Exploring internal and external drivers of hydrogen deployment in the energy transition.

Zhiyuan Xie, Ricardo Fernandes, Gorm Bruun Andresen

Abstract read

In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Zhiyuan XieDepartment of Mechanical and Production Engineering, Aarhus University, Aarhus, Denmark.

Ricardo FernandesDepartment of Mechanical and Production Engineering, Aarhus University, Aarhus, Denmark.

Gorm Bruun AndresenDepartment of Mechanical and Production Engineering, Aarhus University, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrogen is increasingly recognized as important for deep decarbonization, but its future deployment remains highly uncertain. Here, we extend the open-source PyPSA-Eur model with country-level carbon constraints and simulate European energy transition pathways from 2025 to 2050 under three carbon budgets. We distinguish external drivers, such as hydrogen use in transport and industry, from internal drivers, such as electrolyzer costs, CO

Indexed as

blue hydrogengreen hydrogenhydrogen demandhydrogen deploymentPyPSA-Eur

Identifiers

PMID42491731

DOI10.1016/j.isci.2026.116597

PMCPMC13378290

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.