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Herrmann, Ulrike, Würfel, Hans, Malan, Albertus Johannes, Plietzsch, Anton, Schiffer, Johannes · Oct 29, 2026

Ulrike Herrmann and coauthors quantify hydrogen pipeline storage potential

Markdown · JSON · Original source

In “Quantifying Linepack Storage Potential of Hydrogen Networks,” Ulrike Herrmann and coauthors argue that hydrogen pipelines can store energy, but that this linepack storage potential has not been quantified comparably to dedicated storage. They transfer conventional storage measures, including volume capacity and full-cycle equivalents, to hydrogen networks. Their optimization models transient gas flow over a full-year horizon, capturing seasonal variation and interaction with cavern storage. To make the computation more manageable, they propose simulation-informed sequential convex programming with adaptive stepping. They report that it reduces problem size by up to 98% at accuracy comparable to fixed-resolution methods. For the GasLib-40 topology with German scenario data, they report a volume capacity of 24 million normal cubic meters at 28 full-cycle equivalents per year. These figures describe the modeled network and scenario; the abstract does not establish that they apply to other networks or scenarios.

Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims.

arXiv eess.SYArticle · arxiv.orgOpen original source

Original source

eess.SY · Article

Source details

Original source date: Oct 29, 2026 (2026-10-29).

Date basis: Date basis not provided.

Added to Escape Meridian: 2026-11-11T00:11:06.557Z. First observed: 2026-11-02T05:06:40.210Z. Retrieved: 2026-11-02T10:02:33.373Z.

Referenced by

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Reference data (JSON)

Limits

The reported capacity and full-cycle equivalents are for the GasLib-40 topology with German scenario data; the supplied abstract does not establish that they apply to other networks or scenarios. The supplied evidence is the abstract and does not provide further detail on the modeled assumptions or the comparison used to assess accuracy.

Open question

How do the reported capacity and full-cycle equivalents vary for other network topologies and scenario data?

Source-stated

The authors apply conventional storage measures, including volume capacity and full-cycle equivalents, to hydrogen networks’ linepack storage potential.

We transfer metrics established for conventional storage, such as volume capacity and full-cycle equivalents, to hydrogen networks.

Source-stated

The authors model transient gas flow over a full-year horizon and assess interaction with cavern storage.

We solve the optimization problem over a full-year horizon to capture seasonal variations and to assess the interaction with cavern storage.

Source-stated

The authors report that their simulation-informed sequential convex programming approach reduces problem size by up to 98% at accuracy comparable to fixed-resolution methods.

reduces problem size by up to 98% at accuracy comparable to fixed-resolution methods.

Source-stated

For the GasLib-40 topology with German scenario data, the authors report volume capacity of 24 million normal cubic meters at 28 full-cycle equivalents per year.

For the GasLib-40 topology with German scenario data, the network provides a volume capacity of 24 million normal cubic meters at 28 full-cycle equivalents per year.

Source and contributor context

Herrmann, Ulrike, Würfel, Hans, Malan, Albertus Johannes, Plietzsch, Anton, Schiffer, Johannes · Article author

These are credits stated by the source; they do not establish a profile match or authorship of every passage.

Source media

No suitable media was found by the supported page extraction.

Terms and references

Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.

arXiv

arXiv is a research manuscript repository where authors share papers that may not yet have been peer reviewed.

TIME

TIME is a news magazine publishing reporting on world affairs, business, technology and the workers behind digital services.

Editorial provenance

Version 1. Publication ID: 1bce4d91-3abd-4e37-8641-e255c945e458.

Prepared by gpt-6-luna; grounding review by gpt-6-luna.

Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-11T00:11:06.557Z. This checks fidelity to the source, not whether its claims are independently true.

Editorial selection: accept; reasons: material_development.

Observation: 86992c21eb7aa964d9811982baf4863b2f981458b98f26556bad6f70ff3044a0. Source text hash: 6238f4ce89d2164924f7c36b31e86541022bacff3f163685b960828a06e38626.

Revision and source-check history

Version 1 · 2026-11-11T00:11:06.557Z

Ulrike Herrmann and coauthors quantify hydrogen pipeline storage potential

In “Quantifying Linepack Storage Potential of Hydrogen Networks,” Ulrike Herrmann and coauthors argue that hydrogen pipelines can store energy, but that this linepack storage potential has not been quantified comparably to dedicated storage. They transfer conventional storage measures, including volume capacity and full-cycle equivalents, to hydrogen networks. Their optimization models transient gas flow over a full-year horizon, capturing seasonal variation and interaction with cavern storage. To make the computation more manageable, they propose simulation-informed sequential convex programming with adaptive stepping. They report that it reduces problem size by up to 98% at accuracy comparable to fixed-resolution methods. For the GasLib-40 topology with German scenario data, they report a volume capacity of 24 million normal cubic meters at 28 full-cycle equivalents per year. These figures describe the modeled network and scenario; the abstract does not establish that they apply to other networks or scenarios.

Original source

eess.SY · Article

Source details

Original source date: Oct 29, 2026 (2026-10-29).

Date basis: Date basis not provided.

Added to Escape Meridian: 2026-11-11T00:11:06.557Z. First observed: 2026-11-02T05:06:40.210Z. Retrieved: 2026-11-02T10:02:33.373Z.

Limits

The reported capacity and full-cycle equivalents are for the GasLib-40 topology with German scenario data; the supplied abstract does not establish that they apply to other networks or scenarios. The supplied evidence is the abstract and does not provide further detail on the modeled assumptions or the comparison used to assess accuracy.

Open question

How do the reported capacity and full-cycle equivalents vary for other network topologies and scenario data?

Source-stated

The authors apply conventional storage measures, including volume capacity and full-cycle equivalents, to hydrogen networks’ linepack storage potential.

We transfer metrics established for conventional storage, such as volume capacity and full-cycle equivalents, to hydrogen networks.

Source-stated

The authors model transient gas flow over a full-year horizon and assess interaction with cavern storage.

We solve the optimization problem over a full-year horizon to capture seasonal variations and to assess the interaction with cavern storage.

Source-stated

The authors report that their simulation-informed sequential convex programming approach reduces problem size by up to 98% at accuracy comparable to fixed-resolution methods.

reduces problem size by up to 98% at accuracy comparable to fixed-resolution methods.

Source-stated

For the GasLib-40 topology with German scenario data, the authors report volume capacity of 24 million normal cubic meters at 28 full-cycle equivalents per year.

For the GasLib-40 topology with German scenario data, the network provides a volume capacity of 24 million normal cubic meters at 28 full-cycle equivalents per year.

Source and contributor context

Herrmann, Ulrike, Würfel, Hans, Malan, Albertus Johannes, Plietzsch, Anton, Schiffer, Johannes · Article author

These are credits stated by the source; they do not establish a profile match or authorship of every passage.

Source media

No suitable media was found by the supported page extraction.

Terms and references

Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.

arXiv

arXiv is a research manuscript repository where authors share papers that may not yet have been peer reviewed.

TIME

TIME is a news magazine publishing reporting on world affairs, business, technology and the workers behind digital services.

Editorial provenance

Version 1. Publication ID: 1bce4d91-3abd-4e37-8641-e255c945e458.

Prepared by gpt-6-luna; grounding review by gpt-6-luna.

Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-11T00:11:06.557Z. This checks fidelity to the source, not whether its claims are independently true.

Editorial selection: accept; reasons: material_development.

Observation: 86992c21eb7aa964d9811982baf4863b2f981458b98f26556bad6f70ff3044a0. Source text hash: 6238f4ce89d2164924f7c36b31e86541022bacff3f163685b960828a06e38626.

uncertain · 2026-11-11T00:11:06.557Z · anthropic/claude-opus-5.5

Publication: 1bce4d91-3abd-4e37-8641-e255c945e458

attribution — pass: The reading correctly attributes the paper to Ulrike Herrmann and coauthors. It keeps the findings attributed with phrasing such as 'they report'.

Authors:Ulrike Herrmann (1 and 2), Hans Würfel (3), Albertus Johannes Malan (4), Anton Plietzsch (1), Johannes Schiffer (1 and 2)

summary — uncertain: The summary is faithful but omits the paper's stated motivation: hydrogen systems need large-scale storage to balance supply and demand. Without it, a general reader cannot see why linepack matters. It also drops the condition that the optimization maximizes linepack storage utilization. That makes the 24 million figure read like typical operation rather than a maximized result. Central terms such as full-cycle equivalents, normal cubic meters and GasLib-40 are unexplained and need tooltips. Smallest repair: add the supply-demand balancing motivation and state that the model maximizes utilization.

Future hydrogen systems depend on large-scale storage to balance supply and demand.

date — pass: The originalPublished date of 2026-10-29 matches the v1 submission date on arXiv. The feed date of 2026-11-02 is correctly not used.

Thu, 29 Oct 2026 18:04:59 UTC (940 KB)

support — pass: Every claim matches the abstract verbatim. The limitations properly restrict the figures to the modeled network and scenario. The question follows from those limits and introduces no unsupported benefits, costs or forecasts.

For the GasLib-40 topology with German scenario data, the network provides a volume capacity of 24 million normal cubic meters at 28 full-cycle equivalents per year.

media — pass: The selected media is the verified direct link to the arXiv abstract page. It is the most relevant way to access the source.

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