Artificial Intelligence, Quantum Computing and the Emerging Global Energy Challenge

Clean Energy and Water Technologies Pty Ltd (CEWT)

Introduction: A New Industrial Revolution

Human civilisation has experienced several great technological revolutions, each transforming how energy is produced and consumed. The Industrial Revolution was powered by coal and steam. The twentieth century brought petroleum, natural gas and widespread electrification. The digital revolution introduced computers, telecommunications and the internet.

We are now entering another transformation: the industrialisation of intelligence itself. Artificial intelligence is rapidly evolving from a specialised computational tool into fundamental infrastructure supporting scientific research, manufacturing, healthcare, transportation, financial systems and everyday activities. Alongside AI, advances in quantum computing, robotics and autonomous systems promise to expand the boundaries of computation.

Can the world’s energy infrastructure expand rapidly enough to support the computational demands of the twenty-first century? The answer depends not only on electricity generation, but also on integrating storage, cooling, water management and carbon recycling.

1. From Energy-Intensive Industry to Energy-Intensive Intelligence

Traditionally, industrial energy consumption has been associated with physical processes: extracting minerals, manufacturing steel, producing chemicals, transporting goods, and heating buildings. Artificial intelligence introduces another form of demand.

Computational work requires physical infrastructure. Every calculation involves electrical energy, and nearly all the electricity consumed by computing equipment ultimately appears as heat. Modern AI infrastructure requires specialised processors, high-speed networks, memory systems, electrical distribution and cooling. Many facilities operate continuously.

A 100 MW data centre operating at full load for 8,760 hours consumes 876,000 MWh, or 0.876 TWh per year. A 1 GW computing campus consumes 8.76 TWh annually at continuous full load. Hundreds of such installations would represent an extraordinary concentration of demand.

2. The Scale of the Emerging Electricity Demand

According to the International Energy Agency’s Energy and AI report, global data-centre electricity consumption was approximately 415 TWh in 2024 and could reach around 945 TWh by 2030. These projections already include AI computing; AI must not be counted as an additional, separate load.

Computing growth coincides with electrification of transport, industry, heating and hydrogen production. Electricity demand and total primary energy consumption must nevertheless be distinguished: electrification can displace inefficient combustion and reduce primary energy requirements while increasing electricity consumption.

The critical constraint may increasingly become the availability of firm electricity rather than computing hardware.

3. The Paradox of Computational Efficiency

Semiconductor technology has delivered extraordinary improvements in computational efficiency. Modern processors perform calculations using far less energy than earlier generations, and specialised AI accelerators continue that trend.

Yet improvements in efficiency do not necessarily reduce total consumption. When the cost of computation decreases, demand for computational services may rise—a pattern associated with the Jevons paradox. More efficient AI could encourage wider use in science, transportation, industrial automation and continuous decision-making. Total computation could grow faster than energy use per computation falls.

4. Quantum Computing: The Next Frontier

Quantum computing uses quantum states represented by qubits rather than conventional binary bits. Potential applications include molecular simulation, materials science, chemistry, cryptography and selected optimisation problems.

Some architectures, including superconducting quantum processors, require temperatures near absolute zero, dilution refrigeration and extensive control electronics. Others have different infrastructure requirements. It is premature to conclude that quantum computing will necessarily increase global electricity demand dramatically: some problems may eventually be solved more efficiently than on classical supercomputers.

Its net energy impact remains uncertain, but quantum computing could enable entirely new classes of computational work.

5. Electricity Is Only Part of the Problem

A data centre converts electrical energy into computational work, with heat as an unavoidable consequence. Almost all electricity supplied eventually becomes heat. A facility consuming 100 MW must therefore reject heat approaching 100 MW in steady operation, although the distribution among equipment and cooling systems varies.

High-density AI installations increasingly use direct liquid cooling. Waste heat can potentially be recovered, but its usefulness depends on temperature, heat-transfer conditions and the needs of nearby consumers. Low-temperature cooling water may support district heating or heat-pump integration, but is generally unsuitable for direct industrial steam generation. The aim is to maximise useful heat recovery without excessive additional electricity consumption.

6. The Emerging Water Challenge

Many cooling systems consume water through evaporation. Requirements depend on climate, technology, operating temperature, water quality, and the balance between evaporative and mechanical cooling. There is also indirect water consumption associated with electricity generation.

Data-centre design should consider treated wastewater reuse, closed-loop liquid cooling, dry and hybrid cooling, and desalination where appropriate. In resource-constrained locations such as Singapore, integrated energy and water planning is especially important.

7. Why Renewable Electricity Alone May Not Solve the Problem

Solar and wind will be essential contributors, but annual generation is not the same as continuous availability. A 20 MW data centre operating continuously requires 175.2 GWh annually (20 MW × 8,760 hours). At a 25% annual capacity factor, 80 MW of solar capacity would theoretically generate an equivalent annual amount of electricity. That would not guarantee continuous 20 MW delivery.

Storage, overbuilding, interconnection, dispatchable generation, and demand flexibility may be required. Their optimum combination depends on hourly generation profiles, reliability requirements, storage duration, and economics. The AI revolution requires not merely abundant renewable energy but reliable and economically sustainable electricity infrastructure.

8. Carbon Recycling Technology: An Integrated Energy Approach

CEWT is investigating Carbon Recycling Technology (CRT), in which carbon acts as a recyclable energy carrier. Methane generates electricity, its carbon dioxide is recovered, and hydrogen is used to regenerate methane by catalytic methanation:

CO₂ + 4H₂ → CH₄ + 2H₂O

Methanation releases heat, but hydrogen production requires substantial external energy. Carbon recycling cannot generate net energy independently. Its potential value is the integration of renewable hydrogen, dispatchable methane generation, CO₂ recovery and useful heat utilisation. Overall greenhouse gas performance must include methane leakage, capture efficiency, hydrogen production and external electricity supply.

The objective is not to circumvent thermodynamics but to improve the utilisation of available energy within a controlled industrial system.

9. The CEWT 20 MW CRT Trigeneration Demonstration

CEWT is developing the engineering basis for a proposed 20 MW CRT trigeneration demonstration serving data-centre infrastructure in Australia’s Latrobe Valley. It compares three configurations: renewable electricity with battery storage; renewable electricity with battery and hydrogen storage; and renewable electricity integrated with CRT recycled-methane generation and heat recovery.

The objective is a consistent comparison of continuous delivery, reliability, capital and operating costs, cooling, water and carbon performance. Methanation heat may support steam generation, feed preheating or absorption refrigeration, depending on temperature and availability.

The proposed trigeneration outputs are electricity, useful thermal energy and cooling. Whether the recovered heat matches data-centre cooling demand must be demonstrated. Surplus thermal energy may serve other uses, subject to heat quality, distribution costs and nearby customers. The project remains at the technology-integration and evaluation stage, pending complete mass and energy balances, vendor information and techno-economic assessment.

10. A New Measure of Data-Centre Efficiency

Power Usage Effectiveness (PUE) compares total facility electricity use with computing equipment electricity use. It is useful, but does not capture the carbon intensity or cost of electricity, recovered thermal energy, water demand or overall system reliability.

Future evaluation should also consider lifecycle carbon intensity, Water Usage Effectiveness, energy availability, useful heat recovery, cost per unit of computation, and useful computing output per MW. No single measure captures every AI application. The guiding objective is to maximise useful intelligence delivered per unit of energy consumed.

11. The Future Energy System Must Be Integrated

Electricity generation, cooling, water supply and waste management have often been designed separately. AI expansion encourages integrated planning of renewable generation, storage, dispatchable power, thermal recovery, water recycling and carbon management.

Chemical process engineering offers a familiar analogy: an efficient reactor does not necessarily produce an efficient plant. Overall performance depends on reactions, separations, heat integration, compression, equipment reliability and optimisation. The same is true of data-centre energy infrastructure. Optimising individual equipment matters; optimising the complete system is essential.

12. Will Energy Become the Ultimate Constraint on Artificial Intelligence?

AI algorithms and semiconductor architectures are evolving rapidly, while major transmission networks, power stations and supporting infrastructure can take years to plan, finance, approve and build. This creates a potential mismatch between computing deployment and the development of firm electricity supply.

Access to reliable power, suitable land, cooling resources and infrastructure could become as strategically important as access to advanced chips. Regions offering affordable, dependable, low-carbon electricity may gain an advantage in attracting computing investment. Electricity infrastructure could increasingly become a matter of national technological competitiveness.

13. Conclusion: Intelligence Has a Physical Cost

Artificial intelligence is often discussed as though it exists independently of the physical world. In reality, every computational operation depends on equipment, electricity, materials, and heat rejection. Quantum computing is no exception.

The challenge is not necessarily that total global energy consumption will multiply several times. More immediately, computing electricity demand could grow much faster than the infrastructure needed to support it.

For CEWT, this is the broader engineering context for Carbon Recycling Technology. Its proposed contribution is to investigate whether renewable energy, carbon recycling, continuous generation, and heat recovery can be combined into an economically viable, environmentally responsible system. Success must be demonstrated through engineering evidence.

For two centuries, industrial progress has largely reflected our ability to harness energy for physical work. In coming decades, progress may increasingly reflect our ability to harness energy for intellectual work. Both remain governed by thermodynamics.

Intelligence may advance exponentially. Energy infrastructure cannot be assumed to follow the same trajectory.

Final Reflection

Humanity is investing enormous resources to create machines capable of reasoning, learning, and solving complex problems. Yet one of the most important problems these machines must help solve is how to supply the energy required for their own operation.

Perhaps the ultimate achievement of artificial intelligence will not simply be greater computational power. It may be the development of a civilisation capable of using energy, materials and natural resources with far greater intelligence than we do today.

Reference

International Energy Agency (2025), Energy and AI. https://www.iea.org/reports/energy-and-ai

Clean Energy and Water Technologies Pty Ltd | Carbon Recycling Technology — Integrated Energy Systems for a Sustainable Future

We cannot build a truly sustainable renewable energy economy without first decarbonising the materials used to manufacture renewable energy technologies.

Solar photovoltaic panels are central to the global energy transition. Yet their production begins with silicon, which is manufactured through energy-intensive industrial processes.

Conventional metallurgical silicon production involves reducing quartz (SiO₂) with carbon at high temperatures:

SiO₂ + 2C → Si + 2CO

The carbon monoxide is subsequently oxidised to CO₂.

This raises a fundamental question:

How can we claim that renewable energy is sustainable if its essential materials are manufactured using carbon-intensive processes?

The answer is not to abandon solar energy. It is to decarbonise its entire manufacturing value chain.

At Clean Energy and Water Technologies (CEWT), we are exploring an alternative approach that integrates silicon production with our Carbon Recycling Technology (CRT).

The concept involves methane-assisted plasma processing, hydrogen-rich gas generation, CO₂ recovery, and methanation to recycle carbon rather than continuously consuming it.

Our proposed overall reaction is:

SiO₂ + 2H₂ → Si + 2H₂O

This represents the intended net chemistry of a carbon-recycling process, not an established commercial production route. Its practical feasibility, energy requirements and economics must be demonstrated.

The opportunity extends beyond silicon.

We need to rethink how steel, cement, glass, chemicals and other essential industrial materials are produced.

Renewable electricity alone does not make an industrial supply chain carbon-free.

We must examine the complete lifecycle—from raw material extraction and processing to manufacturing, operation and recycling.

The future of renewable energy should begin with the decarbonisation of its own foundations.

Clean energy must be built from cleaner materials.

#RenewableEnergy #Silicon #SolarPV #IndustrialDecarbonisation #CarbonRecycling #GreenManufacturing #CleanTechnology #CEWT

God Plays Dice- Two Lights

A JOURNEY FROM SCIENCE TO SELF-ENQUIRY

GOD PLAYS DICE
TWO LIGHTS

Science, Consciousness and the Search for Who I Am

By Dharma

Who Is the Observer?

The universe can be observed. But who is observing?

For more than four decades, the author has explored the physical world through science and engineering.

Yet an unexpected experience before a mirror raised a question that scientific equations alone could not answer.

For a brief moment, he could see his reflection but did not recognise the person looking back.

Seeing remained. Recognition disappeared.

That experience began a journey into consciousness, memory, personal identity and the nature of the observer.

The Two Lights

The first light reveals the universe.
The second points toward the knowing of the universe.

The first light is physical light—the electromagnetic radiation that illuminates the world and makes vision possible.

The second light is a metaphor for awareness—the knowing through which seeing, thinking, and experience become known.

Physical light allows us to see the world.
But what allows us to know that we are seeing?

About the Book

God Plays Dice — Two Lights explores the relationship between modern science, consciousness and Eastern philosophy.

Drawing upon Einstein, quantum mechanics, the nature of matter and energy, and the teachings of Sri Ramana Maharshi, Patanjali and Advaita Vedanta, Dharma examines the distinction between the observable world and the observer.

The book does not claim that physics proves spirituality. Instead, it explores how scientific investigation and self-enquiry can illuminate different dimensions of the search for truth.

Its central question gradually changes from:

What am I seeking?
↓
Who is seeking?
↓
Who am I?

About the Author

Dharma is the pen name of a chemical engineer with more than four decades of experience in engineering and technology development.

His lifelong interest in science gradually developed into an enquiry into consciousness, perception, and the nature of the Self.

Inspired by an unusual personal experience and the teachings of Sri Ramana Maharshi, he explores the relationship between scientific knowledge and spiritual self-enquiry.

Discover the Book

COMING SOON as a Kindle ebook on Amazon.

BUY ON AMAZON KINDLE

By Dharma | God Plays Dice — Two Lights

The global decarbonisation debate remains fragmented.

We discuss carbon capture, carbon removal, green hydrogen, renewable electricity and nuclear energy as separate solutions.

But perhaps we are overlooking a more fundamental engineering question:

Why do we continue to treat carbon as a disposable fuel?

For more than a century, our energy system has followed a linear pathway:

Fossil carbon → Combustion → Energy → CO₂ emissions.

At Clean Energy and Water Technologies (CEWT), we are investigating a different approach through Carbon Recycling Technology (CRT).

The concept is straightforward.

Capture the CO₂ generated by a power plant, combine it with renewable hydrogen, regenerate methane and return that methane to the same power-generation system.

The carbon circulates. Renewable energy replenishes the chemical energy of the fuel.

We recognise that this requires substantial external renewable electricity.

Indeed, converting CO₂ back into methane is energy-intensive, and every conversion introduces losses.

But the objective is not to create energy from nothing.

The objective is to stop continuously introducing new fossil carbon into the energy system.

Consider the wider implications.

If an integrated carbon-recycling system can be demonstrated successfully at one baseload power facility, the same engineering principle could potentially be replicated across other suitable power plants and industrial installations.

Instead of repeatedly extracting, burning and discarding carbon, we could progressively establish industrial systems in which carbon remains in productive circulation.

This would not happen overnight.

Nor would carbon recycling alone reverse historical atmospheric CO₂ accumulation. That requires additional carbon removal and durable storage.

But it could help us address a fundamental problem:

We cannot stabilise atmospheric CO₂ concentrations while continuing to release additional fossil carbon indefinitely.

The engineering challenge is therefore to minimise carbon losses, eliminate unnecessary fossil-carbon inputs and integrate renewable energy, hydrogen, carbon capture and fuel regeneration into a single system.

We should evaluate such systems not only by electrical efficiency, but also by their carbon-retention efficiency, life-cycle emissions and economic performance.

Our proposed CRT trigeneration demonstration for data centres is intended to investigate this integrated approach.

The broader vision is simple:

One power plant closes its carbon loop.

Then another.

And another.

Over time, the cumulative reduction in new fossil-carbon emissions could become significant.

The energy transition should not be limited to finding cleaner ways of generating electricity.

It should also challenge the assumption that carbon must be discarded every time we use it to generate energy.

Carbon is an element. Energy is what we consume. Why not keep the carbon circulating?

#CarbonRecycling #CRT #IndustrialDecarbonisation #NetZero #CarbonCapture #GreenHydrogen #BaseloadPower #EnergyTransition #CircularCarbonEconomy

From a linear carbon economy to an integrated water–energy–carbon recycling economy

A CEWT position statement for governments, policymakers, financial institutions, industry and the scientific community

Clean Energy and Water Technologies Pty Ltd (CEWT)  |  October 2026

The fundamental industrial mistake

Carbon is indispensable to life, chemistry and modern industry. Carbon oxidation is also a useful chemical reaction: it supplies heat and supports essential industrial processes. The environmental problem is not the carbon atom or the act of oxidation itself. It is the continued extraction of geological carbon and the release of additional carbon dioxide into the atmosphere without effective recovery.

For generations, much of industry has followed a linear pathway: geological carbon → industrial use → CO₂ → atmosphere. This treats a valuable chemical element as a disposable resource. The result is cumulative atmospheric CO₂, alongside continued dependence on fossil resources.

Why fragmented decarbonisation is not enough

Having emitted CO₂ for decades, society is investing heavily in solar photovoltaics, wind power, electrification, renewable hydrogen, carbon capture, utilisation and storage (CCUS), and other climate solutions. These technologies can deliver substantial benefits. Renewable electricity can displace fossil generation, and permanent geological CO₂ storage can avoid atmospheric release. Yet deploying these technologies in isolation does not automatically redesign the industrial carbon cycle.

The question for policymakers and investors is not simply how much low-carbon electricity can be installed, but whether the whole industrial system is reducing new geological carbon inputs and lifecycle greenhouse gas emissions. Carbon capture without a viable use or durable storage pathway, hydrogen without appropriate integration, and electrification without attention to material supply chains can leave significant industrial emissions unresolved.

Fossil-fuel dependence can also contribute to geopolitical vulnerability and competition over resources. Climate change is increasing risks from heat, extreme rainfall and other hazards. These outcomes have multiple causes; nevertheless, continued greenhouse gas emissions remain a central driver of climate risk.

Electrification must include embodied emissions

Zero emissions at the point of electricity generation do not mean zero lifecycle emissions. Solar PV requires silicon, glass and aluminium; wind power requires steel, concrete and copper; batteries and electrolysers require mined and processed materials. Manufacturing, transport, construction and replacement all have carbon footprints.

This does not invalidate renewable energy. It reinforces the need to decarbonise the industries that manufacture renewable-energy infrastructure. Success should be measured through transparent lifecycle assessment, including embodied emissions, rather than operational emissions alone.

CEWT’s alternative: keep carbon in productive circulation

CEWT is developing Carbon Recycling Technology (CRT) around a different industrial principle: capture carbon dioxide from industrial operations, use low-emissions hydrogen to convert it into methane, and reuse that methane as an energy carrier or process feedstock. In simplified form: CO₂ + 4H₂ → CH₄ + 2H₂O. Subsequent methane use produces CO₂ that can be captured again.

The intended pathway is CO₂ → CH₄ → industrial use → CO₂ → CH₄. Renewable energy supplies the external energy needed to regenerate the fuel; carbon functions as a circulating material rather than a once-through geological resource. This is not a source of free energy. Its climate value depends on high CO₂ capture, low methane leakage, low-emissions hydrogen, and favourable full-system efficiency and lifecycle emissions.

Where direct electrification is more efficient and practical, it should be used. CRT is directed particularly at applications where carbon-containing fuels, reducing gases, continuous thermal supply or integrated process chemistry may remain valuable.

An integrated CEWT technology platform

CRT for power and industrial heat: CEWT proposes recycling captured CO₂ into methane for firm power, process heat and trigeneration, with recovery of useful thermal energy where practicable.

Green iron: hydrogen-rich reducing gases, CO₂ recovery and carbon recycling are being investigated to reduce the lifecycle emissions of ironmaking while maintaining reliable industrial operation.

Silicon production: CEWT is investigating methane-assisted/plasma-linked silica reduction with internal carbon recycling. The theoretical integrated net chemistry can be expressed as 2SiO₂ + 4H₂ → 2Si + 4H₂O. Carbon-containing intermediates may participate even if net carbon consumption cancels in the ideal stoichiometry. Experimental proof, actual yields, materials consumption and energy balances remain essential.

CAPZ desalination and DAC: CEWT proposes using sodium-rich ED concentrate, separated from calcium, magnesium, and sulfate through its NF/ED approach, as a starting medium for alkaline atmospheric CO₂ absorption. Part of the concentrate would feed caustic production through chlor-alkali electrolysis, with hydrogen and chlorine coproducts. The alkaline absorber would form carbonate/bicarbonate; BPMED-assisted pH adjustment and stripping would recover CO₂ and regenerate the working solution. The integrated DAC process remains subject to mass, ionic charge, water and energy balance validation.

Together, these developments aim to connect water treatment, industrial chemicals, carbon capture, fuel regeneration and materials production instead of treating them as unrelated projects.

What must be independently demonstrated?

CEWT welcomes independent engineering and scientific scrutiny. The proposed systems must be evaluated on a consistent basis: measured mass and energy balances; carbon capture and recycle rates; methane and process losses; electricity and hydrogen intensity; water use; equipment performance; costs; and cradle-to-grave lifecycle emissions.

Carbon utilisation is not equivalent to permanent carbon removal: methane made from captured atmospheric CO₂ will release that carbon again if combusted and not recaptured. A credible assessment must separately report avoided geological carbon use, avoided emissions, temporary carbon circulation and any genuinely durable removal.

Independent comparison should also include alternative pathways such as direct electrification, renewable generation, conventional CCUS and other industrial technologies. CEWT’s potential global contribution will depend on demonstrated performance, economic competitiveness and eventual deployment scale—not on aspiration alone.

A call to governments, financiers and industry

CEWT calls on governments, regulators, public agencies, financial institutions, manufacturers and research organisations to evaluate integrated carbon-recycling systems alongside established decarbonisation pathways. Funding and policy should reward verified system-wide emissions reductions, efficient resource use and replicable industrial outcomes—not only the installation of individual technologies.

We have spent decades developing technologies to manage the consequences of carbon emissions. It is time to redesign the industrial processes that created those emissions in the first place.

Carbon is not the enemy. The linear carbon economy is. Capture the carbon. Recycle the carbon. Reuse the carbon—and progressively end the need to extract new geological carbon for industrial use.

Preliminary engineering/investor note • 7 October 2026

1. Executive summary

CEWT’s proposed Latrobe Valley configuration combines renewable electricity, a modest short-duration BESS/UPS layer and Carbon Recycling Technology (CRT) using recycled methane (RSNG) as the long-duration firming medium. The central proposition is: renewables supply the primary energy; batteries provide speed; CRT provides endurance.

For a constant 20 MW AI data-centre load, three days of autonomous generation corresponds to 1,440 MWh of electricity. On the frozen 45.2% gas-engine electrical-efficiency basis, this requires approximately 229.4 t of methane. Using a preliminary liquid-methane density basis and 20% storage allowance, the corresponding gross RSNG/LNG storage envelope is about 650 m³.

2. Proposed three-layer resilience architecture

Layer 1 — UPS/BESS: millisecond-to-minute continuity for GPU transients, switching, and ride-through.

Layer 2 — Short-duration BESS: renewable smoothing and engine-transition support; a preliminary 2–4 hour range (about 40–80 MWh at 20 MW) should be evaluated.

Layer 3 — CRT/RSNG: hours-to-days firming, with recycled methane acting as the strategic energy reserve.

Normal operation should preferentially route renewable electricity directly to the data centre. PEM electrolysis and methanation should use allocated/surplus renewable energy to replenish the RSNG inventory. CRT generation is then dispatched during prolonged renewable shortfalls.

3. BESS versus RSNG — physical storage comparison

* Screening basis used in the working comparison: 90% BESS round-trip efficiency plus 15% energy reserve. ** Preliminary liquid-methane basis with 20% storage allowance; final tank sizing must include usable capacity, heel, boil-off, composition, and code requirements.

4. 72-hour CRT reserve calculation

The 6.08 GWh figure is a reserve-regeneration calculation, not a claim of battery-like round-trip efficiency. The simple electricity→H₂→CH₄→engine pathway is inherently less efficient than a lithium-ion battery, which is why renewable electricity should feed the data centre directly whenever available and CRT should be used for long-duration firming rather than daily cycling.

5. PEM capacity sensitivity

Recommendation: retain the 20 MW PEM as the present demonstration basis rather than oversizing the electrolyser solely to refill an emergency reserve rapidly. At 20 MW, a completely depleted 72-hour reserve requires about 12.7 equivalent full-load days to regenerate. If reserve depletion is infrequent, gradual replenishment can be commercially preferable to installing 80+ MW of PEM capacity for a 20 MW data-centre demonstration.

6. Market comparison and positioning

The emerging 20–30 MW AI data-centre segment provides a useful comparator for CEWT. Renewable+BESS projects demonstrate that developers are considering modular initial phases rather than only very large hyperscale campuses. CEWT’s differentiation is not that CRT should replace batteries: the design deliberately retains BESS for fast response while using chemical energy storage for prolonged firming.

Investor positioning: do not compare CRT with a four-hour battery on $/kWh alone. Compare complete 24/7 resilience architectures. As firming duration extends from hours toward days, the physical storage requirement for a battery-only solution becomes very large, while the RSNG inventory remains compact.

7. Design basis to retain

• AI data-centre load: constant 20 MW.
• Generation: six gas engines, 20 MW net aggregate, modelled at 45.2% electrical efficiency.
• PEM: retain 20 MW for the current demonstration basis; larger modules remain a sensitivity case.
• Strategic RSNG reserve: approximately 229 t usable CH₄ for 72-hour autonomy; preliminary gross storage envelope ~650 m³.
• BESS: size for UPS/transients and short-duration smoothing, not multi-day energy storage.
• Cooling: retain liquid-cooling integration and evaluate dry/low-water heat rejection alongside useful recovery of engine and methanation heat.
• Start-up: external RLNG can establish the initial carbon/methane inventory; CRT subsequently recycles captured carbon.

8. Important boundary conditions

The 229.4 t CH₄ / 114.7 t H₂ calculation uses the simple CO₂ + 4H₂ → CH₄ + 2H₂O relationship to size the strategic reserve. It is not the final integrated CRT process mass balance. The detailed 20 MW Trigen model must continue to use the agreed CRT stoichiometry and H₂-rich syngas design basis.

The 20 MW Latrobe Valley Trigen project must remain separate from the CEWT Green Iron / Western Australia case, including the much larger ~1.15 GW electrolyser requirement derived for that project. Values must not be transferred between the two designs.

9. Working investment proposition

“Renewables supply the energy. Batteries provide speed. CRT provides endurance. Recycled methane provides the strategic energy reserve.”

Next engineering step: close the full 20 MW CRT mass and energy balance, confirm CO₂ capture and methanation duties, select the short-duration BESS/UPS rating, and obtain vendor-based CAPEX/OPEX so the hybrid architecture can be compared with renewable+BESS-only alternatives on an equivalent availability basis.

THE DEFOSSILISED
DATA CENTRE

A New Architecture for the AI Era

Designed for the future.
Powered by circulation, not continuous fossil-carbon consumption.

POWER. COOL. CAPTURE. RECYCLE. REPEAT.

CEWT is developing an integrated 20 MW net CRT Trigeneration platform for high-density AI and data-centre infrastructure. The architecture treats firm power, thermal energy, cooling, carbon and water as connected resources – not separate problems.

Carbon Recycling Becomes an Energy Asset

DON’T JUST CAPTURE CARBON. RECYCLE IT.

Conventional trigeneration can recover useful heat from onsite power generation. CRT goes further. Captured CO₂ is combined with renewable hydrogen to regenerate methane. The methanation reaction is exothermic, creating an additional thermal stream that can be recovered and integrated with cooling.

Why waste heat when AI needs cooling?

The additional heat created while closing the carbon loop can become a cooling asset rather than a rejected waste stream. At a screening absorption-chiller COP of 0.70, the theoretical 8.9 MWth methanation stream represents up to about 6.2 MW of incremental cooling potential before practical heat-recovery, temperature-grade and equipment losses are applied.

DEFOSSILISATION IS NOT ONLY A CARBON BENEFIT.
IN CRT, CLOSING THE CARBON LOOP CREATES AN ADDITIONAL ENERGY-INTEGRATION OPPORTUNITY.

*Screening/design-basis figures. Final recoverable heat, temperature grade, cooling output and equipment performance remain subject to vendor validation and detailed integration engineering.

Cooling and Water Designed Together

DON’T USE VALUABLE WATER UNNECESSARILY TO REJECT VALUABLE HEAT.

High-density AI infrastructure is increasingly a power-and-cooling problem. CRT is designed to use recovered process heat productively and to minimise consumptive water demand through an integrated cooling and heat-rejection strategy.

Resource accountability

ENERGY  →  CARBON  →  HEAT  →  COOLING  →  WATER

Every MW has a destination.  Every carbon molecule has a destination.
Every unit of recoverable heat has a purpose.  Every litre of water has a pathway.

From Fossil Carbon Consumption to Carbon Circulation

THE OBJECTIVE IS NOT TO ELIMINATE THE CARBON MOLECULE.
IT IS TO ELIMINATE THE CONTINUOUS CONSUMPTION OF FOSSIL CARBON.

CEWT CRT integrates firm onsite power, carbon recycling, thermal-energy recovery, cooling and water stewardship within a single architecture. The 20 MW platform is being developed for the next generation of AI infrastructure, where time-to-power, cooling capacity, carbon management and water availability must be addressed together.

DATA CENTRES NEED MORE THAN POWER.
THEY NEED AN ENERGY ARCHITECTURE DESIGNED FOR THE FUTURE.

Clean Energy and Water Technologies Pty Ltd (CEWT)
20 MW CRT Trigeneration for AI Data Centres

A recent S&P Global Energy report raises an important question for the next phase of carbon management.

The global CCUS pipeline now exceeds 1,000 million tonnes per annum, yet S&P Global estimates that only around 25% of reported 2030 capacity is likely to come online on schedule under its risk-adjusted methodology. 

Horizons Clean Energy Expansion Week 2026 – CCUS Report.pdf

One of the emerging differentiators is infrastructure.

Shared CO₂ transport and storage hubs are increasingly helping projects reach sanction, while projects without access to such infrastructure face greater execution risk. 

Horizons Clean Energy Expansion Week 2026 – CCUS Report.pdf

At the same time, another major change is occurring.

S&P Global identifies rapidly growing data-centre electricity demand as a new use case for reliable gas-fired generation combined with carbon capture, estimating that data centres could account for approximately 10% of incremental global power demand by 2030. 

Horizons Clean Energy Expansion Week 2026 – CCUS Report.pdf

This raises a broader engineering question:

If we capture CO₂ from firm power generation, must we always transport and permanently store it?

Or, where renewable hydrogen is available, can some captured CO₂ instead become a carbon resource—converted back into a fuel, used for firm power generation, captured again and recycled?

The distinction is important.

CCS: Capture → Transport → Storage

Carbon Recycling: Capture → Conversion with renewable H₂ → Reuse → Capture again

Carbon recycling does not eliminate the energy requirement. Renewable hydrogen must provide the energy required to regenerate the fuel, and the complete mass and energy balance must be economically justified.

But where CO₂ transport and geological storage are difficult, and where firm power, heat, cooling and carbon management are required together, carbon recycling deserves serious consideration alongside conventional CCS.

Perhaps the next stage of carbon management is not simply asking:

“How much CO₂ can we capture?”

but also:

“What should we do with the carbon after we capture it?”

Carbon is an element. Its sustainability depends on how we manage its cycle.

#CarbonCapture #CCUS #CarbonRecycling #Hydrogen #DataCentres #FirmPower #CircularEconomy #EnergyTransition #PowerToX #Sustainability

A great deal of climate discussion uses the words capture, removal, and recycling almost interchangeably.

From a process-engineering perspective, they describe very different things.

Carbon capture asks:

Can we separate CO₂ from an industrial gas stream before it reaches the atmosphere?

That is an important first step. But capture alone does not answer the next question:

Where does the captured carbon go?

If it is compressed, transported, and permanently stored underground, we have created a carbon capture and storage pathway.

Carbon removal asks a different question:

Can we remove CO₂ that is already in the atmosphere?

Direct Air Capture, enhanced mineralisation, and biological approaches are examples. Again, the carbon needs a final destination after it has been removed.

Carbon recycling asks something fundamentally different:

Can we prevent carbon from becoming a one-way material flow in the first place?

Consider methane used for energy:

CH_4 \rightarrow Energy \rightarrow CO_2

In the conventional system, the carbon journey effectively ends with CO₂ entering the atmosphere, being captured for storage, or requiring subsequent removal.

But CO₂ still contains the carbon atom that originally entered as methane.

If we supply renewable hydrogen:

CO_2 + 4H_2 \rightarrow CH_4 + 2H_2O

The carbon can be returned to methane and used again.

The pathway becomes:

CH₄ → Energy → CO₂ → CH₄ → Energy → CO₂ → CH₄

Now carbon is being treated as a circulating process material, while renewable hydrogen supplies new energy to the cycle.

The same question applies to industrial syngas.

If carbon monoxide is used as a reducing agent:

FeO + CO \rightarrow Fe + CO_2

The process may have successfully reduced the iron oxide, but the carbon has not disappeared.

It has simply moved from CO to CO₂.

So describing a process as using syngas does not, by itself, tell us whether the carbon problem has been solved.

We still have to ask:

What happens to the CO₂?

This is why CEWT believes carbon accounting should be approached in much the same way as a chemical engineer approaches a mass balance.

Draw a boundary around the process.

Identify every carbon-containing feed.

Identify every carbon-containing product.

Identify every recycle stream.

Identify every purge, vent, and fugitive loss.

Then close the carbon balance.

This leads to a very simple distinction:

Carbon capture separates the carbon.

Carbon removal retrieves carbon from the atmosphere.

Carbon recycling gives captured carbon another useful cycle.

None should be confused with the others, and each may have a role.

But for industrial processes, perhaps the first question should be even simpler:

Does every carbon atom entering the process have a defined destination?

If we cannot answer that question, the carbon balance is not yet closed.

At CEWT, that is the principle behind our Carbon Recycling Technology:

Every molecule has a destination.

Carbon should be no exception.

Why the next generation of AI data centres may need to be designed together with their energy infrastructure

Ahilan Raman | Managing Director, Clean Energy and Water Technologies Pty Ltd (CEWT)

The global AI race is usually discussed in terms of GPUs, models, semiconductor supply and computing capacity.

But another constraint is rapidly becoming just as important:

Where will the megawatts come from — and how quickly can they be delivered?

An AI data centre can increasingly be constructed using repeatable, modular infrastructure. The electricity network supplying it operates on a very different development timescale.

That mismatch is beginning to reshape data-centre engineering.

The power system is becoming part of the data centre

Australia provides a particularly interesting example.

AEMO reported that, by the end of the March 2026 quarter, 11 large data-centre projects above 5 MW, representing 5.4 GW of maximum demand, were already progressing through the National Electricity Market transmission-connection process. Around 40% of that capacity was in Victoria. AEMO said current experience suggested approximately a two-year application-to-energisation timeframe, although individual projects vary.

The policy direction is also changing.

In August, the Australian Energy Market Commission recommended that data centres should bring new clean, firm capacity, operate flexibly and make efficient use of the network. It specifically identified co-location with generation as one way of reducing network pressure.

This points toward an important change in thinking.

Instead of treating electricity as a utility connection that is considered after the data centre has been designed, perhaps the data centre and its energy system increasingly need to be engineered as one infrastructure project.

Why 20 MW is an interesting scale

Not every AI facility needs to begin as a 500 MW or 1 GW hyperscale campus.

There is growing evidence for modular deployment at much smaller increments.

Australian developer QORINAI describes a delivered modular project comprising eight transportable 2.5 MW modules, with capacity contracted in stages from 1.9 MW to 20 MW over five months. Its current development model describes repeatable campus blocks of approximately 10–50 MW, with dedicated substations, cooling plants and data halls.

That is significant.

A 20 MW facility is large enough to support substantial AI computing infrastructure, but still small enough to consider a dedicated energy island and staged deployment.

And there is no reason that the modularity of the computing infrastructure must correspond exactly with the modularity of the power plant.

A data centre might comprise several independently deployable computing blocks while a multiple-engine power island feeds a common electrical bus.

Modularity should occur where it makes engineering and commercial sense — not because every subsystem must have the same module size.

AI is also changing cooling

Increasing rack densities are making the old distinction between electrical infrastructure and cooling infrastructure less useful.

QORINAI, for example, is designing Australian AI infrastructure around direct-to-chip liquid cooling and cites design points as high as 250 kW per rack.

As rack density rises, cooling becomes an increasingly important part of the total energy balance.

That raises another engineering question:

Why design power generation and cooling independently if the power plant is simultaneously producing useful thermal energy?

A conventional assessment may look primarily at electrical efficiency.

A trigeneration assessment asks a broader question:

What useful outputs can we obtain from every unit of primary energy entering the system?

Electricity is one output.

Recoverable heat is another.

Cooling produced from otherwise recoverable thermal energy can become a third.

For AI infrastructure, that distinction matters.

Behind-the-meter power is moving into the mainstream

The trend is already visible internationally.

Reuters reported in late September that demand for smaller gas turbines is rising as data-centre developers pursue rapid behind-the-meter generation to avoid grid-connection delays and long lead times for large turbines. Enverus projects 29.6 GW of behind-the-meter gas generation additions by 2030, with data centres accounting for 88% of that capacity.

A few days later, Enerflex announced a contract to engineer and assemble 450 MW of behind-the-meter natural-gas generation for a North American data-centre developer.

The attraction is straightforward.

Instead of asking:

“When will the grid be ready for my data centre?”

the developer can begin asking:

“Can I bring firm power to the data centre?”

But there is an important problem.

Simply moving conventional fossil generation behind the meter solves the time-to-power problem without necessarily solving the carbon problem.

That is where CEWT is exploring a different architecture.

Can the carbon itself be recycled?

At Clean Energy and Water Technologies, we are developing a 20 MW grid-independent Carbon Recycling Technology (CRT) Trigeneration concept for data-centre applications in Victoria’s Latrobe Valley.

The principle is different from simply installing gas engines beside a data centre.

Methane provides firm power.

The resulting carbon dioxide is captured.

Instead of treating that CO₂ purely as waste for disposal, CRT treats carbon as a circulating process material.

Captured CO₂ is combined with hydrogen-rich syngas and renewable hydrogen and converted back to methane through methanation.

The methane returns to power generation.

The carbon therefore circulates through:

Methane → Power → CO₂ → Methanation → Methane

Renewable hydrogen supplies new energy into that carbon cycle.

The objective is not to claim that carbon disappears.

Quite the opposite.

Every molecule of carbon must have a destination.

That requires a rigorous carbon ledger covering methane, CO, CO₂, recycle, inventory, purge, vents, and losses independently of the plant’s energy balance.

Trigeneration changes the system boundary

Our current 20 MW concept combines a multi-engine firm-power island with carbon recovery, H₂-rich syngas, renewable hydrogen and methanation.

But electricity is only part of the architecture.

Gas-engine thermal energy and the exothermic heat released during methanation represent potentially useful energy streams.

For a data centre, that heat can potentially support absorption cooling or other thermal services alongside conventional high-density liquid-cooling infrastructure.

The appropriate measure therefore becomes broader than generator electrical efficiency alone.

It becomes:

How much useful computing-supporting infrastructure can we obtain from each MW of primary energy?

That is a different optimisation problem.

Why Latrobe Valley matters

There is another reason we believe Latrobe Valley deserves attention.

The region is already attracting major data-centre interest.

Keppel has secured rights over a 123-hectare site near Hazelwood for a proposed data-centre campus with potential access to 720 MW of gross power. The Victorian Government identifies existing energy infrastructure, industrial land and access to sustainable raw water among the site’s advantages.

Latrobe City Council’s September update says the Hazelwood North project has not yet lodged its planning approval and that community consultation is expected later in 2026.

That is important context.

It suggests Latrobe Valley is not merely a former power-generation region searching for a new purpose.

It could become part of Australia’s next generation of energy-intensive digital infrastructure.

A smaller 20 MW project can play a different role from a 720 MW hyperscale campus.

It can demonstrate an alternative architecture.

From grid connection to energy platform

For decades, the conventional development sequence has effectively been:

Land → Grid Connection → Data Centre.

The emerging model could increasingly become:

Land → Firm Energy Platform → Data Centre → Grid Integration when appropriate.

That does not mean abandoning the electricity grid.

Nor does it mean every data centre should generate all of its own power.

It means recognising that time-to-power has become a fundamental project-design variable.

And once power generation moves closer to the computing load, engineers have an opportunity to reconsider the whole system: electricity, cooling, water, carbon, hydrogen, storage and waste heat.

For CEWT, the engineering philosophy remains straightforward:

Every MW must have a source and destination.

Every molecule must have a source and destination.

Every litre of water must have a pathway.

The AI infrastructure race may therefore not ultimately be won only by whoever has the most advanced GPUs.

It may also be won by those who can provide those GPUs with dependable megawatts, cooling and supporting infrastructure at the speed at which AI capacity needs to be deployed.

Time-to-power is becoming a design parameter.

And that may fundamentally change how we design the next generation of data centres.

Sources

• AEMO, “Digital demand surge”, 2026.
• Australian Energy Market Commission (AEMC), electricity/data-centre policy developments, 2026.
• QORINAI, Australian AI data-centre and modular infrastructure information.
• Reuters, reporting on behind-the-meter gas generation for data centres, September 2026.
• Enerflex, behind-the-meter generation project announcement, 2026.
• ABC News, reporting on Keppel’s proposed Latrobe Valley/Hazelwood data-centre development, January 2026.
• Latrobe City Council, Proposed Developments in Our Region, September 2026.