Evidence map›Paper›PMID 40877271›Full record

ArticleNature communications2025

Assessment of carbon-abatement pricing to maximize the value of electrolytic hydrogen in emissions-intensive power sectors.

Ayodeji Okunlola, Matthew Davis, Amit Kumar

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Ayodeji OkunlolaDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.ORCID http://orcid.org/0000-0001-7335-545X
Matthew DavisDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.ORCID http://orcid.org/0000-0002-0623-2588
Amit KumarDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada. amit.kumar@ualberta.ca.ORCID http://orcid.org/0000-0002-1746-7139

Funding

Alberta Innovates AB Innovat CR 232403254 - RES0063252Canada Research Chairs (Chaires de recherche du Canada) CRC-2021-00530Cenovus Energy (Cenovus Energy Inc.) UOFAB Cenovus ALLRP 581431 Kum - RES0063250Environment and Climate Change Canada (ECCC) ECCCAN GCXE24E029 Kumar - RES00063254Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) NSERC AOO 581431 Kumar - RES0062884Suncor Energy Incorporated (Suncor Energy) Suncor RES0063251
6 · The paper itself

Abstract

Electrolytic hydrogen can support the decarbonization of the power sector. Achieving cost-effective power-to-gas-to-power (PGP) integration through targeted emissions pricing can accelerate the adoption of electrolytic hydrogen in greenhouse gas-intensive power sectors. This study develops a framework for assessing the economic viability of electrolytic hydrogen-based PGP systems in fossil fuel-dependent grids, while considering the competing objectives of the electricity system operator, a risk-averse investor, and the government. Here we show that, given the risk-averse investor's inherent pursuit of profit maximization, a break-even carbon abatement cost of at least 57 Canadian Dollars per tonne of CO₂ by 2030 from the government, with a shift in electricity market dispatch rules from sole system marginal price-reduction to system-wide emissions reduction, is essential to stimulate price discovery for low-cost hydrogen production and contingency reserve provision by the PGP system. This work can help policymakers capture and incentivize the role of electrolytic hydrogen in low-carbon power sector planning.

Identifiers

PMID40877271
PMCPMC12394422

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.