As climate change continues to accelerate, many scientists are increasingly worried that the world will not be able to reduce its reliance on fossil fuels quickly enough to meaningfully avert worst-case scenarios. Carbon capture and storage (CCS) technologies, which would remove carbon dioxide from the atmosphere and store it have been hotly discussed and prototyped as an additional method of drawing down the greenhouse gas concentration in the atmosphere; however, to date, they have never been successfully scaled up for production use. Now, a researcher in the University of Texas at Austin’s Bureau of Economic Geology has applied the power of supercomputing to investigate how CCS technology can be optimized for scale-up.
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