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Constraints imposed by key-material resources on renewable energy development

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  • Klimenko, V.V.
  • Ratner, S.V.
  • Tereshin, A.G.

Abstract

To limit global warming well below 2 °C, or even 1.5 °C, a rapid transition toward renewable energies must occur within the next several decades. This study examines the problem of resource constraints in the development of clean energy and transportation technologies (namely wind turbines and batteries in electric vehicles) for different global energy-consumption scenarios. For this study, lithium and cobalt (demand from electric vehicles) and neodymium, praseodymium, and dysprosium (cumulative demand from electric vehicles and wind power) were considered as critical materials. The application of simple dynamic models allows for an integrated assessment, taking into account changes in energy demand, resource intensity of wind energy and electric vehicles, and exploration and recycling technologies. The obtained results show that, irrespective of the considered scenario or the method used for estimating rare-earth element reserves, the demand for neodymium and praseodymium remains within a maximum of 12%–14% of the total reserves even when the development in recycling technologies is not considered. Meanwhile, the demand for dysprosium is much more significant at 86% in the absence of recycling technologies. There are strong indicators that clean-energy development can be threatened by the shortage of cobalt and lithium by the middle of this century unless we achieve rapid progress in technologies related to their exploration and reuse.

Suggested Citation

  • Klimenko, V.V. & Ratner, S.V. & Tereshin, A.G., 2021. "Constraints imposed by key-material resources on renewable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    • Handle: RePEc:eee:rensus:v:144:y:2021:i:c:s1364032121003014
    DOI: 10.1016/j.rser.2021.111011
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    as
    1. Valero, Alicia & Valero, Antonio & Calvo, Guiomar & Ortego, Abel, 2018. "Material bottlenecks in the future development of green technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 178-200.
    2. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
    3. Broberg, Thomas & Berg, Charlotte & Samakovlis, Eva, 2015. "The economy-wide rebound effect from improved energy efficiency in Swedish industries–A general equilibrium analysis," Energy Policy, Elsevier, vol. 83(C), pages 26-37.
    4. Williams, Eric & Hittinger, Eric & Carvalho, Rexon & Williams, Ryan, 2017. "Wind power costs expected to decrease due to technological progress," Energy Policy, Elsevier, vol. 106(C), pages 427-435.
    5. Hatayama, Hiroki & Tahara, Kiyotaka, 2015. "Evaluating the sufficiency of Japan׳s mineral resource entitlements for supply risk mitigation," Resources Policy, Elsevier, vol. 44(C), pages 72-80.
    6. Szinai, Julia K. & Sheppard, Colin J.R. & Abhyankar, Nikit & Gopal, Anand R., 2020. "Reduced grid operating costs and renewable energy curtailment with electric vehicle charge management," Energy Policy, Elsevier, vol. 136(C).
    7. Wang, Peng & Chen, Li-Yang & Ge, Jian-Ping & Cai, Wenjia & Chen, Wei-Qiang, 2019. "Incorporating critical material cycles into metal-energy nexus of China’s 2050 renewable transition," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    8. Thompson, Andrew W. & Perez, Yannick, 2020. "Vehicle-to-Everything (V2X) energy services, value streams, and regulatory policy implications," Energy Policy, Elsevier, vol. 137(C).
    9. Kapustin, Nikita O. & Grushevenko, Dmitry A., 2020. "Long-term electric vehicles outlook and their potential impact on electric grid," Energy Policy, Elsevier, vol. 137(C).
    10. Thomassen, Gwenny & Van Passel, Steven & Dewulf, Jo, 2020. "A review on learning effects in prospective technology assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    11. Krause, Jette & Thiel, Christian & Tsokolis, Dimitrios & Samaras, Zissis & Rota, Christian & Ward, Andy & Prenninger, Peter & Coosemans, Thierry & Neugebauer, Stephan & Verhoeve, Wim, 2020. "EU road vehicle energy consumption and CO2 emissions by 2050 – Expert-based scenarios," Energy Policy, Elsevier, vol. 138(C).
    12. Lin, Boqiang & Li, Zheng, 2020. "Is more use of electricity leading to less carbon emission growth? An analysis with a panel threshold model," Energy Policy, Elsevier, vol. 137(C).
    13. Figge, Frank & Thorpe, Andrea Stevenson, 2019. "The symbiotic rebound effect in the circular economy," Ecological Economics, Elsevier, vol. 163(C), pages 61-69.
    14. Hoppmann, Joern & Anadon, Laura Diaz & Narayanamurti, Venkatesh, 2020. "Why matter matters: How technology characteristics shape the strategic framing of technologies," Research Policy, Elsevier, vol. 49(1).
    15. Pavel, Claudiu C. & Lacal-Arántegui, Roberto & Marmier, Alain & Schüler, Doris & Tzimas, Evangelos & Buchert, Matthias & Jenseit, Wolfgang & Blagoeva, Darina, 2017. "Substitution strategies for reducing the use of rare earths in wind turbines," Resources Policy, Elsevier, vol. 52(C), pages 349-357.
    16. Yu, Xuewei & Moreno-Cruz, Juan & Crittenden, John C., 2015. "Regional energy rebound effect: The impact of economy-wide and sector level energy efficiency improvement in Georgia, USA," Energy Policy, Elsevier, vol. 87(C), pages 250-259.
    17. Rubin, Edward S. & Azevedo, Inês M.L. & Jaramillo, Paulina & Yeh, Sonia, 2015. "A review of learning rates for electricity supply technologies," Energy Policy, Elsevier, vol. 86(C), pages 198-218.
    18. Shigetomi, Yosuke & Nansai, Keisuke & Kagawa, Shigemi & Kondo, Yasushi & Tohno, Susumu, 2017. "Economic and social determinants of global physical flows of critical metals," Resources Policy, Elsevier, vol. 52(C), pages 107-113.
    19. Lee, J. & Bazilian, M. & Sovacool, B. & Hund, K. & Jowitt, S.M. & Nguyen, T.P. & Månberger, A. & Kah, M. & Greene, S. & Galeazzi, C. & Awuah-Offei, K. & Moats, M. & Tilton, J. & Kukoda, S., 2020. "Reviewing the material and metal security of low-carbon energy transitions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    20. Belaïd, Fateh & Bakaloglou, Salomé & Roubaud, David, 2018. "Direct rebound effect of residential gas demand: Empirical evidence from France," Energy Policy, Elsevier, vol. 115(C), pages 23-31.
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