Evidence map›Paper›PMID 42823444›Full record

ArticleNature communications2026

Carbon neutrality strategies modulate air quality effects on solar power generation.

Hongrong Shi, Da Gao, Chenfei Qu, Xiang'ao Xia, Dazhi Yang, Da Zhang, Mengmeng Song, Disong Fu, Baozhu Ge, Hongbin Chen and 5 more

Abstract read
PubMed Full text at PMC Publisher
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

15 authors.

Hongrong ShiState Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-5650-0077
Da GaoState Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University, Beijing, China.
Chenfei QuInstitute of Energy, Environment, and Economy, Tsinghua University, Beijing, China.
Xiang'ao XiaLaboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China. xxa@mail.iap.ac.cn.ORCID http://orcid.org/0000-0002-4187-6311
Dazhi YangSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China.
Da ZhangInstitute of Energy, Environment, and Economy, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-0790-9298
Mengmeng SongSchool of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China.
Disong FuState Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
Baozhu GeState Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
Hongbin ChenLaboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
Yun ZhuSchool of Environment and Energy, South China University of Technology, Guangzhou, China.
Rong WangShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP³), Department of Environmental Science and Engineering, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0003-1962-0165
Junji CaoState Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-1000-7241
Shuxiao WangState Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0001-9727-1963
Bin ZhaoState Key Laboratory of Regional Environment and Sustainability, School of Environment, Tsinghua University, Beijing, China. bzhao@mail.tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-8438-9188

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solar photovoltaic power is essential for achieving carbon neutrality, yet its output is highly sensitive to changes in air quality under future emission pathways. We integrate energy-economy, coupled meteorology-chemistry, and photovoltaic performance models to quantify how alternative carbon-neutrality pathways influence solar power generation via air quality changes in China. Here we show that a pathway emphasizing renewable-energy deployment yields the greatest air-quality improvements, boosting annual photovoltaic power generation by 57,526 ± 10,314 gigawatt-hours (GWh) relative to business-as-usual, equivalent to economic gains of US$5.18 ± 0.93 billion by 2060. These gains are driven primarily by aerosol-cloud interactions rather than aerosol-radiation interactions. In contrast, pathways relying on biomass or carbon capture achieve only about one-third of these gains. The largest gains occur in eastern and southern China, where electricity demand is highest. These findings highlight the importance of co-optimizing decarbonization and air-pollution mitigation to maximize the renewable energy benefits of carbon-neutrality strategies.

Identifiers

PMID42823444
PMCPMC13631228

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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.