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The role of policy and module manufacturing learning in industrial decarbonization by small modular reactors

Abstract

Small modular reactors (SMRs) offer a unique solution to the challenge of decarbonizing mid- and high-temperature industrial processes. Here we develop deployment pathways for four SMR designs displacing natural gas in industrial heat processes at 925 facilities across the United States under diverse policy and factory or onsite learning conditions. We find that widespread SMR deployment in industry requires gas prices above US$6 per metric million British thermal unit, low capital cost over-runs and/or aggressive carbon taxes. At gas prices of US$6–10 per metric million British thermal unit, 7–55 gigawatt-thermal (GWt) of SMRs could be economically deployed by 2050, reducing annual emissions by up to 59 Mt of CO2-equivalent. Of this deployment, 2–24 GWt rely on module manufacturing learning within a factory. Widespread deployment potential hinges on avoiding substantial cost escalation for early investments. Policy levers such as direct subsidies are not effective at incentivizing sustainable deployment, but aggressive carbon taxes and investment tax credits provide effective support for SMR success.

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Fig. 1: Existing policy SMR deployment results through 2050.
Fig. 2: Cumulative deployment of SMRs given a range of competing fuel prices and a range of FOAK cost escalations.
Fig. 3: Impact of policy measures on SMR deployment.
Fig. 4: Impact of learning rate variation on SMR deployment pathways.

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Data availability

The formatted data we used for industrial thermal demands are available via Zenodo at https://doi.org/10.5281/zenodo.11176520 (ref. 61).

Code availability

The Python code that we use for this analysis, and that is described in Supplementary Information, is available via Zenodo at https://doi.org/10.5281/zenodo.11176520 (ref. 61).

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Acknowledgements

For funding, we thank Idaho National Laboratory’s Emerging Energy Markets Analysis initiative and the US Department of Energy Office of Nuclear Energy’s Nuclear Energy University Program under contract number DE-NE0008976.

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Contributions

M.V.: methodology; software; analysis; data curation; writing—original draft; writing—review and editing; visualization; W.R.S.: methodology; writing—review and editing. M.T.C.: conceptualization; methodology; writing—review and editing; supervision; project administration; funding acquisition.

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Correspondence to Max Vanatta.

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Nature Energy thanks Shannon Bragg-Sitton and Mark Ruth for their contribution to the peer review of this work.

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Extended data

Extended Data Fig. 1 Geographic and industry type specific distribution of small modular reactor (SMR) deployment across natural gas competition price.

a) Map of installed SMRs at industrial facilities by 2050 differentiated by installed capacity (symbol size), SMR design (color), and natural gas price (symbol). b) Heatmap of cumulative installed SMR capacity per industry up to 2050. Reactor key: pressurized water reactor (iPWR), pebble-bed high temperature gas reactor (PBR-HTGR), very high temperature reactor (VHTR). State outline shapefile credit Commission for Environmental Cooperation (CEC). 2022. ‘North American Atlas – Political Boundaries’. Statistics Canada, United States Census Bureau, Instituto Nacional de Estadística y Geografía (INEGI). Ed. 3.0, Vector digital data [1:10,000,000].

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Supplementary Figs. 1–5 and Tables 1–7. Supplementary discussion and methods are also provided.

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Vanatta, M., Stewart, W.R. & Craig, M.T. The role of policy and module manufacturing learning in industrial decarbonization by small modular reactors. Nat Energy 10, 77–89 (2025). https://doi.org/10.1038/s41560-024-01665-w

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