A group of scientists in China conducted a comprehensive review of existing low-cost photovoltaic monitoring approaches. They found that only 11 out of 88 studies related to PV monitoring incorporate machine learning. The researchers urge the scientific community to place greater emphasis on lightweight machine learning solutions and smartphone-based integration.
The researchers have used computational fluid dynamics-based modelling of snow patterns in an effort to establish best practices to mitigate snow accumulation in alpine PV plants.
EUPD Research explores India’s rapid solar manufacturing expansion, its growing export potential, competitiveness relative to China, and the evolving trade and sustainability dynamics shaping global PV markets.
In a new weekly update for pv magazine, OPIS, a Dow Jones company, provides a quick look at the main price trends in the global PV industry.
India’s Loom Solar says it will build a 1.2 GW module factory in the Indian state of Uttar Pradesh and expand production of high-efficiency tunnel oxide passivated contact (TOPCon) and heterojunction (HJT) modules.
Scientists in China have investigated how frame perforations can help reduce the operational temperatures of solar modules through air cooling. Their findings show that the number of perforations must be carefully calibrated, and that more is not necessarily better.
Commodity Trading Club (CTC) says Mexico, Peru, Bolivia, Chile, and Argentina together supply more than half the world’s silver output, a cornerstone metal for solar and clean-tech industries.
The cell reportedly exhibits only a 0.4% efficiency loss compared to a reference device that underwent full silver metallization.
An international team is proposing to use antimony-doped Czochralski-grown silicon as an alternative to n-type silicon for photovoltaic applications. Their analysis showed that 140 μm as-cut planar antimony-doped wafers exhibit slightly higher mechanical strength compared to common wafers doped with phosphorous.
Researchers in Spain reviewed six models used to calculate incidence angle modifier (IAM) losses in photovoltaic systems. They identified the Martín-Ruiz model as the most comprehensive, as it uniquely accounts for additional angular losses caused by soiling.
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