UII UPDATE 517 | AUGUST 2026
Weather extremes have always shaped data center design and equipment choices. Cooling systems, generators and electrical infrastructure are typically specified according to the assumed design day conditions, including the upper and lower temperature boundaries the infrastructure needs to withstand. Design day conditions are informed by at least 20 years of historical climate data. As the climate changes, however, extreme temperatures may become more frequent, increasing the likelihood of new records exceeding design conditions.
In many regions around the world, heat waves are becoming longer and winter storms more disruptive. At the same time, electrical utilities are operating under increasing strain as AI drives unprecedented demand for power, exacerbating weather-related issues. These trends are forcing operators to revisit their infrastructure resiliency.
For most existing data center facilities, major equipment upgrades are not practical due to operational constraints and cost considerations. Rather than asking whether a facility was designed for new temperature extremes, the question is how much operating headroom remains when environmental conditions approach or exceed those limits. Operating headroom is the remaining performance margin between normal operating conditions and the point at which critical infrastructure reaches its functional limits. Continuous commissioning and additional practices can help facility operators to better prepare for extreme temperature events.
The key to climate-resiliency planning is understanding how systems perform before extreme weather events occur. Measuring the performance of existing infrastructure under normal operating conditions will help predict performance in extreme weather and to identify where additional measures are likely needed. Facilities that continuously monitor available cooling, electrical and operational margins will be better prepared to maintain availability in the event of extreme weather.
It is essential to compare the facility's design day condition assumptions with the latest climatic data. Updated ASHRAE climatic design data, regional climate assessments and weather-risk analyses can help operators compare today's conditions with the original design assumptions. The data can also identify where cooling and electrical infrastructure may have less reserve capacity than needed.
Importantly, many facilities commission cooling equipment under moderate outdoor conditions — and then extrapolate equipment data to determine whether system performance specifications will be met during heat waves or severe cold. Because equipment capacity varies with ambient conditions, and overall cooling system capacity may deteriorate over time, monitoring equipment performance relative to the IT load is essential. This calls for continuous commissioning in which design day capacity of power and cooling systems is regularly recalculated based on recent power and cooling system performance.
Figure 1 shows why undetected heat rejection underperformance can lead to risk creep. Capacity remains flat and close to design capacity across the moderate temperature range where commissioning typically occurs, but declines toward both temperature extremes. The gap between assumed and actual capacity is a margin that operators may not realize they have lost.
Figure 1 Capacity loss with a direct expansion (DX) system

Monitoring cooling capacity, compressor loading, condenser performance, electrical demand, and approach temperatures during progressively hotter and colder weather provides a clearer picture of available operating margin. It also helps identify degradation caused by fouled heat exchangers, dirty condenser coils, aging compressors or declining system efficiency before they become operational problems. Equipment operating without alarms might hide loss of capacity.
During heat waves, air-cooled condensers, dry coolers and direct expansion (DX) systems lose cooling capacity as outdoor temperatures rise. Refrigerant head pressures increase, condenser efficiency declines and systems may eventually reach their high-pressure operating limits. Even before protective shutdowns occur, available cooling capacity decreases.
Some air-cooled chillers and DX equipment cannot start below minimum operating temperatures without low-ambient operating kits. Diesel fuel becomes more viscous as temperatures fall and may begin to gel, restricting fuel flow and reducing generator output. Jacket-water heaters, block heaters, and protected coolant systems are essential to ensure generators start and accept load during freezing conditions. The objective is to determine where these limitations occur and how much operating margin remains before they become critical.
Extreme weather preparation often focuses on cooling systems, but electrical infrastructure deserves equal attention. High temperatures place additional stress on transformers, switchgear and distribution equipment, while simultaneously increasing electrical loading. Operators should verify transformer condition, inspect cooling fans, review oil analysis where appropriate and confirm that distribution equipment is operating normally before seasonal peak demand arrives.
Backup power generation also requires more than a routine start test. Generator output changes with ambient conditions. High temperatures reduce engine cooling effectiveness, decrease combustion air density and increase alternator temperatures, all of which reduce available capacity. Cold temperatures can delay engine starting and reduce fuel flow if winter fuel preparation has been neglected. Operators should understand these seasonal derating effects rather than assume nameplate capacity is always available.
Fuel management is equally important. Before summer and winter weather events, operators should verify fuel inventory and quality, confirm cold-weather additives where necessary and ensure heating systems supporting generators remain operational. Battery systems also require attention for their thermal management during extreme temperature weather events. Batteries are temperature-sensitive: high temperatures accelerate degradation, while low temperatures reduce available capacity.
Monitoring weather forecasts is standard practice, but what distinguishes leading operators is how they respond to that information. Utilities increasingly use high-resolution forecasting to anticipate localized heat waves, winter storms, wildfire conditions, and shifts in electricity demand several days in advance. Data center operators can use the same information to prepare facilities before environmental conditions begin affecting equipment.
Rather than simply noting an approaching heat wave or cold front, operators should establish predefined response plans. A forecast should trigger actions, such as:
The objective is to enter the weather event with maximum operating flexibility instead of discovering equipment limitations after conditions have deteriorated.
Capacity redundancy is one of the defining characteristics of mission-critical data centers and provides an additional cushion against extreme temperatures. Under normal operating mode, taking redundant equipment offline for planned maintenance is routine without any impact to facility capacity. But ahead of an approaching heat wave or severe winter event, operators may postpone (or bring forward if time allows) noncritical maintenance jobs, ensuring that cooling units, generators, and electrical paths remain available should ambient temperatures approach design day conditions.
This does not mean maintenance should always be delayed. Equipment with known defects may present a greater risk if left in service. Instead, operators should evaluate maintenance decisions within the context of expected environmental conditions. Redundancy should also be verified, not assumed. A standby cooling unit with fouled coils, a generator with questionable fuel quality or a transformer with unresolved alarms should not be considered available capacity until its condition has been confirmed.
Extreme weather does not always require additional equipment or emergency measures. In many cases, operators can improve resiliency by making better use of existing capacity. One example is pre-cooling. Before a forecast heat wave, some operators reduce building temperatures during cooler nighttime hours when cooling systems operate more efficiently. This creates additional thermal margin that allows temperatures to rise gradually during the hottest part of the afternoon while remaining within acceptable operating limits.
Figure 2 shows pre-cooling conceptually: starting from a lower nighttime setpoint it increases the margin below the critical limit when the facility reaches peak heat, compared with normal operation. Actual margins will vary by facility.
Figure 2 Building up a thermal buffer with nighttime pre-cooling

This strategy does not increase installed cooling capacity. Instead, it uses the thermal inertia of the building and cooling system to reduce stress during relatively short periods of peak cooling demand. However, this strategy should only be used when operators understand how quickly their facility gains heat. Rate-of-rise testing performed during commissioning, or controlled operational exercises conducted later, can help determine how rapidly temperatures increase following partial or complete cooling loss. It also shows how much time operators have to respond before equipment approaches critical temperatures.
Some operators may be tempted to raise server inlet temperatures during extreme heat to reduce cooling energy and lessen demand on the electrical grid. Although this can lower power consumption, it also reduces the thermal buffer available if cooling performance deteriorates later in the day. The appropriate strategy depends on expected weather conditions, equipment condition and available cooling headroom. There is no single operating temperature that is appropriate for every situation.
Mechanical equipment often receives the most attention before extreme weather arrives, yet control systems frequently determine whether that equipment performs as intended. Economizers are a good example. Air-side economizers reduce cooling energy under favorable outdoor conditions, but they may also introduce additional operating risks during extreme weather due to their complexity. Dampers, actuators, freeze protection devices and control sequences should all be verified before seasonal temperature extremes. Failures in freeze protection can allow coils to freeze and rupture, while malfunctioning dampers may introduce excessive outside air during severe weather.
These failures are often caused by control logic issues or overridden safety functions rather than mechanical deficiencies. Critical protective devices should therefore be capable of operating independently when necessary. Safety functions that can be overridden through building management system commands may not provide the intended protection during abnormal conditions. Control systems should be tested with the same rigor as mechanical equipment. Low-load facilities require particular attention during winter operation. Newly commissioned or partially occupied data centers may not generate sufficient internal heat to maintain stable temperature and humidity, increasing the risk of freezing or poor humidity control. Supplemental heating or reheat systems may therefore become necessary.
Extreme weather preparedness should be part of routine operations, not an emergency exercise. Before forecast heat waves or cold events, operators should review weather and grid conditions, compare forecast temperatures with equipment limits, coordinate with utilities and fuel suppliers, and confirm that critical systems are ready.
Table 1 How to prepare for extreme weather

Extreme weather is no longer an occasional challenge, but a core consideration of maintenance and operations practices. In response, a growing number of operators will move beyond viewing commissioning as a one-time exercise, but instead will continuously monitor available operating headroom across cooling, electrical and backup power systems. Integrating updated climate data, weather forecasting, equipment performance trends and grid conditions into routine operations allows facilities to anticipate risk rather than simply respond to failures. While capacity redundancy remains important in protecting facilities against extreme ambient conditions, it is only valuable if operators know its true capability under extreme weather conditions.