AI skips cleaning during heavy rain and prioritizes post-monsoon cycles to remove mud. At Kochi’s 50 MW plant, this cut algae-related losses by ₹60 lakh/year.
AI skips cleaning during heavy rain and prioritizes post-monsoon cycles to remove mud. At Kochi’s 50 MW plant, this cut algae-related losses by ₹60 lakh/year.
Dust accumulation of 5–10g/m² (common in Rajasthan’s deserts) reduces efficiency by 20–30%. Without cleaning, a 200 MW plant loses ₹26.5+ crore/year in revenue. TAYPRO’s robots maintain 95–99% efficiency, recovering ₹3.29 crore annually for the same plant.
IoT sensors detect anomalies (e.g., motor failure, stuck brushes) and trigger real-time alerts. Operators receive SMS/email notifications and can dispatch repair teams the same day.
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.
Non-abrasive cleaning keeps warranties valid. For example, Waaree’s 25-year warranty remained intact post-TAYPRO deployment in Gujarat.
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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