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How to Estimate the Power and Cooling Needs of a 24-MW Data Center

By Freedom251 Team · · 10 min read

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A “24-MW data center” is not a complete specification: 24 MW may describe the IT equipment load, the facility’s total electrical demand at the utility boundary, or a capacity target. Those meanings produce different power, cooling and water estimates. Define the measurement boundary first, then apply power-usage effectiveness (PUE), convert the IT load to heat, and model the cooling system under the site’s climate, rack-density and reliability requirements.

Start by defining what the 24 MW represents

Power calculations fail most often because a single number is used for different electrical boundaries. The U.S. Department of Energy (DOE) distinguishes peak IT demand at the IT-load boundary from peak total electric demand at the data-center boundary. Record the boundary, the time basis and the purpose of the number before doing any arithmetic.

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Interpretation of “24 MW” What it includes What you can calculate immediately
24 MW IT load Servers, storage, networking and other equipment measured at the IT connection point Total facility demand with an explicit PUE assumption; an initial IT heat-load conversion
24 MW total facility demand IT equipment plus cooling, power distribution, lighting, controls and other supporting infrastructure at the facility boundary IT load only after selecting a PUE that uses compatible boundaries
24 MW capacity target A planned electrical or utility capacity, not necessarily the operating load A design envelope; actual IT and facility demand still require a load profile and phase-in plan

Also label whether the value is a peak, an expected average, a contracted service capacity, a design load or an annual-average equivalent. Megawatts describe an instantaneous rate. Annual energy is measured over an interval, usually in megawatt-hours or kilowatt-hours, and cannot be substituted for peak demand.

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Convert a 24-MW IT load into total facility power

When 24 MW is the IT load, use:

Facility power = IT power × PUE

DOE FEMP defines PUE as the ratio of total annual facility energy to annual IT-equipment energy. The same relationship can be applied to power or to energy over a stated interval when the measurements use consistent boundaries.

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Assumed PUE Illustrative calculation for 24 MW IT Resulting total facility power Non-IT overhead represented by the calculation
1.2 24 MW × 1.2 28.8 MW 4.8 MW
1.4 24 MW × 1.4 33.6 MW 9.6 MW

These are scenarios, not forecasts or universal benchmarks. A measured PUE varies with climate, plant design, redundancy, utilization, controls and the period being reported. If the 24 MW is already total facility demand, do not multiply it by PUE again. Instead, with a compatible PUE assumption, estimate IT power as:

IT power = total facility power ÷ PUE

Assumed PUE Illustrative IT power when total facility demand is 24 MW
1.2 24 MW ÷ 1.2 = 20 MW
1.4 24 MW ÷ 1.4 ≈ 17.14 MW

Do not present either result as the facility’s actual IT load until the meter locations, peak-versus-average basis and included systems match the PUE definition.

Translate IT power into a first-pass cooling load

In steady operation, nearly all electricity consumed by IT equipment becomes heat. A 24-MW IT load therefore corresponds to approximately 24 MW of IT heat before adding losses from transformers and power electronics, lighting, people and other facility loads. The conversion is:

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  • 24 MW = 24,000 kW.
  • Using 1 kW ≈ 3,412 Btu/h, 24 MW is approximately 81.9 million Btu/h.
  • Using 1 refrigeration ton ≈ 3.51685 kW, 24 MW is approximately 6,824 refrigeration tons.

The 6,824-ton figure is an equivalent heat-load conversion, not a final chiller, air-handler or cooling-tower order. A complete design must add every heat source within the selected cooling boundary and apply the design condition, redundancy strategy and part-load requirements. If 24 MW means total facility demand, the IT heat is lower, but it cannot be determined without the IT fraction or a compatible PUE.

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For example, if a 24-MW total-facility scenario used PUE 1.2, the illustrative IT load would be 20 MW, or about 68.2 million Btu/h and 5,687 refrigeration tons. At PUE 1.4, the illustrative IT load would be about 17.14 MW, or about 58.5 million Btu/h and 4,875 tons. Those values inherit the assumptions and are not measured characteristics of a particular site.

Estimate the cooling plant’s electrical demand

A useful first-pass relationship is:

Cooling-system power = cooling capacity (tons) × cooling-system efficiency (kW/ton)

DOE FEMP’s 2024 design guide identifies the ratio of average cooling-system power in kW to average data-center cooling load in tons as the common HVAC efficiency metric. It lists 0.8 kW/ton as a good-practice benchmark and 0.6 kW/ton as a better benchmark. These are reference points for the cooling-system boundary, not guaranteed performance for every climate or operating condition.

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Reference efficiency Illustrative calculation for 6,824 tons Cooling-system electrical power
0.8 kW/ton (good-practice benchmark) 6,824 × 0.8 kW/ton Approximately 5.46 MW
0.6 kW/ton (better benchmark) 6,824 × 0.6 kW/ton Approximately 4.09 MW

The calculation is illustrative because actual input includes chillers or direct-expansion equipment, condenser or dry coolers, cooling towers, pumps, fans, controls and heat-rejection auxiliaries according to the chosen metric boundary. Efficiency changes with outdoor temperature, entering-water temperature, load fraction, staging and control sequences. A value calculated from tons should not be added to a PUE-derived facility total if the PUE already includes that cooling electricity; doing so double-counts the same overhead.

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Choose a cooling architecture from site conditions, not MW alone

A 24-MW campus total does not establish rack density or dictate one topology. Separate the campus total from the heat density of individual racks, rows and components, then compare designs against the following criteria.

Approach How heat moves Questions that determine suitability
Conventional air cooling Computer-room air-conditioning or air-handling equipment circulates air across IT equipment and transfers heat to a chilled-water, refrigerant or other heat-rejection loop. Can server inlet temperatures, airflow paths and expected rack densities be maintained without excessive fan energy? Is there room for containment, distribution and maintenance access?
Chilled-water and cooling-tower systems Chillers remove heat from a water loop; condenser water and towers reject heat outdoors, often using evaporation. What are the local wet-bulb conditions, water availability, treatment requirements, blowdown limits and year-round operating costs? How will tower and chiller redundancy be maintained?
Economizer operation Favorable outdoor air or outdoor-water conditions provide cooling with less mechanical refrigeration for eligible periods. How many annual hours support economizer operation at the site’s dry-bulb and wet-bulb conditions? Do filtration, humidity and equipment limits permit the operating mode?
Direct liquid cooling A circulating liquid loop collects heat at cold plates or other components and transfers it to facility heat-rejection equipment. What rack and component densities are expected, including growth? Are coolant temperatures, materials, leak detection, service procedures and technician skills compatible with the IT equipment?

Rack density and growth

List design heat density by rack and by room, not just the campus MW figure. A mixed deployment may contain conventional air-cooled racks alongside higher-density liquid-cooled systems. Include the planned growth rate, replacement cycle and any short-term training or test loads so that the cooling loop is not sized only for today’s average.

Climate and thermal limits

Use the site’s design dry-bulb and wet-bulb conditions, not an annual average. Confirm server inlet-temperature and coolant-temperature limits from the equipment requirements and applicable ASHRAE guidance. A design that works at average weather may fail at the coincident hot or humid condition used for reliability analysis.

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Reliability and maintainability

Document the required redundancy, maintenance windows, controls architecture and operator capability. Chillers, pumps, fans, towers, heat exchangers, valves, electrical feeds and controls all need a defined failure and maintenance response. A nominal cooling capacity that cannot be maintained while a component is offline is not the usable capacity for a resilient facility.

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Water and heat rejection

Evaporative towers can reduce heat-rejection temperature and electrical demand, but they consume makeup water and produce blowdown. Water quality, treatment, discharge permits and drought restrictions can change the preferred design. Dry coolers or closed-loop alternatives may reduce site water use while changing electrical performance, footprint or climate suitability.

Estimate water use with WUE, not with MW alone

There is no defensible gallons-per-day answer for a hypothetical 24-MW facility without a cooling topology, heat load, climate and operating profile. DOE FEMP defines water usage effectiveness (WUE) as:

WUE = annual site water use in liters ÷ annual IT-equipment energy in kWh

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WUE is a reporting metric, not a water-connection sizing method by itself. To estimate actual demand, model makeup water, tower evaporation, blowdown, water treatment, humidification and any other site flows on a stated boundary. Use the same annual IT-energy denominator and specify whether reclaimed water, potable water or another source is included.

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Build a measurement and validation plan

A credible estimate combines a one-line boundary diagram, compatible meters and a load model. The following sequence keeps electrical, thermal and water calculations aligned.

  1. Draw the boundaries. Mark the IT-equipment connection point, facility electrical boundary, cooling-system boundary and water boundary. Identify which transformers, UPS systems, generators, switchgear, pumps, fans, controls and auxiliary buildings are inside each one.
  2. Measure IT demand. Collect kW or MW at the IT connection point by phase and operating scenario. Separate normal operation, commissioning, maintenance and growth-phase loads.
  3. Measure total facility demand. Record demand at the facility boundary, including supporting infrastructure. Use the same time interval and peak definition used for the IT data.
  4. Separate peak, average and annual energy. Report peak demand, expected average demand, annual energy and phase-in assumptions as different values. Do not use an annual average to size a peak electrical or cooling path.
  5. Characterize the cooling plant. Record cooling capacity and electrical input for chillers or other cooling equipment, heat-rejection devices, pumps, fans and controls at design and part-load conditions. Capture entering and leaving temperatures and control stages where the instrumentation supports them.
  6. Complete the heat balance. Map air and liquid loops, rack-level design densities, non-IT heat sources and the redundancy state used for each calculation. Verify that the equivalent tons are consistent with the selected design condition.
  7. Measure water flows when applicable. Meter makeup, blowdown, treatment and other site flows. Calculate WUE only after stating the water and IT-energy boundaries and the reporting period.
  8. Validate against climate and equipment limits. Apply the site design dry-bulb and wet-bulb conditions, server inlet limits, coolant limits and economizer assumptions. Reconcile the model with commissioning and operating data as the facility ramps up.

A properly rated three-phase meter or power-quality analyzer may be part of an engineering measurement plan, but a 24-MW facility requires engineered instrumentation, protection coordination and professional installation. Consumer plug-in meters are not suitable for this scale or voltage environment.

Worked planning scenarios

Scenario A: 24 MW is the IT design load

  1. Set IT power to 24 MW at the defined IT boundary.
  2. Select a planning PUE assumption and label it. At PUE 1.2, the illustrative facility demand is 28.8 MW; at PUE 1.4, it is 33.6 MW.
  3. Convert the IT load to approximately 81.9 million Btu/h or 6,824 refrigeration tons before adding non-IT heat sources.
  4. Apply the cooling-system efficiency assumption only to the cooling boundary. The 0.8 kW/ton benchmark produces about 5.46 MW for 6,824 tons; the 0.6 kW/ton benchmark produces about 4.09 MW.
  5. Use the resulting values as model inputs, then test peak weather, part load, redundancy and growth. Do not add the cooling estimate to the PUE-derived total unless the PUE calculation excluded that cooling equipment.

Scenario B: 24 MW is the total facility demand

  1. Keep total facility demand at 24 MW; do not multiply it by PUE.
  2. With a compatible PUE assumption of 1.2, the illustrative IT load is 20 MW. With PUE 1.4, it is approximately 17.14 MW.
  3. Convert only that estimated IT fraction to an initial IT heat load, then add other heat sources inside the cooling boundary.
  4. Confirm the result with facility and IT meters before selecting equipment or utility capacity.

If the 24 MW is a capacity target rather than an operating value, model each deployment phase and reserve margin separately. A utility contract or switchgear rating does not prove that the data hall will consume 24 MW continuously.

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Common errors and how to correct them

  • Multiplying every 24-MW figure by PUE. Correction: multiply only when 24 MW is IT power and the PUE boundaries match.
  • Mixing peak and average values. Correction: label each value and use coincident design conditions for electrical and cooling sizing.
  • Treating 6,824 tons as an equipment order. Correction: add non-IT heat, account for redundancy and verify the design condition before choosing chillers, towers or air handlers.
  • Double-counting cooling electricity. Correction: either use a PUE-inclusive facility total or add separately modeled cooling loads to an IT-only total, never both.
  • Assuming a benchmark is a guarantee. Correction: treat 0.8 and 0.6 kW/ton as DOE reference points and test actual plant performance across weather and part-load conditions.
  • Inferring water demand from MW alone. Correction: model evaporation, blowdown, makeup, treatment, climate and economizer operation, then report WUE on a stated boundary.
  • Using a consumer meter for a campus-scale estimate. Correction: specify engineered three-phase instrumentation and professional installation appropriate to the facility’s electrical system.
  • Ignoring growth and maintenance states. Correction: model rack-density increases, phased energization and the required capacity while equipment is offline.

Planning checklist

  • State whether 24 MW is IT demand, total facility demand or a capacity target.
  • Identify the electrical and thermal measurement boundaries on a one-line diagram.
  • Label peak, average, contracted, design and annual-energy values separately.
  • Choose and document a PUE assumption only when the boundaries are compatible.
  • Convert the IT load to heat, then add non-IT sources inside the cooling boundary.
  • Use rack-level density, climate design conditions and equipment temperature limits to compare cooling architectures.
  • Apply kW/ton benchmarks to the cooling boundary and avoid PUE double counting.
  • Model water makeup, evaporation, blowdown and WUE if evaporative cooling is considered.
  • Validate assumptions with engineered meters, commissioning data and the operating load profile.

What the estimate can and cannot tell you

The defensible first-pass result is conditional: a 24-MW IT load implies about 24 MW of IT heat, or roughly 81.9 million Btu/h and 6,824 refrigeration tons, while a stated PUE converts that IT value into an illustrative facility demand. Cooling-plant electricity then depends on the selected kW/ton performance and operating conditions. Water demand remains site-specific. Final utility, chiller, heat-rejection, piping and distribution sizing requires the location, load profile, rack configuration, redundancy scheme, equipment limits and defined measurement boundaries.

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