Heriot-Watt University is at the forefront of groundbreaking artificial intelligence techniques that could revolutionize carbon capture and storage technologies. The multimillion-pound ECO-AI research project, spearheaded by the university's net-zero focused global research institute iNetZ+, has achieved a remarkable milestone by reducing the modeling time for CCS methods from 100 days to a mere 24 hours using advanced AI simulators. This unprecedented acceleration paves the way for making CCS an economically viable option, enabling traditional industries such as steel, cement, and chemicals to decarbonize efficiently.
The £2.5 million ECO-AI project, funded by UK Research and Innovation, brings together an interdisciplinary team of experts from various fields, including chemical engineering, physics, geology, mathematics, computer science, and economics. In collaboration with colleagues from Imperial College London, the team aims to develop energy-efficient solvents for CO₂ capture and facilitate the permanent storage of captured CO₂ in deep geological formations through cutting-edge AI techniques. By harnessing the power of AI, researchers can replace standard modeling techniques for complex processes, reducing the time and costs associated with CCS research.
To further enhance the research efforts, Heriot-Watt University recently hosted a two-day workshop and three-day hackathon event, bringing together leading experts in AI, computational science, and CCS. The workshop emphasized the importance of interdisciplinary collaboration and explored the use of digital twins for net-zero emissions decision-making. The hackathon provided a platform for teams to develop AI-based solutions for challenges related to CO₂ capture, storage, and policy/economics. Participants showcased their enthusiasm and ingenuity as they coded and worked on developing AI models that could reshape the approach to CCS technologies.
Professor Ahmed H. Elsheikh, leader of the data and artificial intelligence research theme at iNetZ+, highlighted the project's focus on refining algorithms that can potentially be applied to CCS in the future, particularly in hard-to-decarbonize industries. The research has the potential to significantly advance existing scientific research streams, sourcing suitable options for the safe storage of CO₂ without consuming excessive energy or requiring expensive and time-consuming exploratory investigations. Professor Clare McCabe, co-leader of the project's carbon capture component, praised the optimism and energy displayed during the hackathon, where students and postdocs worked tirelessly on various AI models related to the ECO-AI project. Professor Gill Murray, Deputy Principal for Enterprise and Business at Heriot-Watt University, emphasized the university's commitment to innovate for the future and beyond, utilizing iNetZ+ as a vehicle to impact global solutions towards decarbonization. She stressed the importance of integrating research-informed teaching to shape the next generation of leaders and engineers, fostering a dynamic environment that cultivates a culture of innovation and excellence.
The ECO-AI project exemplifies Heriot-Watt University's dedication to harnessing the power of artificial intelligence to address the global climate crisis and accelerate the transition to a sustainable, carbon-neutral world. By pioneering groundbreaking methods in major sectors, the university aims to propel society toward a net-zero future. The project's success in drastically reducing the modeling time for CCS methods opens up new possibilities for making carbon capture and storage a viable economic option, enabling industries to decarbonize efficiently and effectively.
LSE: HWU
Current Price: £8.75
Change: +2.5%
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