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Estudo de caso de implantação de robô de limpeza de painéis solares na Índia

Solar Panel Cleaning Robot in India

Client: 500MW Desert Solar Farm in Rajasthan & Urban Commercial Plant in Mumbai

Challenge: Dust accumulation (reducing efficiency by 25%-40% in dry seasons) and water scarcity in arid regions; pollution-induced grime in cities.

Solution 1: Automatic Solar Panel Cleaning Machine

 

Estudo de caso de implantação de robô de limpeza de painéis solares na Índia
https://todos-china.com/

Application Site: Rajasthan Desert Solar Farm

  • Key Features:
    • 100% dry sweeping with AI-optimized path planning (98.2% dust removal)
    • Modular design for 10km+ panel arrays, compatible with single-axis trackers
    • Zero water consumption, critical for desert regions with <200mm annual rainfall
    • Customizable night operation to avoid daytime power generation loss
Robôs de limpeza de painéis solares
https://todos-china.com/solar-panel-cleaning-machine/

Implementation:

  • Deployed 120 units across 2.8km², operating daily at 3:00-5:00 AM
  • Integrated with SCADA system for real-time soiling rate monitoring
  • Reduced manual labor by 90% (from 200 to 20 workers/month)

Results:

MetricBeforeAfter
Annual Yield780GWh928GWh (+19%)
O&M Cost₹1.2/MWh₹0.4/MWh
Water Saved18M liters/year0

Solution 2: Remote Control Solar Cleaning Robot

Robôs de limpeza solar automáticos
https://todos-china.com/solar-panel-washing-robot/

Application Site: 5MW Rooftop Plant in Mumbai

  • Key Features:
    • Dual-mode cleaning (dry/wet) for mixed pollution (dust + industrial residue)
    • 18kg lightweight design with foldable wheels for rooftop access
    • 4K camera with debris recognition (identifies bird droppings, cement particles, etc.)

Implementation:

  • 8 units serving 25,000 panels across 12 buildings
  • Semi-automatic operation via tablet (1 operator controls 3 robots simultaneously)
  • 30-minute quick-change battery system for continuous work

ROI Analysis:

  • Payback period: 14 months (vs 22 months for manual cleaning)
  • Achieved 21.5% efficiency recovery during monsoon smog periods
  • Reduced insurance claims for fall accidents by 100%

Comparative Advantage

FactorDesert ModelUrban Model
Cleaning CycleFixed dailyOn-demand (2-4x/week)
Speed0.8m/s0.5m/s (precision mode)
Slope Adaptability≤25°≤40° (for complex rooftops)
Data OutputPerformance logsTime-lapse cleanliness reports

Industry Feedback:

  • NTPC Ltd reported 23% reduction in module degradation rate after 18-month deployment
  • Tata Power achieved 102% IRR through combined use of both models in hybrid plants

Environmental Impact:

  • Equivalent to planting 8,700 neem trees annually in desert deployments
  • Prevented 450 tons of chemical cleaner discharge in urban areas

Data sources: NISE performance reports 2024; MNRE cleaning robotics guidelines

tag: India solar panel cleaning system

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