Track compute, storage, networking, and facility overhead for detailed energy insights. Model greener infrastructure choices. Plan cleaner cloud operations with measurable efficiency gains now.
| Scenario | Instances | Storage (TB) | Transfer (TB) | PUE | Facility Energy (kWh) | Net Emissions (kg CO2e) |
|---|---|---|---|---|---|---|
| Balanced Production Cluster | 120 | 180 | 340 | 1.35 | 22,584.10 | 6,830.42 |
| High Transfer Analytics | 80 | 90 | 900 | 1.42 | 17,960.80 | 7,113.47 |
| Optimized Green Deployment | 100 | 140 | 260 | 1.18 | 16,202.55 | 2,592.41 |
These rows illustrate how different infrastructure profiles change total energy demand and emissions.
This model separates direct IT demand from building overhead, then adjusts emissions by the renewable share you enter. It helps compare infrastructure efficiency, not exact utility billing.
It estimates cloud energy demand from compute, memory, storage, networking, cooling overhead, electricity cost, and net emissions for a selected operating period.
PUE captures facility overhead beyond direct IT consumption. It accounts for cooling, power conversion, lighting, and similar building-level energy loads.
It adjusts compute power to reflect consolidation quality. Lower percentages imply better utilization efficiency and less energy per hosted workload.
No. Renewable share changes estimated emissions, not power demand. Total kWh stays the same unless workload, hardware, utilization, or facility efficiency changes.
Yes. Run separate scenarios for each provider, region, or architecture. Then compare facility energy, energy intensity, and net emissions side by side.
Workload units can represent requests, jobs, transactions, builds, or processed records. They let you express energy intensity per unit of useful output.
It is best for planning, benchmarking, and scenario testing. Exact audits should use provider reports, metered data, and verified regional emissions factors.
Many cloud estimates ignore supporting services. Including storage and transfer makes comparisons more realistic, especially for data-heavy systems and analytics platforms.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.