Speeding the search for better carbon capture

(Phys.org) -- A computer model that can identify the best molecular candidates for removing carbon dioxide, molecular nitrogen and other greenhouse gases from power plant flues has been developed by researchers with the U.S. Department of Energy (DOE)’s Lawrence Berkeley National Laboratory (Berkeley Lab), the University of California (UC) Berkeley and the University of Minnesota. The model is the first computational method to provide accurate simulations of the interactions between flue gases and a special variety of the gas-capturing molecular systems known as metal-organic frameworks (MOFs). It should greatly accelerate the search for new low-cost and efficient ways to burn coal without exacerbating global climate change.

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