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Long-term optimization of the hydrogen-electricity nexus in France

Author

Listed:
  • Behrang Shirizadeh

    (CIRED - Centre International de Recherche sur l'Environnement et le Développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École nationale des ponts et chaussées - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique)

  • Philippe Quirion

    (CIRED - Centre International de Recherche sur l'Environnement et le Développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École nationale des ponts et chaussées - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique)

Abstract

We model the optimal hydrogen and electricity production and storage mix for France by 2050. We provide a central scenario and study its sensitivity to the cost of electrolyzers, the hydrogen demand and the renewable energy deployment potential. The share of electrolysis vs. methane reforming with CO 2 capture and storage in hydrogen production is sensitive to the cost of electrolyzers, with the former providing around 60% in the central scenario. However, the system cost and hydrogen and electricity production costs are much less sensitive to these scenarios, thanks to the wide nearoptimal feasible space of the solutions. The electricity production mix is almost fully renewable in the central scenario, while nuclear has a significant role only if the wind & solar potential limits their deployment, or if blue hydrogen is not authorized.

Suggested Citation

  • Behrang Shirizadeh & Philippe Quirion, 2023. "Long-term optimization of the hydrogen-electricity nexus in France," Post-Print hal-04347126, HAL.
    • Handle: RePEc:hal:journl:hal-04347126
    DOI: 10.1016/j.enpol.2023.113702
    Note: View the original document on HAL open archive server: https://hal.science/hal-04347126v1
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    Cited by:

    1. is not listed on IDEAS
    2. Yunlei Lin & Yuan Zhou, 2023. "Identification of Hydrogen-Energy-Related Emerging Technologies Based on Text Mining," Sustainability, MDPI, vol. 16(1), pages 1-19, December.

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    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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