Deployment case study

Ahmadnagar-Durgaon Solar Plant Case Study: 5 MW Waterless Robotic Cleaning Deployment in Maharashtra

Last updated 9 June 20266 min read

5 MW · Ahmadnagar- Durgaon · NYUMA · Semi-automatic · 2 robots · saves 700 thousand litres · +187.5 MWh/yr

Semi-AutomaticCapex2 semi-auto robotsNYUMAGround Mount

Capacity

5 MW

Fleet

2 robots

Location

Maharashtra

Deployment

Semi-Automatic

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Ahmadnagar-Durgaon Solar Plant Case Study: 5 MW Waterless Robotic Cleaning Deployment in Maharashtra, solar panel cleaning robot project, 5 MW · Maharashtra · Ground Mount · 0 auto robots ...

Maintaining consistent solar performance requires more than installing quality modules and inverters. Over time, dust accumulation can reduce energy generation, increase operational complexity, and create uncertainty around cleaning effectiveness. At the Ahmadnagar-Durgaon solar plant in Maharashtra, the challenge was clear: establish a reliable cleaning program that could improve cleaning consistency while reducing water consumption and strengthening operational accountability.

To achieve these objectives, the plant deployed Taypro's NYUMA semi-automatic robotic cleaning solution. Operating under a CAPEX ownership model, the project introduced a structured waterless cleaning approach supported by weekly block plans, inspection-led verification, and documented cleaning records.

Today, two NYUMA semi-automatic robotic cleaners support cleaning operations across the 5 MW facility, helping site teams maintain cleaner modules while reducing dependence on traditional wet-cleaning methods.


Project Overview

Parameter

Details

Project Name

Ahmadnagar-Durgaon Solar Plant

Location

Maharashtra, India

Plant Capacity

5 MW

Cleaning Technology

NYUMA Semi-Automatic Solar Cleaning Robots

Total Robotic Fleet

2 NYUMA Units

Robot Density

~0.40 Robots per MW

Cleaning Method

Waterless Robotic Cleaning

Ownership Model

CAPEX

Operations Monitoring

Inspection-Led Cleaning Plans

Reported Water Savings

~700,000 Litres Per Year

Reported Generation Improvement

~187.5 MWh Per Year

Reported Carbon Reduction

~93 tCO₂e Per Year


The Challenge: Maintaining Performance in Dust-Prone Conditions

The Ahmadnagar region experiences recurring dust exposure from agricultural activity, local transportation corridors, and seasonal environmental conditions. While soiling levels can vary throughout the year, even moderate dust accumulation can gradually reduce solar module efficiency when cleaning intervals become inconsistent.

Before adopting robotic cleaning, maintaining regular cleaning schedules required significant labor coordination and water logistics. Cleaning documentation was often limited, making it difficult to correlate cleaning activities with plant performance data or demonstrate cleaning compliance during operational reviews.

The site needed a cleaning strategy that could improve consistency, reduce water dependency, and create a documented process for tracking cleaning activity across the plant.


Why NYUMA Semi-Automatic Robots Were Selected

For a 5 MW solar asset, flexibility and operational simplicity were key decision factors. Rather than investing in a larger autonomous fleet, the plant selected two NYUMA semi-automatic robotic cleaners capable of delivering waterless cleaning across the entire facility.

The portable design allows technicians to efficiently move equipment between cleaning zones while maintaining structured cleaning coverage. This approach provides an effective balance between automation and operational control, particularly for small and medium-scale solar installations.

At approximately 0.40 robots per MW, the deployment was designed around actual site requirements and cleaning objectives rather than generic fleet-density benchmarks.


Inspection-Led Operations and Accountability

A distinguishing feature of the Ahmadnagar-Durgaon project is its emphasis on documented cleaning accountability.

Cleaning activities are organized through weekly block plans that identify priority cleaning areas and scheduled work windows. Upon completion, technicians record inspection sign-offs that verify cleaning activity and provide an auditable operational trail.

This inspection-led model ensures that cleaning performance is not dependent on assumptions or visual observations alone. Plant managers can review documented cleaning records and compare them against performance trends when evaluating operational effectiveness.

Key operational responsibilities include:

  • Execution of weekly cleaning schedules

  • Cleaning verification through inspection sign-off

  • Brush maintenance and performance checks

  • Weather-based operational holds

  • Rescheduling of postponed cleaning activities

  • Maintenance reporting and record management


Weather-Aware Cleaning Strategy

Robotic cleaning at Ahmadnagar-Durgaon follows a planned maintenance strategy rather than a fixed daily washing schedule.

Cleaning frequency is adjusted according to weather conditions, observed soiling levels, and operational priorities. During dry and dusty months, technicians focus on areas showing the highest dust accumulation, including downwind rows and sections exposed to nearby road activity.

After effective rainfall events, cleaning activities may be deferred because natural rinsing reduces immediate cleaning requirements. Wind conditions are also considered before cleaning begins, ensuring safe and effective robotic operation.

This adaptive approach allows resources to be directed where they deliver the greatest operational value.


Water Savings and Sustainability Benefits

Water conservation is becoming an increasingly important consideration for solar asset owners across India. Traditional wet-cleaning programs often require significant water transportation, storage, and handling resources.

By implementing waterless robotic cleaning, the Ahmadnagar-Durgaon project reports annual water savings of approximately 700,000 litres compared with conventional cleaning practices.

In addition to reducing water consumption, the project lowers dependence on tanker deliveries and minimizes operational disruptions associated with manual washing activities.

These benefits contribute directly to both sustainability goals and long-term operational efficiency.

Semi Automatic

Energy Generation Impact

The ultimate objective of solar cleaning is to protect energy production by reducing soiling-related losses.

According to site-reported data, the cleaning program contributes approximately 187.5 MWh of additional annual energy generation. Maintaining cleaner module surfaces throughout the year helps reduce performance degradation caused by dust accumulation and supports more predictable plant output.

While energy gains vary by site conditions and environmental factors, documented cleaning schedules provide a stronger foundation for analyzing performance improvements through SCADA systems and inverter-level data.

Plant owners should independently validate generation-related assumptions using project-specific performance analysis before applying results to investment decisions.


Environmental Impact

The combination of water savings and improved renewable energy generation contributes to a positive environmental outcome for the site.

Based on reported operating data, the project is associated with approximately 93 metric tons of CO₂ equivalent reduction annually.

These metrics can support ESG reporting, sustainability initiatives, and stakeholder communications while demonstrating the broader value of robotic cleaning technologies beyond operational efficiency alone.


Commissioning and Site Integration

The deployment process focused on ensuring efficient cleaning coverage and smooth integration into existing O&M workflows.

Commissioning activities included:

  • Cleaning route assessment and planning

  • Identification of priority soiling zones

  • Operator training and safety procedures

  • Inspection process development

  • Preventive maintenance planning

  • Operational handover and documentation

Following commissioning, robotic cleaning became an integrated component of the plant's routine maintenance strategy.


Key Lessons for Solar Plant Owners

The Ahmadnagar-Durgaon project demonstrates that robotic cleaning can deliver measurable benefits even at relatively modest utility-scale capacities.

  • Waterless cleaning reduces reliance on water-intensive maintenance practices.

  • Inspection-led accountability strengthens operational transparency.

  • Semi-automatic robotic systems provide flexibility without excessive infrastructure requirements.

  • Regular cleaning helps maintain energy production and reduce soiling-related losses.

  • Documented cleaning records support performance analysis and operational reviews.


Project Results Summary

Metric

Reported Result

Plant Capacity

5 MW

Robotic Fleet

2 NYUMA Semi-Automatic Robots

Water Savings

~700,000 Litres Per Year

Additional Generation

~187.5 MWh Per Year

Carbon Reduction

~93 tCO₂e Per Year

Ownership Model

CAPEX


Conclusion

The Ahmadnagar-Durgaon solar project highlights how a focused robotic cleaning strategy can improve operational consistency, reduce water consumption, and support long-term solar performance at a 5 MW utility-scale facility.

Using two NYUMA semi-automatic cleaning robots, documented inspection processes, and structured cleaning schedules, the plant established a repeatable maintenance framework that balances operational efficiency with sustainability objectives.

For solar asset owners evaluating robotic cleaning solutions, Ahmadnagar-Durgaon provides a practical example of how waterless cleaning technology can be integrated into everyday operations while delivering measurable environmental and performance benefits.

All water savings, generation improvement, and carbon reduction figures are site-reported and should be independently validated using SCADA data, performance analysis, and project-specific operating assumptions.

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