Minimum-regret hydrogen supply chain strategies to foster the energy transition of European hard-to-abate industries
Alissa Ganter, Paolo Gabrielli, Hanne Goericke, Giovanni Sansavini

TL;DR
This paper develops a minimum-regret optimization model for European hydrogen supply chains, considering demand and biomass uncertainties, to inform strategic infrastructure investments for decarbonizing hard-to-abate industries.
Contribution
It introduces a scenario-based, minimum-regret optimization framework for designing flexible, cost-effective hydrogen supply chains under demand and biomass availability uncertainties.
Findings
Large low-carbon hydrogen capacities are needed by 2030 for future demand.
Biomass-based hydrogen is most cost-efficient but depends on biomass availability.
CCS infrastructure is crucial across all scenarios.
Abstract
Low-carbon hydrogen (H2) is envisioned to play a central role in decarbonizing European hard-to-abate industries, such as refineries, ammonia, methanol, steel, and cement. To enable its widespread use, H2 supply chain (HSC) infrastructure is required. Mature and economically viable low-carbon H2 production pathways include steam methane reforming (SMR) of natural gas coupled with carbon dioxide capture and storage (CCS), water-electrolysis from renewable electricity, biomethane reforming, and biomass gasification. However, uncertainties surrounding demand and feedstock availabilities hamper their proliferation. Here, we investigate the impact of uncertainty in H2 demand and biomass availability on the optimal HSC design. The HSC is modeled as a network of H2 production and consumption sites that are interconnected with H2 and biomass transport technologies. A CCS supply chain is modeled…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHybrid Renewable Energy Systems
