ArticleiScience2026
Hail as a damage vector for renewable energy.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hundreds of thousands of wind turbines and billions of solar photovoltaic (PV) panels are operating worldwide. Reliability, power production and operations, and maintenance costs for these electricity generation sources depend on operating conditions, including severe meteorological events such as hail frequency and size. Information necessary to undertake cost-benefit analyses of hail damage mitigation options is lacking. Novel, robust, and transferable models are presented that quantitatively describe the geospatial and temporal variability of hail damage in terms that are directly applicable to the wind and solar industries. Results are illustrated for the continental US In the south-central US, where 44% of wind turbine assets are located, blade coatings are predicted to fail at least once during the 25-year lifetime due to precipitation-induced erosion, with hail contributing 38% of the damage on average. The southeast region (28% of solar PV) is predicted to experience ≥20 potentially damaging hail events per year.
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Registered trials
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