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Assessment of the potential for underground hydrogen storage in salt domes

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  • Lankof, Leszek
  • Urbańczyk, Kazimierz
  • Tarkowski, Radosław

Abstract

The study concerns the critical issue of large-scale hydrogen storage in salt domes. The article aims to present the methodology for the hydrogen storage potential assessment for salt domes. The method considers the size of storage caverns, their depth, the influence of convergence, and the geological structure of the selected salt domes. Statistical analysis of data from the underground cavern storage facility in the Mogilno salt dome allows determining the probability of constructing a salt cavern of a specific volume and depth in the selected salt domes. Estimates based on the developed methodology indicate that the average hydrogen storage potential for the analyzed salt domes ranges from 125.7 TWht after the first filling to 83.8 TWht after 30 years of operation. The maximum storage potential ranges from 178 to 155 TWht, respectively. In the case of the largest analyzed salt dome, where one may construct salt caverns at a depth that ensures moderate convergence, the storage potential amounts to 34.3 TWht after first filling. The presented methodology is the next phase of the research, which refines the previous estimates, allowing for more accurate forecasts of rock salt deposit capacity in terms of hydrogen storage. The presented problems are of interest to countries considering large-scale hydrogen storage, geological survey organizations, companies producing electricity from renewables, and petrochemical companies considering underground hydrogen storage in salt caverns.

Suggested Citation

  • Lankof, Leszek & Urbańczyk, Kazimierz & Tarkowski, Radosław, 2022. "Assessment of the potential for underground hydrogen storage in salt domes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
  • Handle: RePEc:eee:rensus:v:160:y:2022:i:c:s1364032122002246
    DOI: 10.1016/j.rser.2022.112309
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    References listed on IDEAS

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    3. Mao, Shaowen & Chen, Bailian & Malki, Mohamed & Chen, Fangxuan & Morales, Misael & Ma, Zhiwei & Mehana, Mohamed, 2024. "Efficient prediction of hydrogen storage performance in depleted gas reservoirs using machine learning," Applied Energy, Elsevier, vol. 361(C).
    4. Jahanbakhsh, Amir & Louis Potapov-Crighton, Alexander & Mosallanezhad, Abdolali & Tohidi Kaloorazi, Nina & Maroto-Valer, M. Mercedes, 2024. "Underground hydrogen storage: A UK perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    5. Zhu, Shijie & Shi, Xilin & Yang, Chunhe & Li, Yinping & Li, Hang & Yang, Kun & Wei, Xinxing & Bai, Weizheng & Liu, Xin, 2023. "Hydrogen loss of salt cavern hydrogen storage," Renewable Energy, Elsevier, vol. 218(C).
    6. Blay-Roger, Rubén & Bach, Wolfgang & Bobadilla, Luis F. & Reina, Tomas Ramirez & Odriozola, José A. & Amils, Ricardo & Blay, Vincent, 2024. "Natural hydrogen in the energy transition: Fundamentals, promise, and enigmas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    7. Tarkowski, Radosław & Lankof, Leszek & Luboń, Katarzyna & Michalski, Jan, 2024. "Hydrogen storage capacity of salt caverns and deep aquifers versus demand for hydrogen storage: A case study of Poland," Applied Energy, Elsevier, vol. 355(C).
    8. Deng, Peng & Chen, Zhangxin & Peng, Xiaolong & Wang, Jianfeng & Zhu, Suyang & Ma, Haoming & Wu, Zhengbin, 2023. "Optimized lower pressure limit for condensate underground gas storage using a dynamic pseudo-component model," Energy, Elsevier, vol. 285(C).
    9. Li, Hang & Ma, Hongling & Liu, Jiang & Zhu, Shijie & Zhao, Kai & Zheng, Zhuyan & Zeng, Zhen & Yang, Chunhe, 2023. "Large-scale CAES in bedded rock salt: A case study in Jiangsu Province, China," Energy, Elsevier, vol. 281(C).

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