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Potential use of geothermal energy sources for the production of lithium-ion batteries

Author

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  • Saevarsdottir, Gudrun
  • Tao, Pai-chun
  • Stefansson, Hlynur
  • Harvey, William

Abstract

The lithium-ion battery is one of the most promising technologies for energy storage in many recent and emerging applications. However, the cost of lithium-ion batteries limits their penetration in the public market. Energy input is a significant cost driver for lithium batteries due to both the electrical and thermal energy required in the production process. The drying process requires 45–57% of the energy consumption of the production process according to a model presented in this paper. The model is used as a base for quantifying the energy and temperatures at each step, as replacing electric energy with thermal energy is considered. In Iceland, it is possible to use geothermal steam as a thermal resource in the drying process. The most feasible type of dryer and heating method for lithium batteries would be a tray dryer (batch) using a conduction heating method under vacuum operation. Replacing conventional heat sources with heat from geothermal steam in Iceland, we can lower the energy cost to 0.008USD/Ah from 0.13USD/Ah based on average European energy prices. The energy expenditure after 15 years operation could be close to 2% of total expenditure using this renewable resource, down from 12 to 15% in other European countries. According to our profitability model, the internal rate of return of this project will increase from 11% to 23% by replacing the energy source. The impact on carbon emissions amounts to 393.4–215.1 g/Ah lower releases of CO2 per year, which is only 2–5% of carbon emissions related to battery production using traditional energy sources.

Suggested Citation

  • Saevarsdottir, Gudrun & Tao, Pai-chun & Stefansson, Hlynur & Harvey, William, 2014. "Potential use of geothermal energy sources for the production of lithium-ion batteries," Renewable Energy, Elsevier, vol. 61(C), pages 17-22.
  • Handle: RePEc:eee:renene:v:61:y:2014:i:c:p:17-22
    DOI: 10.1016/j.renene.2012.04.028
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    Cited by:

    1. Ghorbanzadeh, Milad & Astaneh, Majid & Golzar, Farzin, 2019. "Long-term degradation based analysis for lithium-ion batteries in off-grid wind-battery renewable energy systems," Energy, Elsevier, vol. 166(C), pages 1194-1206.
    2. Gajic, Dragoljub & Savic-Gajic, Ivana & Savic, Ivan & Georgieva, Olga & Di Gennaro, Stefano, 2016. "Modelling of electrical energy consumption in an electric arc furnace using artificial neural networks," Energy, Elsevier, vol. 108(C), pages 132-139.
    3. Ziad M. Ali & Martin Calasan & Shady H. E. Abdel Aleem & Francisco Jurado & Foad H. Gandoman, 2023. "Applications of Energy Storage Systems in Enhancing Energy Management and Access in Microgrids: A Review," Energies, MDPI, vol. 16(16), pages 1-41, August.

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