Uniform cleaning ensures consistent DC input, reducing voltage fluctuations. A Madhya Pradesh plant cut dips by 70% post-TAYPRO.
Uniform cleaning ensures consistent DC input, reducing voltage fluctuations. A Madhya Pradesh plant cut dips by 70% post-TAYPRO.
Robots have adaptive treads and gyroscopic stabilization for slopes up to 18 degrees. Tested in Himachal’s hilly farms, they maintained 95% uptime.
TAYPRO addresses the critical challenge of dust and debris accumulation on solar panels, which can reduce energy output by up to 30%. In arid regions like Rajasthan or polluted urban areas like Delhi, dust layers block sunlight, create hotspots, and accelerate panel degradation. This leads to significant revenue loss (e.g., ₹2.5 crore/year for a 100 MW plant) and delayed ROI for solar operators. By automating cleaning with AI and robotics, TAYPRO ensures panels operate at peak efficiency, maximizing energy generation and sustainability.
Higher efficiency reduces the need for extra panels. A 500 MW farm saved 50 acres by avoiding panel expansion.
Manual cleaning costs ₹3–5 lakh/MW/year for labor and water. TAYPRO reduces this by 70%, with a 200 MW plant saving ₹3.29 crore annually. Over 20 years, manual costs exceed ₹60 crore, while TAYPRO’s one-time investment is ₹3.36 crore.
Robots clean 1–2 acres/hour, depending on soil levels. A 200 MW plant (500 acres) is cleaned in 10–15 days cyclically.
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