AI Data Center Grid & Power Sizing Simulator

Model gigawatt-scale AI compute load, 24-hour supply dispatch, substation interconnect capacity, BESS storage, and clean firm power (SMR & Fusion).

Presets:
Peak Demand (Cluster + PUE)
141.6MW
1,215 GWh/yr
Grid Deficit / Unserved
0.0MW peak
100.0% Uptime
Clean Energy Share
48.2%
192 gCO2/kWh
Effective Power Cost
$79.4/MWh
$96.5M / yr
24-Hour Power Dispatch & Storage Simulation (Scrub timeline to inspect hourly dispatch)
Grid Interconnect SMR Nuclear Fusion Solar Wind BESS Out Unserved Deficit
Scrub across the 24-hour graph to view hourly dispatch and battery state.

Infrastructure & Generation Sizing

IT Compute Direct Load120.0 MW
Thermal Overhead (PUE)21.6 MW
Grid Transmission Allocated120.0 MW
Firm Clean (SMR + Fusion)0.0 MW
Behind-The-Meter Renewables160.0 MW nameplate
BESS Max Stored Energy160 MWh

Reliability & Grid Stress Analysis

Substation Capacity Margin-21.6 MW (Over)
Curtailed Surplus Energy148.2 MWh/day
BESS Daily Cycles0.85 cycles/day
Interconnect Queue RiskMedium (3-5 yr lead)
Carbon Intensity ScoreGrade B+
Levelized Cluster Energy Spend$0.079 / kWh
Model running in real-time. Adjust parameters or switch presets.

Solving the AI Power Grid Bottleneck

Why hyperscalers, fusion startups, and utilities are converging on next-generation on-site clean power.

Substation Interconnection Queues

Traditional utility grid interconnects now face 4 to 7 year delays across PJM, ERCOT, and CAISO. High-density AI training clusters exceeding 100 MW require dedicated behind-the-meter generation or transmission upgrades before compute clusters can energize.

SMR Nuclear & Commercial Fusion

Unlike intermittent solar and wind, advanced nuclear fission (SMRs) and magnet-confined fusion provide continuous 24/7/365 firm power without costly gigawatt-hour battery banks, directly matching the continuous 95%+ baseload factor of foundational training models.

PUE & Liquid Cooling Density

As rack power densities surpass 100 kW to 150 kW per rack for next-gen GPU clusters, direct-to-chip liquid cooling and two-phase immersion bring PUE down from 1.45 to <1.15, eliminating dozens of megawatts of parasitic chiller load from the local substation.

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