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CEWT – Carbon Recycling Technology (CRT)

Internal Concept Note: CRT as an Integrated Energy Platform

1. Core Concept

Carbon Recycling Technology (CRT) is not a single process or unit operation. It is an integrated energy platform designed to manage carbon and hydrogen flows within a closed-loop system.

CRT enables the transformation of CO₂ from a waste emission into a reusable feedstock, combined with renewable hydrogen to deliver energy and fuels.

2. Platform Capabilities

CRT can be configured to deliver multiple outputs:

• Zero-emission baseload power and heat (via closed carbon loop)

• Low/zero-carbon fuels for transport (marine, industrial, etc.)

• Aviation-grade liquid fuels (with appropriate downstream configuration)

This multi-output capability defines CRT as a flexible energy architecture rather than a fixed technology.

3. Engineering Basis

CRT integrates three controllable elements:

a) Carbon Management

– CO₂ capture and recycling

– Closed carbon loop (no continuous fossil input)

b) Hydrogen Integration

– Renewable hydrogen as primary energy input

– Defines system energy intensity and output flexibility

c) Process Pathway Flexibility

– Methane loop (power generation via gas turbines)

– Syngas loop (fuel synthesis pathway)

4. Aviation Fuel Configuration

Aviation fuel is not a default output of CRT. It requires specific configuration:

• Syngas conditioning (H₂/CO ≈ 2)

• Fischer–Tropsch synthesis

• Hydro processing/upgrading to jet fuel specifications (C8–C16 range)

This enables the production of drop-in aviation fuels compatible with existing infrastructure.

5. System Modes

CRT can operate in different modes depending on system design:

Power Mode:

– Maximises electricity generation

– Uses methane loop via gas turbines

Fuel Mode:

– Diverts carbon and hydrogen to liquid fuel synthesis

– Lower overall efficiency, higher complexity

Hybrid Mode:

– Simultaneous power and fuel production

– Requires optimisation based on demand and economics

6. Strategic Insight

The value of CRT lies in its shared upstream infrastructure:

• CO₂ capture

• Hydrogen supply

• Carbon-hydrogen integration

This allows flexible allocation of energy between electrons (power) and molecules (fuels).

CRT, therefore, functions as an integrated platform capable of supporting multiple sectors from a single system architecture.

7. Key Positioning

CRT is an integrated carbon–hydrogen platform capable of delivering:

• Baseload power

• Low-carbon fuels

• Aviation-grade fuels (with configuration)

The system’s strength lies in its ability to operate as a closed-loop carbon architecture, reducing dependence on fossil carbon while maintaining energy reliability and scalability.

End of Note

AI Load vs Grid Reality- A System Architecture Perspective

Clean Energy and Water Technologies Pty Ltd (CEWT)

Energy Systems Insight Note
AI Load vs Grid Reality — A System Architecture Perspective

1. The Emerging Mismatch

Artificial Intelligence (AI), particularly at inference scale, introduces a new category of electricity demand.

While AI models are often evaluated based on efficiency per computation, the electrical grid experiences demand differently.

The grid sees:
• Continuous load accumulation over time 
• Cumulative demand from distributed inference 
• Persistent, baseload-like pressure 

Model efficiency is instantaneous — grid stress is time-integrated.

2. Why This Matters

As AI adoption accelerates, inference workloads behave like:
• Always-on services 
• Globally distributed compute 
• Latency-sensitive operations 

AI is no longer a discrete load. It becomes a continuous system force shaping demand.

3. Limits of Current Approaches

Current responses include:
• Time-of-use pricing 
• Real-time markets 
• Location-based signals 
• Limited workload shifting 

But these are incremental. The structural imbalance remains:

Renewables → intermittent 
Batteries → short-duration 
AI demand → continuous 

Pricing alone cannot solve this.

4. The System Architecture Shift

The next phase requires integrated system design.

CEWT’s Carbon Recycling Technology (CRT):
• Converts renewable electricity into renewable gas 
• Stores energy in molecular form 
• Dispatches energy when required 

This enables long-duration storage and demand-aligned supply.

5. Reframing the Problem

Instead of aligning demand to supply:

We must reshape supply to follow demand.

This is essential for AI-scale energy systems and industrial decarbonisation.

6. The Strategic Fork

Path 1: Incremental expansion 
• More renewables, storage, transmission 

Path 2: Architectural integration 
• Electrons + molecules 
• Long-duration storage 
• Demand-responsive systems

7. Conclusion

AI is not just a load — it is a system-shaping force.

It will either stress existing infrastructure or drive a transition toward integrated energy systems.

The outcome depends on whether we optimise incrementally or redesign fundamentally.


CEWT — Advancing Carbon Recycling Technology for integrated, dispatchable, zero-emission energy systems.