during periods of lower demand.
- Smart coil design: Modern CRAH (Computer Room Air Handler) units with improved coil design transfer heat more efficiently per unit of airflow, reducing the workload placed on the rest of the cooling infrastructure.
- Proper valve selection: In chilled water systems, choosing 2-way valves over 3-way valves where appropriate reduces unnecessary pump energy.
These upgrades matter because oversized or inflexible equipment, gear sized for peak load rather than typical operating conditions, tends to waste a significant amount of overall energy usage even when the facility isn’t running anywhere near capacity. A cooled data center built around static, constant-speed equipment is almost always less efficient than one built around components that adjust to real-time demand.
It’s also worth evaluating whether your facility can incorporate renewable energy sources to offset the power draw of upgraded cooling equipment. While this doesn’t reduce cooling demand directly, it does lower the environmental and cost impact of running an efficient system, and many operators find that hardware upgrades and renewable sourcing make a stronger business case when paired together.
The table below summarizes how each equipment upgrade contributes to efficient cooling strategies:
| Upgrade | Typical Energy Savings | Best Applied To |
| EC fans | Up to 20% | Legacy CRAC/CRAH units |
| VFDs on pumps/fans | 20% to 35% | Facilities with variable load patterns |
| Smart coil CRAH units | Improves heat exchange efficiency | High-density zones |
| Optimized valve selection | Reduces pump energy | Chilled water systems |
None of these upgrades requires a full infrastructure overhaul. Most can be implemented incrementally, making this one of the more approachable ways to build a genuinely best cooling system setup over time rather than all at once.
Comparing Data Center Cooling Methods: Which Strategy Fits Your Facility?
Not every data center needs the same approach. The right combination of strategies depends on your rack density, budget, climate, and how much cooling infrastructure you’re able to retrofit versus build from scratch. The table below summarizes how each of the five strategies stacks up, so you can prioritize based on what your facility actually needs.
| Strategy | Upfront Cost | Typical Savings | Best For |
| Airflow management & containment | Low | 15% to 20% | Any facility, especially quick wins |
| Setpoint adjustments | Low | Varies, often 0.1 to 0.2 PUE points | Facilities running conservative legacy temps |
| Real-time monitoring | Medium | 25% to 35% (fan energy) | Facilities lacking dynamic controls |
| Liquid cooling (direct, cold plate, immersion) | Medium to High | 25% to 40% in high-density zones | AI/HPC workloads, racks above 30 kW |
| Equipment upgrades (EC fans, VFDs) | Medium | 20% to 35% | Facilities with aging or constant-speed hardware |
A few general guidelines for choosing where to start:
- If your facility is still running on outdated airflow practices, containment and setpoint adjustments will likely deliver the fastest, lowest-cost wins.
- If you’re supporting high-density or AI-driven workloads, air alone may no longer be sufficient. A liquid cooling system, whether through cold plates, direct-to-chip, or immersion, becomes less of an upgrade and more of a requirement.
- If your equipment is aging, prioritizing upgrades like EC fans and VFDs will often maximize efficiency more effectively than adjusting airflow or setpoints alone, since the hardware itself is the bottleneck.
It’s also worth noting that these strategies aren’t mutually exclusive. In fact, most facilities that achieve meaningful gains in energy efficiency combine several at once. Effective data center cooling design rarely relies on a single fix. A facility might pair cold aisle containment with real-time monitoring, or combine liquid cooling for high-density racks with traditional cooling units for the rest of the room.
The bigger picture is this: whether your goal is data center energy optimization, meeting sustainability targets, or simply keeping operating costs under control, efficient data center cooling is rarely about one dramatic change. It’s about layering the right strategies together and knowing which ones to prioritize based on where your facility currently stands.
Smarter Cooling Strategies Start Here
Whatever stage your facility is at, from optimizing existing air cooling to planning a liquid cooling retrofit, the goal stays the same: reliable performance, lower operating costs, and a smaller environmental footprint.
MIH Systems helps data center operators identify exactly where cooling efficiency is being lost and implement the right mix of strategies to fix it, without compromising uptime along the way. Whether you need an airflow audit, a monitoring upgrade, or a full liquid cooling assessment, our team can help you build a cooling approach that scales with your facility’s needs.
Let’s discuss what optimization strategy makes sense for you.