Evidence map›Paper›PMID 42844275›Full record

ArticleLight, science & applications2026

Photonic thermal management of overhead cables via high-thermal-conductivity radiative cooling.

Kai Xu, Peng-Fei Cao, Jehad K El-Demellawi, Hussam Qasem, Qiaoqiang Gan

Abstract read
In one paragraph

Article in Light, science & applications, 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

5 authors.

Kai XuDivision of Physical Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Peng-Fei CaoState Key Laboratory of Organic-Inorganic Composites, College of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing, China.
Jehad K El-DemellawiCenter for Renewable Energy and Storage Technologies (CREST), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
Hussam QasemFuture Energy Technology Institute, King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia.
Qiaoqiang GanDivision of Physical Science and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. qiaoqiang.gan@kaust.edu.sa.ORCID http://orcid.org/0000-0001-8309-5081

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the thermal backbone of urban energy infrastructure, transmission cables directly affect the stability and resilience of modern cities. However, high operating temperatures, driven by Joule heating and solar radiation, critically limit the ampacity of overhead transmission lines, particularly under extreme climate conditions. Such high temperatures constrain electricity delivery and pose systemic risks to essential services and long-term urban sustainability. To overcome this challenge, we adopt a high thermal conductivity radiative cooling (HTCRC) coating comprising hexagonal boron nitride (h-BN) nanoparticles embedded in a polydimethylsiloxane matrix to reduce cable temperature. Enabled by photonic thermal management, this composite structure simultaneously achieves high solar reflectance (0.92) through efficient light scattering, strong mid-infrared emissivity via polymer vibrational modes (0.95), and enhanced thermal conductivity (1.28 W m⁻¹ K⁻¹). Outdoor experiments demonstrate notable daytime cooling of simulated HTCRC-coated power cables, maintaining safe operating temperatures even under intense solar exposure. In addition, thermal modeling based on the CIGRE 601 standard reveals a 6-10% increase in ampacity across representative hot-climate cities globally. These findings highlight high thermal conductivity radiative cooling as an effective and scalable strategy to enhance urban power grid performance, improve energy delivery security, and support the development of climate-resilient cities under rapidly growing electricity demand driven by electrification and the expanding energy footprint of artificial intelligence.

Identifiers

PMID42844275
PMCPMC13645785

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.