New research conducted by academics at the University of Surrey suggests AI may help revolutionize carbon capture technology.
The climate solution is one that industry and other heavy emitters around the world are betting on to help decarbonize their operations and mitigate CO2 emissions, so the prospect of radically reducing its energy consumption would greatly help roll it out at a faster rate.
The new research that has just become available shows that AI models could help optimize the performance of carbon capture, by both reducing its energy use and increasing the amount of captured CO2 at the same time, according to Surrey university professor Jin Xuan.
Namely, the researchers claim that with the help of AI models, they could potentially slash the energy used by a carbon capture unit at a coal-fired power plant by more than a third.
Furthermore, the same unit could also end up capturing as much as 18% more carbon dioxide emissions.
The new research is released just in the knick of time, as the UK government prepares to develop carbon capture clusters in the Humber and Scotland, as announced last year.
These clusters are to be formed by major industrial sites, which will be equipped with carbon capture technology that is to be predominantly powered by renewable energy sources available on site.
However, due to weather changes, switching to power from the grid will be inevitable from time to time, which is where Surrey university’s AI models come into play, as these can take available energy into account, along with plant output and other important factors that will help mitigate this issue.