Evidence map›Paper›PMID 41285839›Full record

ArticleNature communications2025

Ambitious climate targets can make the phaseout of India's coal-fired power plants cost-beneficial.

Xinyi Long, Bin Chen, Min Dai, Hongyi Xie, Peipei Chen, Jing Meng, Yutao Wang

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

7 authors.

Xinyi LongDepartment of Environmental Science and Engineering, Fudan Tyndall Center and Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, Shanghai, China.ORCID http://orcid.org/0009-0009-7448-6684
Bin ChenDepartment of Environmental Science and Engineering, Fudan Tyndall Center and Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0001-8326-4551
Min DaiDepartment of Environmental Science and Engineering, Fudan Tyndall Center and Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, Shanghai, China.
Hongyi XieDepartment of Environmental Science and Engineering, Fudan Tyndall Center and Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, Shanghai, China.
Peipei ChenThe Bartlett School of Sustainable Construction, University College London, London, UK.ORCID http://orcid.org/0000-0002-4430-1791
Jing MengThe Bartlett School of Sustainable Construction, University College London, London, UK. jing.j.meng@ucl.ac.uk.ORCID http://orcid.org/0000-0001-8708-0485
Yutao WangDepartment of Environmental Science and Engineering, Fudan Tyndall Center and Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, Shanghai, China. yutaowang@fudan.edu.cn.ORCID http://orcid.org/0000-0001-8297-8579

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the urgency of climate change and the need for an energy transition, global coal power generation is rapidly declining. However, coal transition strategies optimized for cost-benefit and aligned with climate targets remain underexplored. Here, we develop a Plant-level Mixed-Integer Nonlinear Dynamic Optimization Model to conduct a cost-benefit optimization analysis for India's coal-fired power plants, through which the study proposes differentiated phaseout roadmaps aligned with the 1.5 °C and 2 °C climate targets. Our findings suggest that ambitious climate targets can yield more significant economic benefits, and more aggressive coal power retirement strategies are economically feasible. For example, Chhattisgarh and Uttar Pradesh could achieve the total net benefits of 171 and 110 billion US dollars in the 1.5 °C and 2 °C scenarios. Furthermore, incorporating social benefits into the evaluation will enhance the feasibility of the coal phaseout and reinforce India's decarbonization commitments.

Identifiers

PMID41285839
PMCPMC12749426

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.