Evidence map›Paper›PMID 39493881›Full record

ArticleiScience2024

Maximizing the environmental benefits of gas power development in China: A multidisciplinary modeling approach.

Yan Chen, Michael Davidson, Yu Liu, Dachuan Liu, Huawei Zhang, Chaozi Wang, Xinyu Fan, Muzhen Ren, Pu Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2024. 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

9 authors.

Yan ChenBeijing Institute of Technology, School of Economics, Beijing 100081, China.
Michael DavidsonSchool of Global Policy and Strategy and Department of Mechanical and Aerospace Engineering, University of California, San Diego, San Diego 92093, United States.
Yu LiuCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
Dachuan LiuInstitutes of Science and Development, Chinese Academy of Sciences, No.15 Zhongguancun Beiyitiao Alley, Haidian District, Beijing 100190, China.
Huawei ZhangInstitutes of Science and Development, Chinese Academy of Sciences, No.15 Zhongguancun Beiyitiao Alley, Haidian District, Beijing 100190, China.
Chaozi WangCollege of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China.
Xinyu FanBeijing Institute of Technology, School of Economics, Beijing 100081, China.
Muzhen RenInstitutes of Science and Development, Chinese Academy of Sciences, No.15 Zhongguancun Beiyitiao Alley, Haidian District, Beijing 100190, China.
Pu WangInstitutes of Science and Development, Chinese Academy of Sciences, No.15 Zhongguancun Beiyitiao Alley, Haidian District, Beijing 100190, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China, holding nearly half of the global coal-fired power capacity, must shift from its coal-centric energy system to meet climate and air quality goals. This study explores the optimal utilization of natural gas by evaluating the environmental and economic costs of gas- and coal-fired power using plant-level data and a multidisciplinary modeling approach. We find that gas power has substantially lower air pollution costs (0.77 versus 12.2 cents/kWh) and moderately lower GHG costs (2.8 versus 4.5 cents/kWh), with an average environmental advantage of 12.1 cents/kWh and a social benefit of 10.4 cents/kWh when considering LCOE. The benefits vary spatially with the highest benefits in east-central China. Prioritizing substitution in regions with high environmental benefits could reduce SO

Indexed as

Earth sciencesEnergy policyEnvironmental science

Identifiers

PMID39493881
PMCPMC11530922

What OpenQuestion holds

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LicenceCC BY-NC
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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.