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Can distributed hydrogen production improve the earthquake resilience of power systems?

  • Melissa Alé
  • , Madhura Yeligeti
  • , Rafaella Canessa
  • , Manuel Wetzel
  • , Rodrigo Moreno
  • , Rebecca Peer
  • , Hans Christian Gils
  • , Jannik Haas

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

Resilience planning is crucial for sustainable energy transitions, particularly in mitigating the impacts of extreme weather events and natural hazards. This study examines the integration of hydrogen as a new energy carrier, focusing on its technical flexibility and potential stresses. We connect a resilience framework comprising four phases—hazard characterization, system component vulnerability assessment, power system response, and recovery—to an energy system optimization model. This tool plans the capacity expansion with economic dispatch under contingency scenarios to calculate resilience metrics, including energy not served and generation availability. To demonstrate the methodology, a case study on New Zealand compares the effects of three hydrogen spatial distribution scenarios: concentrated, intermediate, and distributed. Results indicate that a distributed hydrogen scenario enhances resilience by reducing unserved electricity and unmet hydrogen demand while achieving the lowest total system costs. These findings support adopting a nationwide distributed hydrogen hub strategy to improve system adaptability. The proposed framework is scalable and adaptable to other countries, providing a robust tool for integrating resilience into energy planning.

Original languageEnglish
Article number127069
JournalApplied Energy
Volume403
DOIs
StatePublished - 15 Jan 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Earthquake modeling
  • Energy system modeling
  • Hydrogen integration
  • Model coupling
  • Resilience planning

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