Evidence map›Paper›PMID 40089462›Full record

ArticleNature communications2025

Quantifying cascading power outages during climate extremes considering renewable energy integration.

Luo Xu, Ning Lin, H Vincent Poor, Dazhi Xi, A T D Perera

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Luo XuDepartment of Civil and Environmental Engineering, Princeton University, 08544, Princeton, NJ, USA. luoxu@princeton.edu.ORCID http://orcid.org/0000-0002-9978-4663
Ning LinDepartment of Civil and Environmental Engineering, Princeton University, 08544, Princeton, NJ, USA.ORCID http://orcid.org/0000-0002-5571-1606
H Vincent PoorDepartment of Electrical and Computer Engineering, Princeton University, 08544, Princeton, NJ, USA.ORCID http://orcid.org/0000-0002-2062-131X
Dazhi XiDepartment of Civil and Environmental Engineering, Princeton University, 08544, Princeton, NJ, USA.ORCID http://orcid.org/0000-0002-4096-8441
A T D PereraAndlinger Center for Energy and the Environment, Princeton University, 08544, Princeton, NJ, USA.ORCID http://orcid.org/0000-0002-0461-8874

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate extremes, such as hurricanes, combined with large-scale integration of environment-sensitive renewables, could exacerbate the risk of widespread power outages. We introduce a coupled climate-energy model for cascading power outages, which comprehensively captures the impacts of climate extremes on renewable generation, and transmission and distribution networks. The model is validated with the 2022 Puerto Rico catastrophic blackout during Hurricane Fiona - a unique system-wide blackout event with complete records of weather-induced outages. The model reveals a resilience pattern that was not captured by the previous models: early failure of certain critical components enhances overall system resilience. Sensitivity analysis on various scenarios of behind-the-meter solar integration demonstrates that lower integration levels (below 45%, including the current level) exhibit minimal impact on system resilience in this event. However, surpassing this critical level without pairing it with energy storage can exacerbate the probability of catastrophic blackouts.

Identifiers

PMID40089462
PMCPMC11910528

What OpenQuestion holds

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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.