AI predicts output based on cleaning schedules and weather. A Karnataka plant improved forecasting accuracy by 25%, aiding grid management.
No, the solar module cleaning system does not require water for cleaning. Our robots work on the complete waterless dual-pass cleaning method. This method includes airflow and microfibre cloth for deep and safe cleaning of the solar panels.
Developing hydrogen-powered robots for off-grid farms, AI-driven drone swarms for inspections, and predictive analytics for inverter health.
Hotspots are localized areas of overheating caused by uneven dust layers, debris, or faulty cells. They reduce panel lifespan by 2–3 years and increase fire risks. TAYPRO’s robots prevent hotspots via uniform cleaning and thermal sensors that alert operators to anomalies, enabling immediate repairs.
Robots use gentle vibrations to shake off light snow without damaging panels. In Uttarakhand, this reduced manual snow-clearing labor by 80%.
Traditional stiff brushes scratch panels, reducing efficiency by 2–3%/year. TAYPRO uses contactless air jets and microfiber with 12,000 fibers/cm², certified non-abrasive under ISO 9022-13.
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