Power Redundancy Analyzer
dc_analyze_power_redundancySize UPS, generator, and PDU systems for data center power redundancy, assessing efficiency losses and fault tolerance for N to 2N+1 configurations.
Instructions
Analyze power redundancy configuration for a mission-critical data center.
Calculates UPS module count and sizing, generator count and total capacity, PDU requirements and switchgear feeds, electrical efficiency chain losses, UPS loading percentage, and concurrent maintainability / fault tolerance assessment.
Supports N, N+1, 2N, and 2N+1 redundancy configurations.
Args:
it_load_kw (number): Total IT load in kW
redundancy_config (string): "N", "N+1", "2N", or "2N+1"
ups_module_size_kw (number): Individual UPS module capacity (default: 500 kW)
generator_size_kw (number): Individual generator capacity (default: 2000 kW)
ups_efficiency (number): UPS efficiency 0.8-0.99 (default: 0.95)
pdu_efficiency (number): PDU efficiency 0.9-0.999 (default: 0.98)
transformer_efficiency (number): Transformer efficiency (default: 0.985)
Returns structured JSON with complete power infrastructure sizing and recommendations.
Examples:
"Size a 2N UPS system for 3 MW" -> it_load_kw: 3000, redundancy_config: "2N"
"What do I need for N+1 at 1.5 MW with 750 kW UPS modules?" -> it_load_kw: 1500, redundancy_config: "N+1", ups_module_size_kw: 750
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| it_load_kw | Yes | Total IT electrical load in kilowatts (kW) | |
| pdu_efficiency | No | Power distribution unit efficiency (default: 0.98 = 98%) | |
| ups_efficiency | No | UPS efficiency at operating load (default: 0.95 = 95%) | |
| generator_size_kw | No | Individual generator capacity in kW (default: 2000 kW / 2500 kVA) | |
| redundancy_config | Yes | Power redundancy configuration: N (none), N+1 (one spare), 2N (fully redundant), 2N+1 (redundant + spare) | |
| ups_module_size_kw | No | Individual UPS module capacity in kW (default: 500 kW) | |
| transformer_efficiency | No | Transformer efficiency (default: 0.985 = 98.5%) |