Log in

Computing optimal carbon dioxide removal portfolios

  • Correspondence
  • Published:

From Nature Computational Science

View current issue Submit your manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Fig. 1: Modeling framework for supporting large-scale NET deployment.

References

  1. IPCC: Summary for Policymakers. In Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (eds Shukla, P. R. et al.) (Cambridge University Press, 2022).

  2. Creutzig, F. et al. Energy Environ. Sci. 12, 1805–1817 (2019).

    Article  Google Scholar 

  3. Galán-Martín, Á. et al. Nat. Commun. 12, 6490 (2021).

    Article  Google Scholar 

  4. Hilaire, J. et al. Clim. Change 157, 189–219 (2019).

    Article  Google Scholar 

  5. IPCC: Summary for Policymakers. In Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (eds Pörtner, H.-O. et al.) (Cambridge University Press, 2022).

  6. Smith, P. et al. Annu. Rev. Environ. Resour. 44, 255–86 (2019).

    Article  Google Scholar 

  7. Rickels, W. et al. Environ. Res. Lett. 14, 104004 (2019).

    Article  Google Scholar 

  8. Strefler, J. et al. Environ. Res. Lett. 16, 074021 (2021).

    Article  Google Scholar 

  9. Tan, R. R. et al. Resour. Conserv. Recycl. 153, 104540 (2020).

    Article  Google Scholar 

  10. Foo, D. C. Y. & Tan, R. R. Process Saf. Environ. Prot. 103, 291–307 (2016).

    Article  Google Scholar 

  11. Tan, R. R. et al. Renew. Sust. Energ. Rev. 113, 109258 (2019).

    Article  Google Scholar 

  12. Migo-Sumagang, M. V. et al. Clean. Eng. Technol. 9, 100507 (2022).

    Article  Google Scholar 

  13. Aviso, K. B. et al. J. Ind. Prod. Eng. 8, 573–580 (2021).

    Google Scholar 

  14. Bertram, C. & Merk, C. Front. Clim. 2, 594194 (2020).

    Article  Google Scholar 

  15. Kong, K. G. H. et al. Curr. Opin. Chem. Eng. 31, 100665 (2021).

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by The British Council Japan under the COP26 Trilateral Research Initiative. M.V.M.-S. received additional support from the Department of Science and Technology of the Philippines via the ERDT scholarship program.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to conceptualizing and writing the paper; D.C.Y.F. and M.V.M.-S. prepared the figure.

Corresponding author

Correspondence to Raymond R. Tan.

Ethics declarations

Competing interests

The authors declare no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tan, R.R., Aviso, K.B., Foo, D.C.Y. et al. Computing optimal carbon dioxide removal portfolios. Nat Comput Sci 2, 465–466 (2022). https://doi.org/10.1038/s43588-022-00286-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s43588-022-00286-1

  • Springer Nature America, Inc.

Navigation