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      Climate change mitigation potential of carbon capture and utilization in the chemical industry

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          Abstract

          Chemical production is set to become the single largest driver of global oil consumption by 2030. To reduce oil consumption and resulting greenhouse gas (GHG) emissions, carbon dioxide can be captured from stacks or air and utilized as alternative carbon source for chemicals. Here, we show that carbon capture and utilization (CCU) has the technical potential to decouple chemical production from fossil resources, reducing annual GHG emissions by up to 3.5 Gt CO 2-eq in 2030. Exploiting this potential, however, requires more than 18.1 PWh of low-carbon electricity, corresponding to 55% of the projected global electricity production in 2030. Most large-scale CCU technologies are found to be less efficient in reducing GHG emissions per unit low-carbon electricity when benchmarked to power-to-X efficiencies reported for other large-scale applications including electro-mobility (e-mobility) and heat pumps. Once and where these other demands are satisfied, CCU in the chemical industry could efficiently contribute to climate change mitigation.

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          Most cited references32

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          Sustainable Conversion of Carbon Dioxide: An Integrated Review of Catalysis and Life Cycle Assessment

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            Catalysis for CO2 conversion: a key technology for rapid introduction of renewable energy in the value chain of chemical industries

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              Carbon capture, storage and utilisation technologies: A critical analysis and comparison of their life cycle environmental impacts

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                Author and article information

                Journal
                Proceedings of the National Academy of Sciences
                Proc Natl Acad Sci USA
                Proceedings of the National Academy of Sciences
                0027-8424
                1091-6490
                May 13 2019
                : 201821029
                Article
                10.1073/pnas.1821029116
                6561304
                31085651
                a1d9b0cd-fb68-49b0-b605-e19879deb8f5
                © 2019

                Free to read

                https://www.pnas.org/site/aboutpnas/licenses.xhtml

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