Yes. TAYPRO’s adjustable nozzles clean both sides of bifacial panels. In Gujarat’s 100 MW bifacial plant, robots boosted energy gain by 18% by removing dust from rear panels, which manual crews often neglect.
Yes. TAYPRO’s adjustable nozzles clean both sides of bifacial panels. In Gujarat’s 100 MW bifacial plant, robots boosted energy gain by 18% by removing dust from rear panels, which manual crews often neglect.
Convolutional Neural Networks (CNNs) for dust prediction and Reinforcement Learning (RL) for adaptive scheduling. Trained on 5+ years of Indian weather data.
A 100 MW plant regains 15–20% efficiency, saving ₹1.8–2.4 crore/year (at ₹3/kWh). In Karnataka, this funded a ₹50 lakh CSR water project.
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.
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.
Non-abrasive cleaning limits degradation to 0.5%/year vs. 2%/year with manual brushes. A 10-year study at NTPC’s Rajasthan plant confirmed TAYPRO-maintained panels retained 92% efficiency after a decade.
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