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AI is making data centers denser and more power-hungry just as heat waves make it harder to remove heat and keep electricity flowing. For developers and construction teams, that turns a data-center project into a coordinated design problem: site, grid connection, power equipment, cooling, water, controls and operations must work together under peak conditions—not merely meet an annual energy target.
Why AI changes the construction problem
AI does not simply add more servers to a conventional data center. GPU-heavy training, high-performance computing and large-scale inference concentrate substantial electrical load in comparatively small areas. Nearly all electricity used by IT equipment ultimately becomes heat, so higher rack power density means more heat must be captured and transported before it spreads into the room.
The International Energy Agency (IEA) reports that global data-center electricity demand grew 17% in 2025, while electricity use by AI-focused data centers rose 50%. It says power density for AI servers increased roughly 11-fold between 2020 and 2025. The IEA projects overall data-center consumption to double by 2030 and AI-focused consumption to triple, but those are forecasts, not guaranteed outcomes: adoption, efficiency gains and whether announced projects are completed all matter. IEA, Key Questions on Energy and AI
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That variability is a design consideration as well as a utility-planning one. Training and model use can create large, rapid power swings. ASHRAE’s 2026 AI data-center framework describes AI facilities as having extreme and rapidly changing power and thermal demands, and recommends integrated electrical and cooling design rather than treating them as independent packages. ASHRAE integrated design principles
What a heat wave does to a facility
Heat rejection depends on the temperature difference between the heat-transfer system and its surroundings. When outside air is hotter, air-cooled condensers and dry coolers have less ability to reject heat. Direct-expansion equipment can face higher refrigerant pressure; chillers, compressors and fans may work harder, while the cooling system’s available capacity shrinks. Components may reach protective operating limits. Uptime Institute details these effects for condensers, dry coolers and direct-expansion systems. Uptime Institute, Assessing Data Center Operating Headroom in Extreme Weather
- Outdoor temperatures rise. Heat-rejection equipment loses performance relative to its conditions on a cooler day.
- Mechanical and electrical loads climb. Fans, pumps, chillers and compressors may consume more power to maintain cooling.
- Thermal and power reserve narrows. The system has less margin if a component fails or demand changes.
- Other equipment faces the same weather. Transformers, UPS systems and generators can also be affected by high ambient temperatures; actual limits depend on equipment and installation.
- Operators may need to intervene. Responses can include workload throttling, using water-assisted heat rejection within operating limits, raising setpoints where safe, or shedding noncritical loads.
The practical measure is not a generic maximum outdoor temperature but operating headroom: how much capacity remains at the forecast conditions, with the facility’s actual redundancy and equipment limits. Uptime Institute recommends response plans and testing how quickly temperatures rise after partial or complete cooling loss. A design that is adequate at a nominal design-day condition may have little margin during a hotter event or a simultaneous component outage.
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Annual energy is not the same as peak capacity
Four terms clarify why an annual electricity total does not establish whether a campus can ride through a hot afternoon:
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- Energy is electricity consumed over a period, such as a year.
- Power is the instantaneous rate of electricity use.
- Capacity is whether the facility and grid can deliver the required power at a particular time.
- Reliability is whether service continues through equipment failure or a grid disturbance.
During a heat wave, data-center cooling loads can peak at the same time as residential air-conditioning demand. Transmission constraints, drought, wildfire or other regional disruptions can further limit supply. A campus can have an annual procurement plan and still encounter a local connection, transformer or power-quality bottleneck. The IEA identifies grid connections, transformers, power electronics, chips and other infrastructure as constraints on data-center expansion. IEA, Key Questions on Energy and AI
Scale matters to the construction plan: the IEA says traditional data centers generally use around 10–25 MW, while hyperscale AI facilities can exceed 100 MW. IEA, Artificial Intelligence In the United States, estimates cited by the Department of Energy from Lawrence Berkeley National Laboratory put data centers at a modeled 9.5% to 15.3% of national electricity use by the end of the decade, with 11.8% as the midpoint estimate. That is a scenario range, not a settled forecast. U.S. Department of Energy, Data Center Resource Hub
Cooling choices shift the trade-offs
Liquid cooling can move heat away from dense chips more effectively than relying on room air alone, but it does not make heat disappear. In a direct-to-chip system, the path is chip to coolant, facility loop, heat exchanger or heat-rejection equipment, and finally the atmosphere. The outdoor heat-rejection step remains exposed to hot weather and the site’s water and power constraints.
| Approach | Where it can fit | What heat and construction planning must account for |
|---|---|---|
| Air cooling | Lower- to moderate-density racks and established facilities | Familiar equipment and maintenance, but rising outdoor temperatures can reduce headroom; more fan and chiller power may be required. Highest AI rack densities may need supplemental cooling. |
| Chilled water and cooling towers | Large facilities needing mature, scalable cooling systems | Cooling towers can reject heat efficiently, but require water, treatment and dependable pumps and controls. Drought and hot-weather performance need site-specific planning. |
| Direct-to-chip liquid cooling | New high-density AI deployments and suitable retrofits | Captures heat near GPUs or CPUs and can reduce room-airflow needs. Adds facility plumbing, pumps, manifolds, heat exchangers, leak detection and coolant-quality requirements. |
| Rear-door heat exchangers | Mixed-density or transitional environments | Can capture rack heat with less disruption than a full direct-to-chip conversion, but the building still needs a complete heat-rejection design. |
| Dry coolers | Sites seeking to limit cooling-water use | Use ambient air for heat rejection, but performance is less favorable as outside temperatures rise. Higher-temperature liquid loops can help; extreme heat may still require assistance. |
| Hybrid dry and adiabatic systems | Hot climates with occasional extreme conditions | Can add heat-rejection capacity when dry operation is insufficient, but uses water during the hottest periods—the same times water systems may be stressed. |
ASHRAE’s 2026 framework recommends liquid-cooling infrastructure for AI facilities where rack densities commonly exceed approximately 50–120 kW per rack. That is guidance, not a universal threshold: the appropriate design depends on workload, equipment and site conditions. The same framework discusses higher fluid inlet temperatures that can make dry-cooler architectures more practical for newer GPU platforms, while noting that adiabatic assistance may still be needed during extreme heat. ASHRAE, Energy and Thermal Efficiency ASHRAE, Integrated Design Principles
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Water-free at the cooling plant does not mean impact-free
Evaporative cooling rejects heat by evaporating water. It can be effective, but that water is consumed rather than simply withdrawn and returned unchanged. Dry cooling generally uses little or no water for heat rejection, but can lose effectiveness in extreme heat or require more electricity. A closed-loop direct-to-chip circuit recirculates coolant, yet a site may still consume water elsewhere, including in other cooling equipment or indirectly through electricity generation.
Water accounting needs clear boundaries. Withdrawal is water taken from a source; consumption is the portion not returned promptly to that source. On-site cooling use differs from water used to produce electricity. Freshwater, reclaimed water and recycled water are not interchangeable from a watershed perspective, and a site’s water-use efficiency does not by itself show the local impact.
A facility may report a favorable site-level water-use effectiveness (WUE) while still contributing to water stress through its electricity supply chain or by operating in a drought-prone watershed. The Bank of America Institute’s discussion of data-center construction highlights the importance of these system boundaries. Bank of America Institute, Data Center Construction
Google says its cooling decisions balance energy efficiency, carbon-free energy availability and responsibly sourced water, including alternatives to freshwater. Its 2026 environmental report says water-stewardship projects replenished approximately 7.7 billion gallons in 2025, equivalent to about 78% of its 2025 freshwater consumption. These are company-reported, company-wide figures; they do not establish that every facility is water-neutral or that replenishment occurs in the same watershed as consumption. Google 2026 Environmental Report Google data-center sustainability
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Raising the thermostat is a site-specific decision
Warmer room setpoints can reduce cooling energy in some facilities, but they also reduce the buffer available if outside temperatures rise further or cooling performance deteriorates. There is no single operating temperature suitable for every data center. The decision depends on equipment ratings, expected weather, cooling headroom, redundancy and how quickly temperatures rise after a failure.
ASHRAE guidance distinguishes recommended operating conditions from allowable equipment ranges. Equipment that can operate above a recommended range is not necessarily intended to run there for long periods without consequences for reliability or service life. ASHRAE Handbook, Data Center Climate Control ASHRAE, Operating Temperature of Data Centers
Reliability depends on shared failure conditions
Redundancy is less protective when supposedly independent systems share the same environmental exposure. A heat wave can stress multiple cooling trains, the grid, backup equipment and water supply at once. Relevant failure modes include compressor or condenser trips, cooling-tower water shortages, pump and valve failures, blocked filters, fouled heat exchangers, high refrigerant pressure, liquid-cooling leaks, transformer overheating, UPS derating, generator derating or fuel problems, and utility voltage disturbances.
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What operators and project teams can do
Before a heat wave
- Model cooling capacity at forecast extreme temperatures, not only at a typical design condition; verify redundancy at those conditions.
- Inspect filters, pumps, cooling towers, heat exchangers and coolant loops, and confirm water availability and contingency supply.
- Check operating limits for generators, UPS systems and transformers, and confirm fuel arrangements.
- Pre-cool during cooler hours where the building and controls permit it, while measuring how quickly the facility warms if cooling is reduced or lost.
- Test workload migration, graceful degradation, utility coordination and demand-response procedures; define thresholds for throttling noncritical work.
During a heat wave
- Monitor server inlet temperatures, coolant supply and return temperatures, flow, pressure, humidity and power quality.
- Preserve reserve cooling and electrical capacity, and use workload-aware power caps rather than indiscriminate shutdowns.
- Move flexible AI work to another region only where latency, data-governance, network, GPU availability and contractual requirements permit—and where the destination is not subject to the same constraints.
- Pause or defer nonurgent training when needed. Use adiabatic assistance only within defined water and operating limits.
- Follow validated procedures for control changes, and maintain communication with utilities and customers.
After a heat wave
- Review alarms, thermal excursions and near misses; check coolant condition, leaks, corrosion and mechanical wear.
- Compare actual power, temperatures, PUE and WUE with the operating model, then update headroom calculations and emergency procedures.
- Use the event data to revise commissioning baselines and predictive-maintenance plans.
ASHRAE recommends real-time telemetry, predictive maintenance, documented procedures and human oversight of AI-driven facility controls. ASHRAE, Operations and Maintenance
Construction decisions start with the site and the supply chain
Cheap land and tax incentives do not guarantee a viable campus. Site selection should test climate, resource and infrastructure constraints together:
- Historical and projected extreme heat, including wet-bulb conditions.
- Water stress, drought restrictions and access to reclaimed water.
- Grid capacity, interconnection timelines, transmission congestion and local marginal emissions.
- Exposure to wildfire, flood, hurricane and winter-weather events.
- Availability of transformers, switchgear, cooling equipment, generators, spare parts and skilled service personnel.
- Fiber connectivity, permitting, community impacts and competition for the same water, generation or transformer capacity.
Interconnection queues and long-lead electrical equipment can shape a project schedule as much as the server procurement. Building a larger campus does not solve a shortage of transmission capacity, water permits or equipment. Construction planning should therefore connect utility studies, equipment procurement, mechanical design, commissioning and operational contingencies early rather than treating cooling as a late package selection.
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For high-density builds, ASHRAE recommends designing electrical and cooling systems together. That includes considering liquid-cooling compatibility, the facility loop and ultimate heat rejection, power distribution, storage and controls as one coordinated system. Its 2026 framework also addresses resilient power distribution and backup-power design. ASHRAE, Resilient Design
Measure more than one efficiency metric
No single facility metric captures climate resilience. PUE (power usage effectiveness) compares facility energy with IT energy; WUE relates water use to IT energy; CUE relates carbon emissions to IT energy; WUI adds local water-stress context. IT utilization indicates whether purchased capacity performs useful work, while thermal headroom shows remaining margin before temperature or equipment limits are reached. ASHRAE’s framework recommends tracking resource-effectiveness measures together. ASHRAE, Energy and Thermal Efficiency
Corporate environmental numbers also need their boundaries stated. Google reported that data-center electricity demand rose 37% year over year in 2025 while operational emissions fell 2%; it also said it matched 100% of electricity consumption with renewable-energy purchases for the ninth consecutive year. Those company-reported figures describe annual accounting and procurement results. Annual matching does not mean each hour of operation was physically supplied by renewable generation, nor do operational emissions alone represent the full supply chain. Google 2026 Environmental Report
The design test is resilience at the hottest hour
AI growth and extreme heat create a compound infrastructure challenge: more concentrated computing load produces more heat, while high ambient temperatures make heat rejection harder and grid demand tighter. Liquid cooling, dry coolers, storage, workload flexibility and reclaimed water can help, but each shifts costs and risks. For a construction project, the decisive question is whether the complete site—utility connection, power systems, cooling plant, water strategy and controls—retains sufficient operating margin when the weather, workload and grid are all unfavorable at once.
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