Evidence map›Paper›PMID 41372217›Full record

ArticleNature communications2025

Rising worldwide challenges to climate-induced extreme low-production events of photovoltaic and wind power.

Qianzhi Wang, Kai Liu, Ming Wang, Zhao Zhang, Hao Chen, Lancui Liu, Jinshan Wu, Heran Zheng

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

8 authors.

Qianzhi WangJoint International Research Laboratory of Catastrophe Simulation and Systemic Risk Governance, Beijing Normal University at Zhuhai, Zhuhai, Guangdong, China.ORCID http://orcid.org/0000-0003-4838-0535
Kai LiuJoint International Research Laboratory of Catastrophe Simulation and Systemic Risk Governance, Beijing Normal University at Zhuhai, Zhuhai, Guangdong, China. liukai@bnu.edu.cn.ORCID http://orcid.org/0000-0001-6571-0327
Ming WangJoint International Research Laboratory of Catastrophe Simulation and Systemic Risk Governance, Beijing Normal University at Zhuhai, Zhuhai, Guangdong, China.ORCID http://orcid.org/0000-0002-5629-4314
Zhao ZhangJoint International Research Laboratory of Catastrophe Simulation and Systemic Risk Governance, Beijing Normal University at Zhuhai, Zhuhai, Guangdong, China.ORCID http://orcid.org/0000-0002-5697-8011
Hao ChenJoint International Research Laboratory of Catastrophe Simulation and Systemic Risk Governance, Beijing Normal University at Zhuhai, Zhuhai, Guangdong, China.
Lancui LiuJoint International Research Laboratory of Catastrophe Simulation and Systemic Risk Governance, Beijing Normal University at Zhuhai, Zhuhai, Guangdong, China.ORCID http://orcid.org/0000-0002-9132-4398
Jinshan WuSchool of Systems Science, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0000-0001-5014-385X
Heran ZhengThe Bartlett School of Sustainable Construction, University College London, London, UK.ORCID http://orcid.org/0000-0003-0818-7933

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global shift toward solar photovoltaic (PV) and wind power is crucial to climate mitigation, yet climate change may intensify extreme low-production (ELP) events and affect power reliability. Here, we assess future ELP changes under low (SSP1-2.6), intermediate (SSP2-4.5), and high (SSP3-7.0) greenhouse gas and air pollutant emissions scenarios. Even under SSP1-2.6, rising ELP risks are projected to affect more than one-third of global regions, expanding to nearly two-thirds under SSP3-7.0, regardless of whether systems rely on PV, wind, or both. Increases in ELP for wind power are nearly inevitable, with over 75% of currently installed areas experiencing 14.0-24.5% greater production anomalies by the late century. PV power diverges strongly across scenarios, shifting from a 14.8% decrease in anomaly under SSP1-2.6 to a 26.4% increase under SSP3-7.0, particularly in East Asia. Additionally, climate-induced risks disproportionately narrow the benefits of PV development in low- and lower-middle-income economies, where ELP risks rise at 1.8 times the global rate under SSP3-7.0. Our results underscore the need for coordinated mitigation and adaptation to secure power reliability in a changing climate.

Identifiers

PMID41372217
PMCPMC12819467

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.