Evidence map›Paper›PMID 38444498›Full record

ReviewHeliyon2024

A perspective on three sustainable hydrogen production technologies with a focus on technology readiness level, cost of production and life cycle environmental impacts.

Yunfei Li, Richen Lin, Richard O'Shea, Vaishali Thaore, David Wall, Jerry D Murphy

Abstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

6 authors.

Yunfei LiMaREI Centre for Energy Climate and Marine, Environmental Research Institute, University College Cork, Cork, T23 XE10, Ireland.
Richen LinKey Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing, 210096, China.
Richard O'SheaMaREI Centre for Energy Climate and Marine, Environmental Research Institute, University College Cork, Cork, T23 XE10, Ireland.
Vaishali ThaoreMaREI Centre for Energy Climate and Marine, Environmental Research Institute, University College Cork, Cork, T23 XE10, Ireland.
David WallMaREI Centre for Energy Climate and Marine, Environmental Research Institute, University College Cork, Cork, T23 XE10, Ireland.
Jerry D MurphyMaREI Centre for Energy Climate and Marine, Environmental Research Institute, University College Cork, Cork, T23 XE10, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrogen will play an indispensable role as both an energy vector and as a molecule in essential products in the transition to climate neutrality. However, the optimal sustainable hydrogen production system is not definitive due to challenges in energy conversion efficiency, economic cost, and associated marginal abatement cost. This review summarises and contrasts different sustainable hydrogen production technologies including for their development, potential for improvement, barriers to large-scale industrial application, capital and operating cost, and life-cycle environmental impact. Polymer electrolyte membrane water electrolysis technology shows significant potential for large-scale application in the near-term, with a higher technology readiness level (expected to be 9 by 2030) and a levelized cost of hydrogen expected to be 4.15-6 €/kg H

Indexed as

Hydrogen economyLevelized cost of hydrogenLife cycle environmental impactsSustainable hydrogen production technologiesSystem comparisonTechnology optimization

Identifiers

PMID38444498
PMCPMC10912280

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.