Estimate the CO₂, water usage, and pollutants produced by a data center's power draw based on IT load, cooling/overhead efficiency (PUE), runtime, and the carbon intensity of your electricity grid source.
⚙️ Inputs
Actual draw of servers/storage/network — not including cooling overhead.
Total hours the load runs at the power level above.
Total facility draw = IT load × PUE1.50
1.0 = no overhead (impossible in practice). Industry average is ~1.5–1.6; efficient hyperscale facilities reach ~1.1–1.2.
Common in modern hyperscale facilities — balances energy and water use.
Blended national average across all US generation sources.
📊 Baseline Results
1.39metric tons CO₂
from 3,600 kWh at 386 g CO₂/kWh
IT energy consumed2,400 kWh
Total facility energy (incl. overhead)3,600 kWh
Overhead energy (cooling, power loss, etc.)1,200 kWh
Estimated water consumption (cooling)3,240 L (855.9 gal)
Pollutant
Amount
🌱 Emissions Reduction Measures
Model efficiency upgrades and clean energy to see how much pollution they'd avoid, compared to the baseline above.
0%
Consolidating workloads, virtualization, and retiring idle ("zombie") servers commonly cuts effective IT energy use by 10–30%, more in badly under-utilized environments.
📈 Estimate from server utilization
1.50
Current baseline PUE: 1.50. Free/economizer cooling, hot/cold aisle containment, and liquid cooling can bring PUE down toward 1.1–1.2.
0%
Share of total facility energy supplied directly by on-site solar.
🔆 Estimate coverage from a solar array
0%
Share of the remaining grid electricity (after solar) sourced via a renewable power purchase agreement or certificates.
0%
Share of the remaining grid electricity (after solar + PPA) shifted to run during lower-carbon hours — e.g. batch jobs, training runs, or backups timed to overnight wind or midday solar.
Check a service like WattTime or Electricity Maps for your grid's actual day-ahead carbon intensity range.