CEWT – AI-Enabled Carbon Recycling Technology (CRT) Architecture

A System Architecture for Zero-Emission Baseload Power and Closed Carbon Loop Fuels

1. Closed Carbon Loop (Physical System)

Renewable Energy → Electrolysis (H₂) → CO₂ Capture → Methanation (CH₄) → Power / Industrial Use → CO₂ → Capture → Loop

2. AI Control Layer

• Forecasting (weather, grid demand)

• Digital Twin (system simulation)

• Real-time optimisation and autonomous control

3. System Architecture Layers

Layer 1 – Physical Assets: GTCC, Electrolysers, Methanation, CO₂ Capture

Layer 2 – Data Acquisition: SCADA, sensors, grid signals

Layer 3 – Integration: Data platform, system-wide visibility

Layer 4 – AI Intelligence: Optimisation, predictive control

Layer 5 – Decision Layer: Dispatch, economic optimisation

4. Key AI Functions

• Real-time balancing of H₂, CO₂, and CH₄

• Predictive control for renewable variability

• Economic optimisation of energy flows

• Carbon accounting across the full system

5. CEWT Positioning

CRT is not just a chemical process. It is an AI-enabled energy system integrating carbon, hydrogen, and power into a closed-loop architecture.