Evidence map›Paper›PMID 38890272›Full record

ArticleNature communications2024

Climate change impacts on the extreme power shortage events of wind-solar supply systems worldwide during 1980-2022.

Dongsheng Zheng, Dan Tong, Steven J Davis, Yue Qin, Yang Liu, Ruochong Xu, Jin Yang, Xizhe Yan, Guannan Geng, Huizheng Che and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

11 authors.

Dongsheng ZhengMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, 100084, Beijing, China.ORCID http://orcid.org/0000-0001-9712-5456
Dan TongMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, 100084, Beijing, China. dantong@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-3787-0707
Steven J DavisDepartment of Earth System Science, University of California, Irvine, Irvine, CA, 92697, USA.ORCID http://orcid.org/0000-0002-9338-0844
Yue QinCollege of Environmental Science and Engineering, Peking University, 100871, Beijing, China.ORCID http://orcid.org/0000-0003-1664-4516
Yang LiuMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, 100084, Beijing, China.
Ruochong XuMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, 100084, Beijing, China.
Jin YangMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, 100084, Beijing, China.
Xizhe YanMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, 100084, Beijing, China.ORCID http://orcid.org/0000-0002-1845-9579
Guannan GengState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, 100084, Beijing, China.ORCID http://orcid.org/0000-0002-1605-8448
Huizheng CheState Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, 100081, Beijing, China.ORCID http://orcid.org/0000-0002-9458-3387
Qiang ZhangMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, 100084, Beijing, China.ORCID http://orcid.org/0000-0002-8376-131X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Economic productivity depends on reliable access to electricity, but the extreme shortage events of variable wind-solar systems may be strongly affected by climate change. Here, hourly reanalysis climatological data are leveraged to examine historical trends in defined extreme shortage events worldwide. We find uptrends in extreme shortage events regardless of their frequency, duration, and intensity since 1980. For instance, duration of extreme low-reliability events worldwide has increased by 4.1 hours (0.392 hours per year on average) between 1980-2000 and 2001-2022. However, such ascending trends are unevenly distributed worldwide, with a greater variability in low- and middle-latitude developing countries. This uptrend in extreme shortage events is driven by extremely low wind speed and solar radiation, particularly compound wind and solar drought, which however are strongly disproportionated. Only average 12.5% change in compound extremely low wind speed and solar radiation events may give rise to over 30% variability in extreme shortage events, despite a mere average 1.0% change in average wind speed and solar radiation. Our findings underline that wind-solar systems will probably suffer from weakened power security if such uptrends persist in a warmer future.

Identifiers

PMID38890272
PMCPMC11189577

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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.