IDEAS home Printed from https://ideas.repec.org/a/nat/natcli/v15y2025i1d10.1038_s41558-024-02193-x.html
   My bibliography  Save this article

Different technology packages for aluminium smelters worldwide to deliver the 1.5 °C target

Author

Listed:
  • Chang Tan

    (Tsinghua University)

  • Xiang Yu

    (University of Chinese Academy of Social Sciences
    Chinese Academy of Social Sciences)

  • Dan Li

    (China Nonferrous Metals Industry Association)

  • Tianyang Lei

    (University College London)

  • Qi Hao

    (Tsinghua University)

  • Dabo Guan

    (Tsinghua University
    University College London)

Abstract

Production of aluminium, one of the most energy-intensive metals, is challenging for mitigation efforts. Regional mitigation strategies often neglect the emissions patterns of individual smelters and fail to guide aluminium producers’ efforts to reduce GHG emissions. Here we build a global aluminium GHG emissions inventory (CEADs-AGE), which includes 249 aluminium smelters, representing 98% of global primary aluminium production and 280 associated fossil fuel-based captive power units. We find, despite the installation of more efficient and higher amperage cells, that the share of aluminium production powered by fossil fuel-based captive power units increased from 37% to 49% between 2012 and 2021. Retiring fossil fuel-based captive power plants 10 years ahead of schedule could reduce emissions intensity by 5.0–10.5 tCO2e per tonne of aluminium for dependent smelters. At least 18% of smelting capacity by 2040 and 67% by 2050 must be retrofitted with inert anode technology to achieve net-zero targets.

Suggested Citation

  • Chang Tan & Xiang Yu & Dan Li & Tianyang Lei & Qi Hao & Dabo Guan, 2025. "Different technology packages for aluminium smelters worldwide to deliver the 1.5 °C target," Nature Climate Change, Nature, vol. 15(1), pages 51-58, January.
  • Handle: RePEc:nat:natcli:v:15:y:2025:i:1:d:10.1038_s41558-024-02193-x
    DOI: 10.1038/s41558-024-02193-x
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41558-024-02193-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41558-024-02193-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hansi Liu & Sheng Zhou & Tianduo Peng & Xunmin Ou, 2017. "Life Cycle Energy Consumption and Greenhouse Gas Emissions Analysis of Natural Gas-Based Distributed Generation Projects in China," Energies, MDPI, vol. 10(10), pages 1-14, October.
    2. Li, Su-Yuan & Miao, Li-Juan & Jiang, Zhi-Hong & Wang, Guo-Jie & Gnyawali, Kaushal Raj & Zhang, Jing & Zhang, Hui & Fang, Ke & He, Yu & Li, Chun, 2020. "Projected drought conditions in Northwest China with CMIP6 models under combined SSPs and RCPs for 2015–2099," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11(3), pages 210-217.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Taihao Wang & Huadong Du & Zezheng Zhao & Zeming Zhou & Ana Russo & Hailing Xi & Jiping Zhang & Chengjun Zhou, 2022. "Prediction of the Impact of Meteorological Conditions on Air Quality during the 2022 Beijing Winter Olympics," Sustainability, MDPI, vol. 14(8), pages 1-13, April.
    2. Jianfei Shen & Fengyun Li & Di Shi & Hongze Li & Xinhua Yu, 2018. "Factors Affecting the Economics of Distributed Natural Gas-Combined Cooling, Heating and Power Systems in China: A Systematic Analysis Based on the Integrated Decision Making Trial and Evaluation Labo," Energies, MDPI, vol. 11(9), pages 1-28, September.
    3. Fei Wang & Yili Yu & Xinkang Wang & Hui Ren & Miadreza Shafie-Khah & João P. S. Catalão, 2018. "Residential Electricity Consumption Level Impact Factor Analysis Based on Wrapper Feature Selection and Multinomial Logistic Regression," Energies, MDPI, vol. 11(5), pages 1-26, May.
    4. Syeda Nadia Kiran & Muhammad Farooq Iqbal & Irfan Mahmood, 2023. "Assessing the impacts of climate change on flooding under Coupled Model Intercomparison Project Phase 6 scenarios in the river Chenab, Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(1), pages 1005-1033, May.
    5. Subhra Sekhar Maity & Rajib Maity, 2022. "Changing Pattern of Intensity–Duration–Frequency Relationship of Precipitation due to Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5371-5399, November.
    6. Pedro J. Zarco-Periñán & Irene M. Zarco-Soto & Fco. Javier Zarco-Soto & Rafael Sánchez-Durán, 2021. "Influence of Population Income on Energy Consumption for Heating and Its CO 2 Emissions in Cities," Energies, MDPI, vol. 14(15), pages 1-18, July.
    7. Chen Chen & Jiangfan Lin & Lei Pan & Kwang Y. Lee & Li Sun, 2019. "Improving Simultaneous Cooling and Power Load-Following Capability for MGT-CCP Using Coordinated Predictive Controls," Energies, MDPI, vol. 12(6), pages 1-24, March.
    8. Zhang, Zhengrong & Li, Xuemei & Liu, Xinyu & Zhao, Kaixin, 2024. "Dynamic simulation and projection of land use change using system dynamics model in the Chinese Tianshan mountainous region, central Asia," Ecological Modelling, Elsevier, vol. 487(C).
    9. Adib Roshani & Mehdi Hamidi, 2022. "Groundwater Level Fluctuations in Coastal Aquifer: Using Artificial Neural Networks to Predict the Impacts of Climatical CMIP6 Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(11), pages 3981-4001, September.
    10. Fan Wang & Meng Gao & Cheng Liu & Ran Zhao & Michael B. McElroy, 2024. "Uniformly elevated future heat stress in China driven by spatially heterogeneous water vapor changes," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    11. Kaplan, P. Ozge & Witt, Jonathan W., 2019. "What is the role of distributed energy resources under scenarios of greenhouse gas reductions? A specific focus on combined heat and power systems in the industrial and commercial sectors," Applied Energy, Elsevier, vol. 235(C), pages 83-94.
    12. Zhen Cao & Lei Zhang & Xinxin Zhang & Zengjun Guo, 2021. "Predicting the Potential Distribution of Hylomecon japonica in China under Current and Future Climate Change Based on Maxent Model," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    13. Quan, Hao & Ding, Dianyuan & Wu, Lihong & Qiao, Ruonan & Dong, Qin'ge & Zhang, Tibin & Feng, Hao & Wu, Lianhai & Siddique, Kadambot H.M., 2022. "Future climate change impacts on mulched maize production in an arid irrigation area," Agricultural Water Management, Elsevier, vol. 266(C).
    14. Sakdirat Kaewunruen & Jessada Sresakoolchai & Junying Peng, 2019. "Life Cycle Cost, Energy and Carbon Assessments of Beijing-Shanghai High-Speed Railway," Sustainability, MDPI, vol. 12(1), pages 1-18, December.
    15. Yong Zhang & Chengbang An & Luyu Liu & Yanzhen Zhang & Chao Lu & Wensheng Zhang, 2021. "High Mountains Becoming Wetter While Deserts Getting Drier in Xinjiang, China since the 1980s," Land, MDPI, vol. 10(11), pages 1-14, October.
    16. Yao, Yao & Li, Guang & Lu, Yanhua & Liu, Shuainan, 2023. "Modelling the impact of climate change and tillage practices on soil CO2 emissions from dry farmland in the Loess Plateau of China," Ecological Modelling, Elsevier, vol. 478(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcli:v:15:y:2025:i:1:d:10.1038_s41558-024-02193-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.