As solar plants grow increasingly focused on operational efficiency, maintaining clean solar modules remains one of the most important factors influencing long-term energy generation. At the Ahmadnagar-Manik Daundi solar plant in Maharashtra, the objective was straightforward: establish a reliable, water-efficient cleaning program that could maintain panel performance while reducing dependence on conventional manual washing methods.
To support these goals, the plant implemented Taypro's NYUMA semi-automatic robotic cleaning solution under a CAPEX ownership model. The deployment introduced structured waterless cleaning supported by weekly block planning, inspection-led verification, and documented maintenance procedures.
Today, two NYUMA semi-automatic robotic cleaners provide cleaning coverage across the 3 MW facility, helping site operators maintain module cleanliness while improving operational accountability and reducing water consumption.
Project Overview
Parameter | Details |
|---|---|
Project Name | Ahmadnagar-Manik Daundi Solar Plant |
Location | Maharashtra, India |
Plant Capacity | 3 MW |
Cleaning Technology | NYUMA Semi-Automatic Solar Cleaning Robots |
Total Robotic Fleet | 2 NYUMA Units |
Robot Density | ~0.67 Robots per MW |
Cleaning Method | Waterless Robotic Cleaning |
Ownership Model | CAPEX |
Operations Approach | Inspection-Led Cleaning Plans |
Reported Water Savings | ~420,000 Litres Per Year |
Reported Additional Generation | ~112.5 MWh Per Year |
Reported Carbon Reduction | ~56 tCO₂e Per Year |
The Challenge: Maintaining Solar Performance on a Smaller Utility Asset
Although smaller than many utility-scale solar projects, the Ahmadnagar-Manik Daundi facility faces the same operational challenge encountered across solar assets throughout Maharashtra: dust accumulation.
Agricultural activity, dry weather conditions, and local transportation corridors contribute to gradual soiling of module surfaces. Without regular cleaning, dust buildup can reduce solar irradiance reaching the cells, leading to energy losses that accumulate over time.
For a 3 MW asset, even modest reductions in performance can have a measurable impact on annual energy production. The site required a cleaning solution capable of maintaining cleaning frequency without increasing water consumption or operational complexity.
Why NYUMA Was the Right Fit
The plant selected Taypro's NYUMA semi-automatic robotic cleaning system because it offered a practical balance between automation, flexibility, and cost efficiency.
Unlike large autonomous fleets designed for hundreds of megawatts, NYUMA's portable architecture allows operators to move robotic cleaning equipment across multiple sections of the plant while maintaining structured cleaning schedules.
With two robots serving a 3 MW facility, the deployment achieves approximately 0.67 robots per MW, providing strong cleaning coverage while allowing technicians to prioritize high-soiling zones throughout the year.
The waterless cleaning process further eliminates routine dependence on tanker-supplied water and wet-cleaning logistics.
Inspection-Led Operations and Cleaning Accountability
A key component of the Manik Daundi deployment is its inspection-based operating model.
Rather than relying exclusively on automated scheduling systems, site teams execute weekly block cleaning plans supported by documented inspection sign-offs. Every completed cleaning activity is recorded, creating a clear operational history that can be reviewed alongside plant performance data.
This structured process improves accountability and helps ensure cleaning activities are completed according to plan.
Operational responsibilities include:
Weekly cleaning plan execution
Inspection-based cleaning verification
Brush maintenance and condition monitoring
Weather-related operational holds
Cleaning rescheduling when required
Maintenance reporting and record keeping
Weather-Aware Cleaning Strategy
Robotic cleaning at Ahmadnagar-Manik Daundi follows a planned maintenance strategy rather than a fixed daily wash schedule.
Cleaning frequency is adjusted according to weather conditions, seasonal dust activity, and operational priorities. During dry months, cleaning efforts are concentrated on sections showing the highest dust accumulation or performance deviation.
After significant rainfall events, cleaning activities may be temporarily reduced because natural rinsing lowers immediate cleaning requirements. Wind conditions are also evaluated before robotic cleaning operations begin.
This weather-aware approach helps maximize cleaning effectiveness while avoiding unnecessary maintenance activity.
Water Savings and Resource Efficiency
One of the most visible benefits of the deployment is the reduction in water consumption.
By replacing routine wet-cleaning activities with waterless robotic cleaning, the plant reports annual water savings of approximately 420,000 litres.
For solar asset owners, reducing water dependency not only lowers direct operating costs but also simplifies maintenance planning and reduces logistical challenges associated with water transportation and storage.
These savings become increasingly important as sustainability goals and resource-efficiency requirements continue to evolve across the energy sector.
Energy Generation Benefits
Maintaining cleaner modules helps reduce energy losses associated with dust accumulation and supports more consistent plant performance throughout the year.
According to site-reported operational data, the robotic cleaning program contributes approximately 112.5 MWh of additional annual energy generation.
While generation improvements vary depending on site conditions and weather patterns, maintaining regular cleaning intervals helps protect energy output and reduce soiling-related losses.
Plant owners should validate generation-attribution assumptions through SCADA analysis and project-specific performance reviews before applying results to investment models.

Environmental Impact
In addition to supporting renewable energy generation, the project contributes to broader environmental objectives.
Based on reported performance outcomes, the site is associated with approximately 56 metric tons of CO₂ equivalent reduction annually.
Combined with significant water savings, these outcomes support sustainability reporting, ESG initiatives, and long-term environmental stewardship goals.
Commissioning and Deployment Process
The implementation process focused on ensuring efficient cleaning coverage while integrating robotic cleaning into routine site operations.
Key commissioning activities included:
Site layout assessment and route planning
Identification of priority cleaning zones
Operator training and safety procedures
Cleaning workflow development
Inspection and reporting setup
Preventive maintenance planning
Following handover, robotic cleaning became part of the plant's ongoing operations and maintenance program.
Key Lessons for Solar Asset Owners
The Ahmadnagar-Manik Daundi project demonstrates that robotic cleaning can provide measurable value even at smaller utility-scale capacities.
Waterless robotic cleaning reduces reliance on water-intensive maintenance methods.
Structured cleaning plans improve operational visibility.
Inspection-based verification creates accountability and documentation.
Regular cleaning supports long-term energy generation performance.
Semi-automatic robotic systems offer flexibility for smaller solar assets.
Project Results Summary
Metric | Reported Result |
|---|---|
Plant Capacity | 3 MW |
Robotic Fleet | 2 NYUMA Semi-Automatic Robots |
Water Savings | ~420,000 Litres Per Year |
Additional Energy Generation | ~112.5 MWh Per Year |
Carbon Reduction | ~56 tCO₂e Per Year |
Ownership Model | CAPEX |
Conclusion
The Ahmadnagar-Manik Daundi solar project demonstrates how a compact robotic cleaning deployment can improve operational consistency, reduce water consumption, and support energy generation at a 3 MW utility-scale facility.
Using two NYUMA semi-automatic cleaning robots supported by structured inspection processes and planned cleaning schedules, the plant established a repeatable maintenance framework designed to improve cleaning quality and long-term operational performance.
For solar asset owners seeking practical and scalable waterless cleaning solutions, Ahmadnagar-Manik Daundi provides a strong example of how robotic cleaning technology can deliver measurable operational and environmental benefits without the complexity of large-scale automation deployments.
All water savings, generation uplift, and carbon reduction figures are site-reported and should be independently validated using SCADA data, performance analysis, and project-specific operating assumptions.





