Evidence map›Paper›PMID 41975186›Full record

ArticleNature communications2026

Geospatial green ammonia co-firing in China's coal power fleets to avoid CO

Huihuang Wu, Xiurong Hu, Xian Wang, Yuhan Zhou, Junfeng Liu, Yang Ren, Boyang Wu, Wendong Ge, Ying Liu, Shu Tao

Abstract read
In one paragraph

Article in Nature communications, 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

10 authors.

Huihuang WuLaboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Xiurong HuCollege of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
Xian WangLaboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Yuhan ZhouLaboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Junfeng LiuLaboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China. jfliu@pku.edu.cn.
Yang RenLaboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Boyang WuLaboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Wendong GeState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing, China.
Ying LiuSchool of Statistics, University of International Business and Economics, Beijing, China.
Shu TaoLaboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-7374-7063

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China's 600 gigawatts (GW) of post-2010 coal power capacity locks in over 2 gigatons (Gt) of annual CO₂ emissions. Green ammonia co-firing offers a viable decarbonization pathway, yet spatial mismatch between ammonia production hubs and coal power plants remains a barrier. Here, we develop a spatially explicit framework covering 3958 islanded green ammonia production hubs to evaluate coal power units' spatial retrofit outcomes under two distinct co-firing strategies: local sourcing and geospatially optimized allocation. Results show that despite green ammonia subsidies, high fuel utilization costs persist for the local sourcing strategy, thereby limiting cumulative energy-related CO₂ reductions to 1.9-4.2 Gt (2020-2060) depending on climate policy stringency. In contrast, a geospatially optimized allocation strategy leveraging key transport corridors (e.g., Inner Mongolia to Hebei, Shandong, and Shanxi) delivers cumulative CO₂ abatement of 7.8-15.2 Gt, cuts cumulative CO₂ capture demand by 1.6-6.8 Gt, and lowers cumulative system costs between 2020 and 2060, relative to the local sourcing strategy.

Identifiers

PMID41975186
PMCPMC13247059

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.