However, there is a new development. Thanks to the bright minds at Heriot-Watt University's world-class research institute on net zero, AI is now reducing the time and cost of modeling carbon CCS methods.
What is CCS?
CCS is a technology designed to capture CO₂ emissions produced by the combustion of fossil fuels in power generation and industrial processes, preventing them from entering the atmosphere where they contribute to global warming and climate change. Masu.
CCS is an important technology for mitigating climate change because it allows industry to continue using fossil fuels while reducing carbon emissions. In addition to this, it could play an important role in achieving global climate goals by limiting carbon dioxide concentrations in the atmosphere and mitigating the effects of climate change.
How Heriot-Watt University is revolutionizing CCS with AI
Traditionally, the process of simulating the feasibility and effectiveness of CCS in a specific location has been a painstaking process, often requiring up to three months of research and analysis.
But now, thanks to a visionary team of researchers known as iNetZ+, including chemical engineers, physicists, geologists, mathematicians, computer scientists, and economists, that paradigm is about to change dramatically. Masu.
Professor Ahmed H. El-Sheikh, Data and Artificial Intelligence Research Theme Leader at iNetZ+, said the team's research is primarily focused on improving algorithms that can be applied to CCS in industries that are generally difficult to decarbonize. I explained.
