Abstract
The decarbonization of shipping has become an important policy goal. While integrated assessment models (IAMs) are often used to explore climate mitigation strategies, they typically provide little information on international shipping, which accounts for emissions of around 0.7 GtCO2 yr−1. Here we perform a multi-IAM analysis of international shipping and show the potential for decreasing annual emissions in the next decades, with reductions of up to 86% by 2050. This is primarily achieved through the deployment of low-carbon fuels. Models that represent several potential low-carbon alternatives tend to show a deeper decarbonization of international shipping, with drop-in biofuels, renewable alcohols and green ammonia standing out as the main substitutes for conventional maritime fuels. While our results align with the 2018 emission reduction goal of the International Maritime Organization, their compatibility with the agency’s revised target is still subject to a more definitive interpretation.
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Data availability
The underlying data are available via Zenodo at https://doi.org/10.5281/zenodo.10815601 (ref. 70). Source data are provided with this paper.
Code availability
The models are documented on the common IAM documentation website (https://www.iamcdocumentation.eu/index.php/IAMC_wiki). Some of them have published open-source code (for example, WITCH, https://github.com/witch-team/witchmodel). For a brief documentation of the models and main concepts, see Supplementary Sections 2 and 3.
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Acknowledgements
E.M.-C., F.L., M.v.d.B., P.F., O.D., H.N., R.D., T.L.G., I.S.T., I.T., J.E., L.B.B., D.P.v.V., A.G., L.D., J.P.-P., H.-S.d.B., N.T., P.R.R.R., A.S. and R.S. received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements 821124 (NAVIGATE) and 821471 (ENGAGE). E.M.-C., R.D., L.B.B., A.S. and R.S. were also supported by the Brazilian National Council for Scientific and Technological Development (CNPq). F.L. has benefited from the support of the long-term modelling chair for sustainable development (Ponts ParisTech–Mines ParisTech) funded by ADEME, GRTgaz, Schneider Electric, EDF and the French Ministry of Environment. P.F. also received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 101003866 (NDC-ASPECTS).
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E.M.-C., P.R.R.R., A.S. and R.S. conceptualized the study and coordinated the design of scenarios. F.L., P.F., D.P.v.V. and J.P.-P. provided key input for the research question and article structure. E.M.-C., R.D., L.B.B. and P.R.R.R. performed the COFFEE model runs. F.L. and T.L.G. performed the IMACLIM-R model runs. M.v.d.B., I.S.T., D.P.v.V. and H.-S.d.B. performed the IMAGE model runs. P.F., I.T., A.G. and N.T. performed the PROMETHEUS model runs. O.D. performed the TIAM-UCL model runs. H.N., J.E. and L.D. performed the WITCH model runs. E.M.-C., R.D., L.B.B. and P.R.R.R. organized and standardized the results. E.M.-C. led the writing process, to which P.F., D.P.v.V., J.P.-P., A.S. and R.S. also contributed considerably. All other authors engaged in review and editing. E.M.-C. and T.L.G. conceptualized and produced the main figures. E.M.-C. and A.S. edited the Article according to reviewer comments. E.M.-C. and R.S. were responsible for the executive coordination.
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Nature Climate Change thanks Patricia Fortes, Paula Pereda and Runsen Zhang for their contribution to the peer review of this work.
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Extended data
Extended Data Fig. 1 Overview of the modelling strategy.
Categorization of energy carriers: Conv – conventional maritime fuels; Oilseed – oilseed-based biofuels; D-synt bio – drop-in synthetic biofuels; D-synt other – other synthetic drop-in fuels; AG-fos – fossil alcohols and gases; AG-bio – bio-alcohols and biogases; AG-synt – Synthetic alcohols and gases; H2/NH3 – Hydrogen and ammonia; Elec – electricity.
Supplementary information
Supplementary Information
1. Context. 2. Short description of global IAMs and their approach to international shipping. 3. Shipping and fuel production modelling across IAMs. 4. Comparison of adopted carbon budgets with the Sixth Assessment Report of the IPCC. 5. Detailed results for BECCS. 6. Fuel aggregation. 7. Detailed results for Europe.
Source data
Source Data Fig. 1
International shipping emissions. Energy intensity. Vessel survival rate. Average age of the merchant fleet.
Source Data Fig. 2
Global CO2 emissions indexed to 2020. Global primary energy across models and scenarios.
Source Data Fig. 3
International shipping activity indexed to 2020. International shipping emission variation in 2050 relative to 2020. International shipping emission variation in 2070 relative to 2020.
Source Data Fig. 4
Fleet energy intensity. Final energy emission factor. International shipping carbon intensity.
Source Data Fig. 5
Fossil share across models. International shipping final energy mix.
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Müller-Casseres, E., Leblanc, F., van den Berg, M. et al. International shipping in a world below 2 °C. Nat. Clim. Chang. (2024). https://doi.org/10.1038/s41558-024-01997-1
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DOI: https://doi.org/10.1038/s41558-024-01997-1