AI Data Center Power, Cooling and Water Calculator
Estimate AI rack power, grid draw, cooling duty and water use. Compare wet towers, air-cooled chillers and dry cooling with PUE, WUE and annual totals.
Estimate how AI rack power becomes grid demand, rejected heat and cooling water use. This AI Data Center Power, Cooling and Water Calculator supports early engineering studies, classroom exercises and discussions about the infrastructure needed for a proposed facility. It keeps electrical demand, cooling makeup and evaporation separate so that each result has a clear boundary.
Start with the number of powered racks, whole-rack electrical power and the mean electrical load fraction. The 120 kW default is an illustrative NVIDIA DGX GB rack figure, not a universal GPU-rack rating. Supermicro publishes 125–135 kW for its GB200 NVL72 configuration. Use the actual equipment specification or a measurement; GPU chip TDP and the sum of redundant PSU ratings are different quantities. Include networking and storage in the rack allowance, or use an equivalent rack count and power for the total IT load.
Choose a chiller with a wet cooling tower, an air-cooled chiller, or a compressor-free dry cooler. Enter the chiller COP, support-load fraction and electrical delivery efficiency. This data center power calculation derives grid draw and PUE from those assumptions. Set the mean load fraction to one for a full-load scenario. The PUE calculator result is a modeled operating ratio; it becomes an annual energy ratio only when those assumptions represent the assessment year.
The wet-tower calculation adds compressor heat to the cooling duty before estimating evaporation. Approximately 1.5 litres evaporate per kWh of latent heat transfer. Enter the latent-to-net heat ratio from tower performance data. Ratios above one are possible: hot, dry ambient air can supply sensible heat that drives extra evaporation beyond the net tower duty. Cycles of concentration determine the additional blowdown and drift budget. The results show tower makeup, evaporation, bleed and cooling site WUE separately. Makeup is water demand, whereas evaporation is the main local consumptive loss. Discharged blowdown may return to the watershed and must not automatically be counted as consumption.
Outdoor temperature and humidity provide a wet-bulb estimate and a simple heat-rejection temperature screen. A dry cooler must deliver coolant warmer than outdoor dry bulb plus its approach. The calculator flags a dry-cooling requirement that cannot be met and rejects chiller COP values at or above a conservative Carnot ceiling when positive temperature lift is required. Ambient inputs do not automatically predict COP, latent-to-net heat ratio or seasonal economizer hours; obtain those from plant performance data.
Use the charts to explore chiller efficiency and tower concentration cycles. Press ▶ to follow the schematic power and coolant flow; the motion is illustrative. For electricity-generation water, enter a local consumption factor per delivered kWh. A zero factor excludes that contribution and does not imply a water-free electricity supply.
This data center water usage calculator excludes humidification, cleaning, domestic water, construction water, heat recovery and evaporatively assisted air-cooled equipment. Annual totals assume constant representative conditions. It does not select chillers, establish utility connection capacity, assess local water permits or calculate tariffs. Confirm seasonal performance, redundancy and peak demand separately. Electrical and mechanical installation work belongs to qualified people.
How it is calculated
The calculation uses a constant mean operating point. IT power is . Support electricity is , and all of that heat is conservatively assigned to the equivalent cooling loop: . A chiller uses ; the dry-cooler option has no compressor. The grid meter supplies . PUE is grid energy divided by IT energy for the same period, following The Green Grid WP49 (2012). Distribution losses are rejected separately, so .
The net condenser/tower duty includes compressor input: . Water latent heat is approximated as 2430 kJ/kg near 37 °C (OpenStax, §1.5, Table 1.4 footnote), with density 1 kg/L. This gives 1.481 L/kWh of latent heat, approximately the 1.5 L/kWh rule of thumb. Multiply by the entered latent-to-net heat ratio and net tower duty to obtain evaporation. A ratio above one allows sensible heat from ambient air to supply additional evaporation. The signed sensible transfer is ; a negative value means heat gained from the air. This follows the heat-transfer interpretation in ASHRAE Handbook—HVAC Systems and Equipment (2020), chapter 40, §1. Net site heat rejection still equals grid input. The non-evaporative bleed budget is and makeup is , from water and dissolved-solids conservation. Drift is included in B. The cooling site WUE estimate is makeup divided by IT energy, consistent with the site-water boundary in The Green Grid WP35 (2011), pp.6–7. Other site water uses must be added for a complete measured facility WUE.
Equivalent freshwater-loop flow follows , with kJ/(kg·K), OpenStax §1.4, Table 1.3. Wet bulb uses Stull (2011), equation (1), with temperature in °C, humidity in percent inside the correlation, and inverse tangents in radians. The result is capped at dry bulb to remove a small supersaturation artifact of the empirical fit near 99% RH. Wet-tower ambient is wet bulb; dry heat rejection uses dry bulb. Add the entered approach for an indicative heat-sink temperature. Compare dry bulb plus approach against required supply temperature for dry-cooler feasibility only.
Electricity water is the entered consumptive factor times metered grid energy. Combined modeled water-use intensity is cooling makeup/IT energy plus PUE times that factor (WP35, equation 4). Evaporation plus electricity water is also computed separately as modeled consumption; it excludes bleed. The first-law balances are derived here; published reference cases test the PUE aggregation and tower salt balance.
Chiller COP is screened against OpenStax §4.5, equation (4.6): for positive lift, with absolute temperatures in K. The screening uses return-water temperature as a generous upper bound for , and ambient dry bulb (air cooling) or wet bulb (wet cooling) as a lower bound for . Finite exchanger approaches are omitted, making this a deliberately loose necessary limit. The error condition requires . With no positive lift this screen imposes no finite ceiling. Passing the screen does not predict an achievable COP; real equipment needs performance data. The sensitivity chart omits COP values at or above that ceiling.
Assumptions
- Rack power is whole-rack AC input, including internal conversion losses, CPUs, GPUs, memory and networking. External electrical efficiency must not count rack PSU losses twice. The editable 120 kW default is illustrative; NVIDIA and Supermicro configurations differ. Vendor information checked 25 October 2026.
- Mean electrical load fraction is not GPU utilization. Idle draw must be included in the mean. All non-compressor support loads are lumped into the support fraction; their heat enters the modeled loop. This is conservative if some reject heat directly outdoors.
- Electrical losses upstream of the IT/plant boundary reject heat separately. If those losses enter the same cooled space, include their additional cooling duty in a more detailed facility model.
- COP, electrical efficiency, support fraction and latent-to-net heat ratio stay constant for the selected run. COP 6, support fraction 0.04, latent-to-net heat ratio 0.8 and a 5 K approach are transparent scenario assumptions, not equipment guarantees or LBNL averages.
- Water-loop flow is an equivalent combined-duty flow. Real air and liquid circuits, coolant mixtures, CDUs and heat exchangers need separate selections. Water properties are constant; no glycol correction.
- Drift and blowdown share the dissolved-solids discharge budget. No leaks, overflow, recovery, reclaim credit, humidification, domestic or maintenance water are included. Zero tower makeup for air or dry cooling covers the modeled cooling process only.
- A zero electricity water factor means that upstream water is excluded. Use a locally justified consumptive-water factor; withdrawal factors and historical national averages are not interchangeable.
- Latent-to-net heat ratio is a tower-performance input, not a fraction capped at one. Hot, dry air can cool sensibly in the tower and drive evaporation whose latent heat exceeds the net facility duty. The permitted 0.1–10 input range is a screening range, not a universal physical bound.
Where it applies
For preliminary comparisons and education, not detailed plant selection or measured annual PUE certification. The ambient range is restricted to 5–45 °C and RH 0.10–0.99, inside the useful warm-weather part of Stull's near-sea-level fit. Its mean absolute wet-bulb error is below about 0.3 °C over the published validity range, with larger local errors possible. It is not a psychrometric sizing model at altitude.
A dry cooler can only meet the specified supply temperature when dry bulb plus approach does not exceed it. Passing this temperature screen does not establish heat-exchanger capacity, fan power, redundancy or cold-plate acceptability. A chiller can lift heat across a temperature difference; its COP must be entered for the actual supply and rejection conditions. The model does not derive a COP or latent-to-net heat ratio from ambient weather. For annual studies, run representative seasonal operating points and sum energy and water before dividing by annual IT energy.
COC must exceed one and must be supported by water chemistry and treatment. DOE FEMP's statement that going from three to six cycles reduces blowdown by 50% conflicts with its own balance: E/2 becomes E/5, a 60% reduction. The Illinois first worked table agrees with the 60% result; the 20% makeup reduction agrees in both sources. The calculator retains the conserved balance.
Local supply demand (makeup), consumptive evaporation and electricity-generation consumption have different boundaries. LBNL 2024 regional/national estimates and IEA Energy and AI (2025) provide context, not a site forecast. No 2026 capacity prices, tariffs, regulations or opinion polls enter the equations. Check utility, water and environmental requirements in force for the site. Installation and commissioning work belongs to appropriately qualified people.
References
- LBNL (2024), 2024 United States Data Center Energy Usage Report, especially cooling assumptions and regional electricity-water discussion. DOI: https://doi.org/10.71468/P1WC7Q ; https://eta-publications.lbl.gov/publications/2024-lbnl-data-center-energy-usage-report
- The Green Grid (2012), WP49: PUE—A Comprehensive Examination of the Metric, PUE definition and Figure 19 worked example, PDF p.69. https://datacenters.lbl.gov/sites/default/files/WP49-PUE%20A%20Comprehensive%20Examination%20of%20the%20Metric_v6.pdf
- The Green Grid (2011), WP35: Water Usage Effectiveness, equations (2)–(4) and water boundaries, PDF pp.6–7. https://www.thegreengrid.org/system/files/store/WUE_v1.pdf
- US DOE FEMP, Best Management Practice #10: Cooling Tower Management, water balance and concentration cycles. Blowdown-reduction discrepancy is explained in Validity. https://www.energy.gov/cmei/femp/best-management-practice-10-cooling-tower-management
- University of Illinois iCAP (17 March 2017), Jeremy Overmann's worked COC, blowdown and makeup table, evaporation 5,000 US gallons. https://icap.sustainability.illinois.edu/project-update/water-use-and-cycles-concentration-coc-cooling-tower
- Stull, R. (2011), Wet-Bulb Temperature from Relative Humidity and Air Temperature, JAMC 50, 2267–2269, equation (1). https://doi.org/10.1175/JAMC-D-11-0143.1
- OpenStax, University Physics Volume 2, §1.5 latent heat at 37 °C: https://openstax.org/books/university-physics-volume-2/pages/1-5-phase-changes ; §1.4 specific heat: https://openstax.org/books/university-physics-volume-2/pages/1-4-heat-transfer-specific-heat-and-calorimetry
- NVIDIA DGX GB Rack Scale Systems User Guide, Hardware: https://docs.nvidia.com/dgx/dgxgb200-user-guide/hardware.html ; Supermicro GB200 NVL72 datasheet: https://www.supermicro.com/datasheet/datasheet_SuperCluster_GB200_NVL72.pdf . Vendor examples checked 25 October 2026; verify the actual configuration.
- IEA (2025), Energy and AI, system-level context; no forecast is used as a calculator coefficient. https://www.iea.org/reports/energy-and-ai
- ASHRAE (2020), Handbook—HVAC Systems and Equipment, chapter 40 Cooling Towers, §1 Principle of Operation: sensible cooling of entering air can supply additional evaporation at the same net water-cooling load. https://handbook.ashrae.org/handbooks/S20/SI/S20_Ch40/S20_ch40_si.aspx
- OpenStax, University Physics Volume 2, §4.5 The Carnot Cycle, equation (4.6), ideal refrigerator COP. https://openstax.org/books/university-physics-volume-2/pages/4-5-the-carnot-cycle
Inputs
| Input | Symbol | Unit | Default |
|---|---|---|---|
| Number of powered racks | n_racks | 100 | |
| Full-load electrical power per rack Use whole-rack AC input including CPUs, memory, switches and PSU losses. NVIDIA lists about 120 kW for DGX GB; Supermicro specifies 125–135 kW for its GB200 NVL72. Confirm the actual configuration. | P_rack | kW | 120 |
| Mean rack power / full-load rack power Electrical load fraction, not GPU utilization. Idle power is included in the measured mean. For full-load sizing set this to 1. | f_load | 0.7 | |
| Operating hours in the assessment year Constant mean load and plant performance over these hours. Use separate seasonal runs for annual estimates. | h_run | h | 8760 |
| Cooling plant | plant | Chiller + wet cooling tower | |
| Chiller COP: cooling / compressor electricity Enter compressor COP at the actual ambient, coolant temperatures and load. Default 6 is illustrative; pumps and fans are separate. For positive lift, COP must stay below the conservative Carnot screen. Passing that screen does not establish achievable equipment performance. | COP_ch | 6 | |
| Fans and pumps power / IT power Include all non-compressor support loads in this fraction. Their heat is conservatively included in the cooling duty. Use the appropriate value for each plant. | f_aux | 0.04 | |
| Facility electrical delivery efficiency Aggregate efficiency from grid meter to IT and plant loads. Excludes PSU losses already included at the rack AC boundary. Electrical distribution heat is rejected separately. | eta_el | 0.96 | |
| Equivalent water-loop temperature rise Gives an equivalent freshwater flow for the combined cooling duty. A real facility may split air and liquid circuits. Not a cold-plate flow specification. | dT_loop | K | 10 |
| Outdoor dry-bulb temperature | T_air | degC | 30 |
| Outdoor relative humidity (fraction) 0.50 means 50%. Wet-bulb estimate uses Stull (2011), near sea-level pressure. Ambient conditions screen feasibility; they do not calculate COP or annual weather effects. | RH | 0.5 | |
| Heat-rejection approach above ambient Dry cooler: approach above dry bulb. Wet tower: approach above estimated wet bulb. A screening assumption, not a tower selection. | dT_app | K | 5 |
| Required facility coolant supply temperature Dry cooling requires supply at least dry bulb plus approach. For chillers, this is the evaporator-side supply, not the tower-water temperature. Verify equipment limits. | T_supply | degC | 35 |
| Tower latent-to-net heat ratio Latent evaporation heat / net tower duty. Illustrative default 0.8; use tower performance data for the actual air and water conditions. Ratios above 1 account for sensible heat supplied by hot, dry ambient air. A ratio of 1 is not an evaporation upper bound. | f_lat | 0.8 | |
| Tower cycles of concentration Dissolved-solids concentration in bleed divided by that in makeup. In this balance it also equals makeup flow / bleed flow. DOE notes many towers operate at 2–4 cycles; allowable cycles depend on water chemistry. Drift is lumped into the bleed budget. | COC | 4 | |
| Electricity supply water-consumption factor Enter a local consumptive-water factor per delivered grid kWh. Zero means excluded from this assessment, not that generation uses no water. Do not enter a withdrawal factor. | w_grid | L/kWh | 0 |
| Flow animation phase — press ▶ Illustrative power and coolant motion. Phase is not transit time; no design quantities depend on it. | flow_phase | 0.25 |
Results
With the default inputs above, the calc gives:
| Result | Value |
|---|---|
| Grid draw | 10.617 MW |
| Modeled PUE | 1.264 |
| Mean IT load | 8.4 MW |
| Cooling-loop duty | 8.736 MW |
| Net cooling-plant heat rejection | 10.192 MW |
| Equivalent water-loop flow | 208.7 L/s |
| Grid electricity / assessment year | 93.002 GWh |
| Cooling site WUE (makeup / IT) | 1.917 L/kWh |
| Tower makeup / assessment year | 141,087 m³ |
| Tower evaporation / assessment year | 105,816 m³ |
| Tower blowdown + drift / assessment year | 35,272 m³ |
| Estimated outdoor wet bulb | 22.3 °C |
| Ambient + heat-rejection approach | 27.3 °C |
| Dry-cooling temperature margin | 0 K |
| Electricity water: entered factor only | 0 m³ |
| Combined intensity: entered grid factor | 1.917 L/kWh |
| Evaporation + entered electricity water consumed | 105,816 m³ |
Checked against sources
Each case below was calculated by this calc and agrees with the value from its source (within the tolerance where one is shown).
The Green Grid Figure 19: whole-facility PUE
Source: The Green Grid WP49 (2012), PDF p.69, Figure 19 worked example: IT 15,500 MWh, chillers 2,200 MWh, electrical losses 2,300 MWh, total 20,000 MWh, published PUE 1.29. Mapped to 1,000 h with aggregate COP=15,500/2,200 and delivery efficiency=17,700/20,000. These map the independently stated component energies, not a fit to PUE. https://datacenters.lbl.gov/sites/default/files/WP49-PUE%20A%20Comprehensive%20Examination%20of%20the%20Metric_v6.pdf
Inputs: Number of powered racks = 155; Full-load electrical power per rack = 100 kW; Mean rack power / full-load rack power = 1; Operating hours in the assessment year = 1,000 h; Chiller COP: cooling / compressor electricity = 7.045; Fans and pumps power / IT power = 0; Facility electrical delivery efficiency = 0.885; the others as above.
| Result | Source | This calc |
|---|---|---|
| IT energy over the assessment year | 15,500 MWh | 15,500 MWh |
| Grid electricity / assessment year | 20 GWh | 20 GWh |
| Chiller compressor electricity | 2,200 kW | 2,200 kW |
| Modeled PUE | 1.29 ± 0.005 | 1.29 |
Illinois water-treatment example: three cycles
Source: University of Illinois iCAP, Jeremy Overmann water-treatment note, 17 March 2017, first worked table: 5,000 gal evaporation; at COC 3, makeup 7,500 gal and blowdown 2,500 gal. Normalized values 7,500/5,000=1.5 and 2,500/5,000=0.5 check the water budget independently of the heat model. https://icap.sustainability.illinois.edu/project-update/water-use-and-cycles-concentration-coc-cooling-tower
Inputs: Tower cycles of concentration = 3; the others as above.
| Result | Source | This calc |
|---|---|---|
| Actual tower makeup / evaporation | 1.5 | 1.5 |
| Actual tower bleed / evaporation | 0.5 | 0.5 |
Illinois water-treatment example: six cycles
Source: University of Illinois iCAP, 17 March 2017, first worked table: for the same 5,000 gal evaporation, COC 6 has 6,000 gal makeup and 1,000 gal blowdown. Normalize to evaporation. Also agrees with DOE FEMP: changing COC 3 to 6 saves 20% makeup, while blowdown falls by 60%. DOE's accompanying statement of 50% blowdown reduction does not match E/(C-1); the salt balance and Illinois table are retained. https://icap.sustainability.illinois.edu/project-update/water-use-and-cycles-concentration-coc-cooling-tower ; https://www.energy.gov/cmei/femp/best-management-practice-10-cooling-tower-management
Inputs: Tower cycles of concentration = 6; the others as above.
| Result | Source | This calc |
|---|---|---|
| Actual tower makeup / evaporation | 1.2 | 1.2 |
| Actual tower bleed / evaporation | 0.2 | 0.2 |







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