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Green AI Data Centre Power Solution

RW Energy
Zhejiang Rockwell Energy Technology Co., Ltd.
 
Multi-Scenario Solutions Based on Solid-State Transformers (SST)

1. Industry Background and Pain Points

1.1 Industry Background

In the AI large-model era, the power density of a single data-centre rack has jumped from the traditional 8 kW to 50–100 kW+, and total electrical load is moving from tens of megawatts to hundreds of megawatts. Power systems that are highly efficient, space-saving and quick to deploy have become the core competitive advantage of computing infrastructure.

Green AI Data Centre Power Solution

1.2 Four Pain Points of Traditional Data-Centre Power Supply

Pain point Description Physical root cause
Long power chain 10 kV → line-frequency transformer → 400 V → AC/DC → isolated DC/DC → 48 V Five conversion stages, each losing 3%–5%
Efficiency bottleneck Full-chain efficiency of only ~86% Cumulative losses across multiple stages
Excessive footprint Substation + UPS + distribution panels stacked Line-frequency transformer plus multiple devices
Slow deployment 12+ months of on-site construction Dispersed equipment, complex wiring

 1.3 Traditional vs. SST Power Chain — the Physical Difference

Traditional chain (5 conversion stages)

Step Equipment Loss In plain terms
① Line-frequency transformer 1%–2% Steps 10 kV down to 400 V
② AC/DC rectifier 2%–3% Converts AC to DC
③ Isolated DC/DC 2%–3% Isolated DC conversion
④ Distribution busbar 0.5% Power delivery
⑤ Board-level power 3%–5% Steps down to CPU voltage
 Total loss: ~14% across the chain, efficiency of only ~86%.

SST direct-connection chain (2 stages)

Step Equipment Loss In plain terms
① SST solid-state transformer 1%–2% Directly connected at 10 kV; transformation, rectification and isolation in one step
② Board-level power 3%–5% Steps down to CPU voltage
 Total loss: ~9% across the chain, efficiency of ≥90.8%.

Physical root cause: SST medium-voltage direct connection eliminates the line-frequency transformer and the intermediate conversion stages, removing the 3%–5% loss of each eliminated stage.

Green AI Data Centre Power Solution

2. Solution Overview and Value Proposition

2.1 Solution Definition (BLUF)

Replacing the traditional "isolated DC/DC + AC/DC + line-frequency transformer" chain with SST solid-state power delivers:

  • Full-chain efficiency of ≥90.8% (+5%)
  • Footprint reduced by 65%
  • Copper content reduced by 90%+
  • Installation time reduced by 75%

2.2 Core Value Proposition

Value dimension Metric vs. traditional
Full-chain efficiency ≥90.8% Traditional ~86%, +5%
Footprint −65% One integrated module
Copper content −90%+ Medium-voltage direct connection removes low-voltage high-current busbars
Installation time −75% Factory pre-fabrication plus plug-and-play
Reliability N+X redundancy Automatic bypass on single-module fault

 3. System Architecture

3.1 System Topology (Layer by Layer)

① Medium-voltage connection: dual-loop 10 kV incoming — with incoming protection and metering
② SST power modules (N+X redundant): 10 kV AC → DC busbar → 400 V / 48 V output, with automatic fault bypass
③ Distribution layer: column header → racks — servers / storage / AI accelerators
④ Management layer: environment monitoring and energy management

Layer Composition Power flow Design rationale
① Medium-voltage connection Dual-loop 10 kV Grid → SST Redundant dual-supply feeding
② SST supply N+X modules 10 kV → DC → Load Integrated conversion and redundancy
③ Distribution layer Column header + racks DC/AC → Servers Local distribution to cut losses
④ Management layer Environment monitoring + EMS Information flow Energy-efficiency monitoring

Green AI Data Centre Power Solution

3.2 Comparison with the Traditional Chain

Stage Traditional SST Benefit
Voltage conversion Line-frequency transformer + AC/DC + DC/DC Single SST unit Eliminates 3 conversion stages
Supply architecture Dispersed stacking Modular and integrated Footprint −65%
Construction On-site wiring Factory pre-fabrication Time −75%

 4. Core Equipment and Technical Parameters

Parameter Value Physical significance
Full-chain efficiency ≥90.8% Saves the loss of 3 conversion stages
Footprint -65% Integrated module
Copper content -90%+ Medium-voltage direct connection
Installation time -75% Factory pre-fabrication
Reliability N+X redundancy Automatic fault bypass
Power class Modular and scalable Suited to AI clusters

 5. Technical Highlights and Physical Principles

5.1 Highlight 1: A Slimmer Power Chain

Physical principle: every AC/DC or DC/DC conversion stage carries a 3%–5% loss. The SST merges transformation, rectification and isolation into a single stage, cutting the chain from five stages to two and eliminating those losses.

Quantified benefit: +5% efficiency and a significant drop in PUE.

Green AI Data Centre Power Solution

5.2 Highlight 2: Medium-Voltage Direct Connection

Physical principle: the traditional approach needs low-voltage high-current busbars (400 V, thousands of amps) to deliver power, with heavy copper loss. The SST connects directly at 10 kV, delivering power at high voltage and low current, so busbar copper usage collapses.

Quantified benefit: copper content −90%+, with lower heat generation and reduced fire risk.

5.3 Highlight 3: Plug-and-Play

Physical principle: modular factory pre-fabrication means only assembly and wiring are needed on site.

Quantified benefit: installation time −75%, letting AI computing centres come online quickly.

6. Economic Comparison with the Traditional Approach

Cost item Traditional SST Savings
Civil works (footprint) Baseline −65% Significant
Copper material Baseline −90% Material costs slashed
Electricity (efficiency) Baseline +5% Large annual savings
Construction 12 months 3 months Early-launch revenue

Green AI Data Centre Power Solution

7. Landmark Project References

Project Application Key data
GDS Chongqing Direct-connected energy-storage integration 90% overall efficiency
CNPC Kunshan Charging station 95%+ efficiency
Guangdong Power Grid Flexible interconnection 98.7% efficiency

 8. Technical Standards and Compliance

Standard Scope
GB 50174 Data-centre design code
GB/T 34120 Energy storage connected to the grid
IEC 61850 Communication
 

9. Delivery and Services

  • Factory pre-fabricated modular units
  • Plug-and-play installation on site
  • Full-lifecycle remote operation and maintenance

Deployed Equipment

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