Data availability
Historical and future energy consumption data are available from IEA Energy Statistics (https://www.iea.org/data-and-statistics) and the IPCC AR6 database (https://data.ene.iiasa.ac.at/ar6/), respectively. Multiple trade flow datasets were collected from the Global Trade Analysis Project database version 11 (https://www.gtap.agecon.purdue.edu/databases/v11/), UNCTAD statistics (https://unctadstat.unctad.org/EN/) and the United Nations Comtrade Database (https://comtradeplus.un.org/). Fossil fuel and critical material reserves data were taken from the BP Statistical Review of World Energy (https://www.bp.com) and US Geological Survey (https://www.usgs.gov/centers/national-minerals-information-center/commodity-statistics-and-information), respectively. The datasets for extended data are available via figshare at https://doi.org/10.6084/m9.figshare.28466435.v1 (ref. 73).
Code availability
The code used to manipulate the data and generate the results is available via Zenodo at https://doi.org/10.5281/zenodo.8165867 (ref. 66).
References
Ang, B. W., Choong, W. L. & Ng, T. S. Energy security: definitions, dimensions and indexes. Renew. Sustain. Energy Rev. 42, 1077–1093 (2015).
Le, T.-H. & Nguyen, C. P. Is energy security a driver for economic growth? Evidence from a global sample. Energy Policy 129, 436–451 (2019).
Guan, Y. et al. Burden of the global energy price crisis on households. Nat. Energy 8, 304–316 (2023).
Cherp, A. & Jewell, J. The concept of energy security: beyond the four As. Energy Policy 75, 415–421 (2014).
Sovacool, B. K. et al. Sustainable minerals and metals for a low-carbon future. Science 367, 30–33 (2020).
Jewell, J., Cherp, A. & Riahi, K. Energy security under de-carbonization scenarios: an assessment framework and evaluation under different technology and policy choices. Energy Policy 65, 743–760 (2014).
McCollum, D. L. et al. Climate policies can help resolve energy security and air pollution challenges. Clim. Change 119, 479–494 (2013).
Matsumoto, K. I., Doumpos, M. & Andriosopoulos, K. Historical energy security performance in EU countries. Renew. Sustain. Energy Rev. 82, 1737–1748 (2018).
Davis, S. J., Peters, G. P. & Caldeira, K. The supply chain of CO2 emissions. Proc. Natl Acad. Sci. USA 108, 18554–18559 (2011).
Yergin, D. The Prize: The Epic Quest for Oil, Money & Power (Free Press, 2011).
Sherwin, E. D., Henrion, M. & Azevedo, I. M. L. Estimation of the year-on-year volatility and the unpredictability of the United States energy system. Nat. Energy 3, 341–346 (2018).
Umar, M., Riaz, Y. & Yousaf, I. Impact of Russian-Ukraine war on clean energy, conventional energy, and metal markets: evidence from event study approach. Resour. Policy 79, 102966 (2022).
Liu, Z. et al. Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic. Nat. Commun. 11, 5172 (2020).
Clarke, L. et al. in Climate Change 2022: Mitigation of Climate Change (eds Shukla, P. R. et al.) Ch. 6 (Cambridge Univ. Press, 2022).
World energy outlook 2022. An updated roadmap to net zero emissions by 2050. International Energy Agency www.iea.org/reports/world-energy-outlook-2022 (2022).
Rogelj, J. et al. Energy system transformations for limiting end-of-century warming to below 1.5 °C. Nat. Clim. Chang. 5, 519–527 (2015).
DeAngelo, J. et al. Energy systems in scenarios at net-zero CO2 emissions. Nat. Commun. 12, 6096 (2021).
Renewable energy market update - May 2022. Outlook for 2022 and 2023. International Energy Agency www.iea.org/reports/renewable-energy-market-update-may-2022 (2022).
Valentine, S. V. Emerging symbiosis: renewable energy and energy security. Renew. Sustain. Energy Rev. 15, 4572–4578 (2011).
Lee, J. et al. Reviewing the material and metal security of low-carbon energy transitions. Renew. Sustain. Energy Rev. 124, 109789 (2020).
Olivetti, E. A., Ceder, G., Gaustad, G. G. & Fu, X. Lithium-ion battery supply chain considerations: analysis of potential bottlenecks in critical metals. Joule 1, 229–243 (2017).
Bazilian, M. D. The mineral foundation of the energy transition. Extr. Ind. Soc. 5, 93–97 (2018).
Owen, J. R. et al. Energy transition minerals and their intersection with land-connected peoples. Nat. Sustain. 6, 203–211 (2023).
Hund, K. L., La Porta, D., Fabregas, T. P., Laing, T. & Drexhage, J. R. Minerals for Climate Action: The Mineral Intensity of the Clean Energy Transition (World Bank Group, 2020).
The role of critical minerals in clean energy transitions. International Energy Agency www.iea.org/reports/the-role-of-critical-minerals-in-clean-energy-transitions (2022).
Global supply chains of EV batteries. International Energy Agency www.iea.org/reports/global-supply-chains-of-ev-batteries (2022).
Berdysheva, S. & Ikonnikova, S. The energy transition and shifts in fossil fuel use: the study of international energy trade and energy security dynamics. Energies 14, 5396 (2021).
Chaturvedi, V. Energy security and climate change: friends with asymmetric benefits. Nat. Energy 1, 16075 (2016).
Jewell, J. et al. Comparison and interactions between the long-term pursuit of energy independence and climate policies. Nat. Energy 1, 16073 (2016).
Toke, D. & Vezirgiannidou, S.-E. The relationship between climate change and energy security: key issues and conclusions. Environmental Politics 22, 537–552 (2013).
Chalvatzis, K. J. & Ioannidis, A. Energy supply security in the EU: benchmarking diversity and dependence of primary energy. Appl. Energy 207, 465–476 (2017).
van Vliet, O. et al. Synergies in the Asian energy system: climate change, energy security, energy access and air pollution. Energy Econ. 34, 470–480 (2012).
See AlsoIn Nigeria’s floating slum, ‘The Herds’ tour spotlights climate change where it's felt the mostRegional Climate Centers shut down abruptly this week. Here's why it mattersRollins overhauls, renames climate-smart commodities initiativeWhen helping can hurt: How efforts to adapt to climate change can backfire for vulnerable populationsViviescas, C. et al. Contribution of variable renewable energy to increase energy security in Latin America: complementarity and climate change impacts on wind and solar resources. Renew. Sustain. Energy Rev. 113, 109232 (2019).
Alemzero, D. A. et al. Assessing energy security in Africa based on multi-dimensional approach of principal composite analysis. Environ. Sci. Pollut. Res. Int. 28, 2158–2171 (2021).
Gulagi, A. et al. The role of renewables for rapid transitioning of the power sector across states in India. Nat. Commun. 13, 5499 (2022).
Oshiro, K., Kainuma, M. & Masui, T. Assessing decarbonization pathways and their implications for energy security policies in Japan. Climate Policy 16, 63–77 (2016).
Wang, B., Wang, Q., Wei, Y. M. & Li, Z. P. Role of renewable energy in China’s energy security and climate change mitigation: an index decomposition analysis. Renew. Sustain. Energy Rev. 90, 187–194 (2018).
Hamed, T. A. & Bressler, L. Energy security in Israel and Jordan: the role of renewable energy sources. Renewable Energy 135, 378–389 (2019).
Vieira, M. A. & Dalgaard, K. G. The energy-security–climate-change nexus in Brazil. Environmental Politics 22, 610–626 (2013).
Bang, G. Energy security and climate change concerns: triggers for energy policy change in the United States? Energy Policy 38, 1645–1653 (2010).
Jewell, J. et al. Energy security of China, India, the E.U. and the U.S. under long-term scenarios: results from six IAMs. Clim. Change Econ. 4, 1–33 (2014).
Brezina, I., Pekár, J., Čičková, Z. & Reiff, M. Herfindahl–Hirschman index level of concentration values modification and analysis of their change. Cent. Eur. J. Oper. Res. 24, 49–72 (2016).
Graedel, T. E., Harper, E. M., Nassar, N. T., Nuss, P. & Reck, B. K. Criticality of metals and metalloids. Proc. Natl Acad. Sci. USA 112, 4257–4262 (2015).
Byers, E. et al. AR6 scenarios database. Zenodo https://doi.org/10.5281/zenodo.5886911 (2022).
World energy outlook 2021. International Energy Agency www.iea.org/reports/world-energy-outlook-2021 (2022).
Latest statistics. United Nations Conference on Trade and Development https://unctadstat.unctad.org/EN (2025).
United Nations Statistics Division. United Nations Comtrade Database (United Nations, accessed 12 November 2024); https://comtradeplus.un.org/
National Minerals Information Center. U.S. Geological Survey mineral commodity summaries 2023 data release: U.S. Geological Survey data release (USGS, 2023, accessed 15 November 2024); https://doi.org/10.5066/P9WCYUI6
Statistical review of world energy. BP www.bp.com/en/global/corporate/energy-economics.html (2022).
Cheng, A. L., Fuchs, E. R. H., Karplus, V. J. & Michalek, J. J. Electric vehicle battery chemistry affects supply chain disruption vulnerabilities. Nat. Commun. 15, 2143 (2024).
Gilmer, D. B. et al. Additive manufacturing of strong silica sand structures enabled by polyethyleneimine binder. Nat. Commun. 12, 5144 (2021).
Tian, F. et al. Recent advances in electrochemical-based silicon production technologies with reduced carbon emission. Research 6, 0142 (2023).
Gabriel, D. et al. Natural Gas in Europe: The Potential Impact of Disruptions to Supply (International Monetary Fund, 2022).
Zakeri, B. et al. Pandemic, war, and global energy transitions. Energies 15, 6144 (2022).
Lei, Y. et al. Co-benefits of carbon neutrality in enhancing and stabilizing solar and wind energy. Nat. Clim. Change 13, 693–700 (2023).
Liu, L. et al. Climate change impacts on planned supply–demand match in global wind and solar energy systems. Nat. Energy 8, 870–880 (2023).
Panteli, M. & Mancarella, P. Influence of extreme weather and climate change on the resilience of power systems: impacts and possible mitigation strategies. Electr. Power Syst. Res. 127, 259–270 (2015).
Carley, S. & Konisky, D. M. The justice and equity implications of the clean energy transition. Nat. Energy 5, 569–577 (2020).
Żuk, P. & Żuk, P. National energy security or acceleration of transition? Energy policy after the war in Ukraine. Joule 6, 709–712 (2022).
Kalantzakos, S. China and the Geopolitics of Rare Earths (Oxford Univ. Press, 2017).
Amineh, M. P. & Houweling, H. Global energy security and its geopolitical impediments—the case of the Caspian region. Perspect. Glob. Dev. Technol. 6, 365–388 (2007).
Lebre, E. et al. The social and environmental complexities of extracting energy transition metals. Nat. Commun. 11, 4823 (2020).
Vera, M. L., Torres, W. R., Galli, C. I., Chagnes, A. & Flexer, V. Environmental impact of direct lithium extraction from brines. Nat. Rev. Earth Environ. 4, 149–165 (2023).
Franks, D. M., Keenan, J. & Hailu, D. Mineral security essential to achieving the Sustainable Development Goals. Nat. Sustain. 6, 21–27 (2022).
Ali, S. H. et al. Mineral supply for sustainable development requires resource governance. Nature 543, 367–372 (2017).
Cheng, J. et al. Code for ‘Trade risks to energy security in net-zero emissions energy scenarios’. Zenodo https://doi.org/10.5281/zenodo.8165867 (2025).
Arvesen, A., Birkeland, C. & Hertwich, E. G. The importance of ships and spare parts in LCAs of offshore wind power. Environ. Sci. Technol. 47, 2948–2956 (2013).
Jorge, R. S., Hawkins, T. R. & Hertwich, E. G. Life cycle assessment of electricity transmission and distribution—part 1: power lines and cables. Int. J. Life Cycle Assess. 17, 9–15 (2011).
Chen, Z., Kleijn, R. & Lin, H. X. Metal requirements for building electrical grid systems of global wind power and utility-scale solar photovoltaic until 2050. Environ. Sci. Technol. 57, 1080–1091 (2023).
Annual generator-level capacity information. Form EIA-860 detailed data with previous form data (EIA-860A/860B). US Energy Information Administration www.eia.gov/electricity/data/eia860/ (2024).
Aguilar Lopez, F., Lauinger, D., Vuille, F. & Muller, D. B. On the potential of vehicle-to-grid and second-life batteries to provide energy and material security. Nat. Commun. 15, 4179 (2024).
Xu, C. et al. Electric vehicle batteries alone could satisfy short-term grid storage demand by as early as 2030. Nat. Commun. https://doi.org/10.1038/s41467-022-35393-0 (2023).
Cheng, J. et al. Trade risks to energy security in net-zero emissions energy scenarios. figshare https://doi.org/10.6084/m9.figshare.28466435.v1 (2025).
Acknowledgements
We thank S. Wang for providing detailed data and suggestions on estimating the material demand of future net-zero technologies, and Y. Qiu and G. Iyer for helpful discussions. S.J.D. and J.C. acknowledge support from the ClimateWorks Foundation (grant no. UCI-22-2100). D.T. and Q.Z. acknowledge support from the National Natural Science Foundation of China (grant no. W2412154).
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Authors and Affiliations
Department of Earth System Science, Stanford University, Stanford, CA, USA
Jing Cheng&Steven J. Davis
Department of Earth System Science, Tsinghua University, Beijing, China
Dan Tong,Ruochong Xu&Qiang Zhang
School of Environment, Beijing Normal University, Beijing, China
Hongyan Zhao
College of Environmental Sciences and Engineering, Institute of Carbon Neutrality, Peking University, Beijing, China
Yue Qin
Precourt Institute for Energy, Stanford University, Stanford, CA, USA
Karan Bhuwalka
Gates Ventures, Kirkland, WA, USA
Ken Caldeira
Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA
Ken Caldeira
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Contributions
S.J.D., J.C., D.T. and Q.Z. designed the study. J.C., D.T., R.X., H.Z. and K.B. provided and processed multiple energy-, material-, reserve- and trade-related datasets; J.C. and S.J.D. developed the energy security assessment and developed future trade scenarios with input from K.C., K.B. and Y.Q.; J.C. performed the energy security calculations and sensitivity simulation; J.C., S.J.D. and D.T. wrote the paper with input from all co-authors. All authors reviewed the paper.
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Extended data
Extended Data Fig. 1 The share of critical material mass required by different electricity and transportation technologies.
The shares are estimated from mean values in published studies and reports (see Supplementary Table 1 for details).
Extended Data Fig. 2 Contrast geographic concentrations of fossil fuels and net-zero-transition-related materials in electricity (a) and transportation (b) sector.
Each circle represents an individual country, with the size for the projected installed renewable electricity capacities and colors for aggregated regions.
Extended Data Fig. 3 Regional and country-level changes in energy-security related trade risk due to changes in renewable energy, trade, material intensity, and recycling rates in EU and OECD.
Panels show regional and country-level changes in trade risk index (TRI) of the entire energy system from net-zero emissions (including assumptions of average net-zero emission energy system, current trade partners, current material intensity, and material recycling rate at net-zero emissions) to increases in the share of primary energy from renewables (a), increase in share of resource-owning countries that are trade partners (b), increase in material recycling rate (c), and decrease in material intensity of energy technologies (d). Each line represents an individual country in EU and OECD, with highlighted solid line indicating most populous countries (including U.S., France, U.K., Germany, Canada, Australia).
Extended Data Fig. 4 Regional and country-level changes in energy-security related trade risk due to changes in renewable energy, trade, material intensity, and recycling rates in East Europe and Russia.
Panels show regional and country-level changes in trade risk index (TRI) of the entire energy system from net-zero emissions (including assumptions of average net-zero emission energy system, current trade partners, current material intensity, and material recycling rate at net-zero emissions) to increases in the share of primary energy from renewables (a), increase in share of resource-owning countries that are trade partners (b), increase in material recycling rate (c), and decrease in material intensity of energy technologies (d). Each line represents an individual country in East Europe and Russia, with highlighted solid line indicating most populous countries (including Russia, Ukraine, Romania, Poland).
Extended Data Fig. 5 Regional and country-level changes in energy-security related trade risk due to changes in renewable energy, trade, material intensity, and recycling rates in Asia.
Panels show regional and country-level changes in trade risk index (TRI) of the entire energy system from net-zero emissions (including assumptions of average net-zero emission energy system, current trade partners, current material intensity, and material recycling rate at net-zero emissions) to increases in the share of primary energy from renewables (a), increase in share of resource-owning countries that are trade partners (b), increase in material recycling rate (c), and decrease in material intensity of energy technologies (d). Each line represents an individual country in Asia, with highlighted solid line indicating most populous countries (including China, India, Japan, Indonesia).
Extended Data Fig. 6 Regional and country-level changes in energy-security related trade risk due to changes in renewable energy, trade, material intensity, and recycling rates in Mid East and North Africa.
Panels show regional and country-level changes in trade risk index (TRI) of the entire energy system from net-zero emissions (including assumptions of average net-zero emission energy system, current trade partners, current material intensity, and material recycling rate at net-zero emissions) to increases in the share of primary energy from renewables (a), increase in share of resource-owning countries that are trade partners (b), increase in material recycling rate (c), and decrease in material intensity of energy technologies (d). Each line represents an individual country in Mid East and North Africa, with highlighted solid line indicating most populous countries (including Egypt, Saudi Arabia, Iraq, Iran).
Extended Data Fig. 7 Regional and country-level changes in energy-security related trade risk due to changes in renewable energy, trade, material intensity, and recycling rates in Latin America.
Panels show regional and country-level changes in trade risk index (TRI) of the entire energy system from net-zero emissions (including assumptions of average net-zero emission energy system, current trade partners, current material intensity, and material recycling rate at net-zero emissions) to increases in the share of primary energy from renewables (a), increase in share of resource-owning countries that are trade partners (b), increase in material recycling rate (c), and decrease in material intensity of energy technologies (d). Each line represents an individual country in Latin America, with highlighted solid line indicating most populous countries (including Brazil, Mexico, Colombia, Argentina).
Extended Data Fig. 8 Regional and country-level changes in energy-security related trade risk due to changes in renewable energy, trade, material intensity, and recycling rates in Sub-Saharan Africa.
Panels show regional and country-level changes in trade risk index (TRI) of the entire energy system from net-zero emissions (including assumptions of average net-zero emission energy system, current trade partners, current material intensity, and material recycling rate at net-zero emissions) to increases in the share of primary energy from renewables (a), increase in share of resource-owning countries that are trade partners (b), increase in material recycling rate (c), and decrease in material intensity of energy technologies (d). Each line represents an individual country in Sub-Saharan Africa, with highlighted solid line indicating most populous countries (including Nigeria, D.R.Congo, Ethiopia, South Africa).
Supplementary information
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Supplementary Figs. 1–18, Tables 1–16 and Text 1.
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Cheng, J., Tong, D., Zhao, H. et al. Trade risks to energy security in net-zero emissions energy scenarios. Nat. Clim. Chang. (2025). https://doi.org/10.1038/s41558-025-02305-1
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DOI: https://doi.org/10.1038/s41558-025-02305-1