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Near-term infrastructure rollout and investment strategies for net-zero hydrogen supply chains

Author

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  • Ganter, Alissa
  • Gabrielli, Paolo
  • Sansavini, Giovanni

Abstract

Low-carbon hydrogen plays a key role in European industrial decarbonization strategies. This work investigates the cost-optimal planning of European low-carbon hydrogen supply chains in the near term (2025–2035), comparing several hydrogen production technologies and considering multiple spatial scales. We focus on mature hydrogen production technologies: steam methane reforming of natural gas, biomethane reforming, biomass gasification, and water electrolysis. The analysis includes carbon capture and storage for natural gas and biomass-derived hydrogen. We formulate and solve a linear optimization model that determines the cost-optimal type, size, and location of hydrogen production and transport technologies in compliance with selected carbon emission targets, including the EU fit for 55 target and an ambitious net-zero emissions target for 2035. Existing steam methane reforming capacities are considered, and optimal carbon and biomass networks are designed. Findings identify biomass-based hydrogen production as the most cost-efficient hydrogen technology. Carbon capture and storage is installed to achieve net-zero carbon emissions, while electrolysis remains cost-disadvantageous and is deployed on a limited scale across all considered sensitivity scenarios. Our analysis highlights the importance of spatial resolution, revealing that national perspectives underestimate costs by neglecting domestic transport needs and regional resource constraints, emphasizing the necessity for highly decarbonized infrastructure designs aligned with renewable resource availabilities.

Suggested Citation

  • Ganter, Alissa & Gabrielli, Paolo & Sansavini, Giovanni, 2024. "Near-term infrastructure rollout and investment strategies for net-zero hydrogen supply chains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 194(C).
  • Handle: RePEc:eee:rensus:v:194:y:2024:i:c:s1364032124000376
    DOI: 10.1016/j.rser.2024.114314
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