Network Architecture

Global energy network infrastructure for distributed computing

Research Phase

Research Project Notice

This documentation describes theoretical research into global energy network infrastructure. All features, metrics, and capabilities require extensive validation. Performance targets are research objectives and actual results may vary significantly.

Reference: SKENAI [S-L0-001] | Framework: Energy Network | Status: Infrastructure Development

NODES

Physical Foundation Layer

Network infrastructure points

Physical energy infrastructure nodes

Human participant operation

Community-driven energy systems

Infrastructure validation

Energy asset verification metrics

EDGES

Connection Layer

Inter-node communication

Energy network signal paths

Distributed computing spaces

AI workload distribution

Performance monitoring

Cost per token optimization

VALIDATORS

Authority Layer

Energy asset validation

Stranded energy verification

Network consensus research

Distributed validation protocols

Economic model validation

Cost optimization metrics

Energy Infrastructure

Stranded energy monetization systems

Stranded Energy Sources

  • • Gas flare recovery systems
  • • Excess renewable capacity
  • • Industrial waste heat
  • • Grid excess power

Research Objectives

  • • Energy asset tokenization
  • • Cost per token optimization
  • • Distributed computing efficiency
  • • Environmental impact reduction

Network Monitoring

Real-time infrastructure status

Monitoring Systems

For real-time network status and validator performance metrics, visit:

CHANDELIER.live

Research Metrics

  • • Energy utilization rates
  • • Network efficiency metrics
  • • Cost per token tracking
  • • Infrastructure validation status

System Energy Framework

90/9/1 energy allocation model for network optimization

90%
Computational Energy
CPU cycles, memory, network, storage operations
9%
Informational Energy
Shannon entropy, pattern detection, market signals
1%
Structural Energy
Network topology, governance, token mechanics

This framework optimizes resource allocation across energy types to maximize network efficiency and minimize computational costs, supporting the core mission of reducing cost per token.