A new computer model can identify the best molecular candidates for removing carbon dioxide, molecular nitrogen, and other greenhouse gases from power plant flues.
“MOFs have an extremely large internal surface area and, compared to other common adsorbents, promise very specific customization of their chemistry and could dramatically lower parasitic energy costs in coal-burning power plants,” says Berend Smit, of the Berkeley Lab’s Materials Sciences Division and University of California, Berkeley.
“However, there are potentially millions of variations of MOFs and since from a practical standpoint we can only synthesize a very small fraction of these materials, the search for the right ones could take years. Our model saves this time by enabling us to synthesize only those that are most ideal.”
Full story at Futurity.
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Photo credit: UC Berkeley