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Abstract
Removing carbon dioxide (CO2) from the atmosphere is required for mitigating climate change. Large-scale direct air capture combined with injecting CO2 into geological formations could retain carbon long-term, but demands a substantial amount of energy, pipeline infrastructure, and suitable sites for gaseous storage. Here, we study Earth system impacts of modular, sun-powered process chains, which combine direct air capture with (electro)chemical conversion of the captured CO2 into liquid or solid sink products and subsequent product storage (sDACCCS). Drawing on a novel explicit representation of CO2 removal in a state-of-the-art Earth system model, we find that these process chains can be renewably powered and have minimal implications for the climate and carbon cycle. However, to stabilize the planetary temperature two degrees above pre-industrial levels, CO2 capturing, conversion, and associated energy harvest demand up to 0.46% of the global land area in a high-efficiency scenario. This global land footprint increases to 2.82% when assuming present-day technology and pushing to the bounds of removal. Mitigating historical emission burdens within individual countries in this high-removal scenario requires converting an area equivalent to 40% of the European Union's agricultural land. Scenarios assuming successful technological development could halve this environmental burden, but it is uncertain to what degree they could materialize. Therefore, ambitious decarbonization is vital to reduce the risk of land use conflicts if efficiencies remain lower than expected.
DOI
https://doi.org/10.31223/X5N713
Subjects
Environmental Sciences, Other Environmental Sciences
Keywords
Dates
Published: 2024-10-29 13:40
Last Updated: 2024-10-29 20:40
License
CC-BY Attribution-NonCommercial-ShareAlike 4.0 International
Additional Metadata
Data Availability (Reason not available):
MPI-ESM is licensed under the MPI-ESM Software License Agreement, a free, non-commercial, and personalized license and can be obtained at https://code.mpimet.mpg.de/projects/mpi- esm-license. Extensions to represent sDACCCS process chains in MPI-ESM can be made avail- able separately upon request. Code reproducing the figures of the manuscript and the supple- mentary material will be made available on GitHub (https://github.com/paleovar/) and, along with relevant model output, on Zenodo.
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