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TECHNOLOGY

The next phase of carbon capture is centred on technology-driven solutions such as Direct Air Capture (DAC) and innovative biochar methodologies, both of which are advancing efforts to reduce carbon footprints. As climate challenges intensify and the global decarbonisation movement accelerates, digital tools, including the use of digital twins for capture processes, are reshaping the CCUS landscape. These secure, interconnected data environments enable stakeholders in energy production, the heavy industries, and research institutions to streamline operations, optimise costs, and reduce environmental impacts. At the same time, open-source platforms are gaining traction due to their ability to foster collaboration and accelerate the development of future-ready projects that address both emissions reduction and economic viability.

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How CCUS Is Transforming Industries

CCUS is thriving, influenced by evolving market dynamics and a surge in technology adoption. As supply chains grow more fragile and the urgency to decarbonise energy systems, production, and material processing increases, the industries require more flexible yet robust carbon capture solutions. To meet these demands, advanced modelling, AI-driven analytics, and real-time monitoring are integrated into industrial infrastructure to enhance efficiency and productivity, allowing businesses to respond swiftly to shifting policies and regulations. Low-code and open-source applications, once considered emerging technologies, are now accelerating the development of large-scale CCUS projects, resulting in greater agility and adaptability. Meanwhile, human-machine collaboration, particularly in automated monitoring and data-driven strategic choices, is advancing, providing actionable insights that shape growth strategies and future outlooks for companies committed to reducing their carbon footprints.

Digital Twins and New Opportunities

Organizations are increasingly using digital twins to design, test, and optimize CCUS initiatives before real-world deployment. This approach allows engineers and researchers to simulate everything from individual capture technologies to full industrial systems with high accuracy, helping reduce the risks tied to major capital investments. Secure data platforms also enable collaboration among stakeholders, supporting machine learning and new business opportunities. By bringing operational data into a single virtual environment, companies can better balance efficiency, cost, and emissions while maintaining strong cybersecurity, and can modernize existing infrastructure while reassessing policies to support the shift toward cleaner energy.

Continuation of CCUS

This new chapter in CCUS is defined by breakthroughs, from advanced capture systems that surpass earlier designs to AI-driven recommendations that optimise capture rates and storage methods. It also marks a shift in policy, with governments, financiers, and global corporations now backing ambitious projects to accelerate carbon sequestration. However, these advancements introduce new challenges, including the need to safeguard intellectual property and implement robust cybersecurity measures. Carbon Capture Australia 2026 will highlight these emerging opportunities, showing how CCUS is shaped by advanced research, evolving macroeconomic trends, and the ongoing drive to enhance efficiency, boost productivity, and support innovations. Beyond the technology itself, one factor remains central to success: effective collaboration. Energy providers, the heavy industries, policymakers, and research institutions must work together to establish a future-ready path towards a lower-carbon world.

our sponsors

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Carbonable
EnRUD Resources, Inc
Fluor BV (3)
Honeywell UOP
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Topics on the agenda

FROM GAS TO ROCK: THE APPLICATION OF CARBON MINERALISATION AS A CCUS APPROACH

Day 1: undefined

12:00 - 12:25

SCALING CCS: TECHNO-ECONOMIC CHALLENGES AND OPPORTUNITIES

Day 1: undefined

13:30 - 13:55

SCALING ELECTROFUELS: AN INTEGRATED APPROACH TO AFFORDABLE CARBON CAPTURE AND UTILISATION

Day 1: undefined

14:00 - 14:25

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