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Cost and potential of metal–organic frameworks for hydrogen back-up power supply

Author

Listed:
  • Peng Peng

    (Lawrence Berkeley National Laboratory)

  • Aikaterini Anastasopoulou

    (Lawrence Berkeley National Laboratory
    University of Delaware)

  • Kriston Brooks

    (Pacific Northwest National Laboratory)

  • Hiroyasu Furukawa

    (Lawrence Berkeley National Laboratory
    University of California)

  • Mark E. Bowden

    (Pacific Northwest National Laboratory)

  • Jeffrey R. Long

    (Lawrence Berkeley National Laboratory
    University of California
    University of California)

  • Tom Autrey

    (Pacific Northwest National Laboratory)

  • Hanna Breunig

    (Lawrence Berkeley National Laboratory)

Abstract

Hydrogen offers a route to storing renewable electricity and lowering greenhouse gas emissions. Metal–organic framework (MOF) adsorbents are promising candidates for hydrogen storage, but a deep understanding of their potential for large-scale, stationary back-up power applications has been lacking. Here we utilize techno-economic analysis and process modelling, which leverage molecular simulation and experimental results, to evaluate the future opportunities of MOF-stored hydrogen for back-up power applications and set critical targets for future material development. We show that with carefully designed charging–discharging patterns, MOFs coupled with electrolysers and fuel cells are economically comparable with contemporary incumbent energy-storage technologies in back-up power applications. Future research should target developing MOFs with 15 g kg−1 of recoverable hydrogen adsorbed (excess uptake) and could be manufactured for under US$10 kg−1 to make the on-site storage system a leading option for back-up power applications.

Suggested Citation

  • Peng Peng & Aikaterini Anastasopoulou & Kriston Brooks & Hiroyasu Furukawa & Mark E. Bowden & Jeffrey R. Long & Tom Autrey & Hanna Breunig, 2022. "Cost and potential of metal–organic frameworks for hydrogen back-up power supply," Nature Energy, Nature, vol. 7(5), pages 448-458, May.
    • Handle: RePEc:nat:natene:v:7:y:2022:i:5:d:10.1038_s41560-022-01013-w
    DOI: 10.1038/s41560-022-01013-w
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    Cited by:

    1. Shen, Yongting & Yang, Hongxing, 2023. "Multi-objective optimization of a CO2/H2O capture-based ventilation and air conditioning system," Applied Energy, Elsevier, vol. 344(C).

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