Developing hydrogen-powered robots for off-grid farms, AI-driven drone swarms for inspections, and predictive analytics for inverter health.
Developing hydrogen-powered robots for off-grid farms, AI-driven drone swarms for inspections, and predictive analytics for inverter health.
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.
Manual cleaning requires 10–15 workers/MW, costing ₹3–5 lakh/MW/year. TAYPRO’s robots eliminate 70–100% of labor needs, saving ₹3.6+ crore/year for a 200 MW plant. Operators reallocate staff to higher-skilled roles like data analysis or maintenance.
Yes. APIs sync robot data (cleaning cycles, efficiency metrics) with SCADA in <48 hours. At Adani Solar’s plant, this integration reduced manual reporting by 80%.
AI predicts sandstorms 6–12 hours ahead using satellite wind data. Post-storm, robots deploy immediately, reducing downtime by 50%. At Bhadla Solar Park (Rajasthan), this recovered ₹2.1 crore in potential losses during 2023’s storm season.
Compatible with fixed-tilt (25°–35°), seasonal adjustments, and single-axis trackers. At a 150 MW tracking plant in Karnataka, alignment adaptability boosted yield by 12%.
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