Deployment case study

Ahmadnagar-Gundegaon Solar Plant Case Study: 4 MW Waterless Robotic Cleaning Project in Maharashtra

Last updated 22 June 20266 min read

4 MW · Ahmadnagar- Gundegaon · NYUMA · Semi-automatic · 2 robots · saves 560 thousand litres · +150 MWh/yr

Semi-AutomaticCapex2 semi-auto robotsNYUMAGround Mount

Capacity

4 MW

Fleet

2 robots

Location

Maharashtra

Deployment

Semi-Automatic

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Ahmadnagar- Gundegaon – 4 MW - Solar Panel Cleaning Robot Installation Project by Taypro

Executive summary

Maintaining consistent solar plant performance requires more than installing quality modules and inverters. In regions where dust accumulation is a recurring challenge, a disciplined cleaning strategy plays a critical role in protecting energy generation and ensuring long-term asset performance.

At the Ahmadnagar-Gundegaon solar plant in Maharashtra, Taypro deployed its NYUMA semi-automatic robotic cleaning solution to help the site transition from traditional cleaning practices to a structured, waterless maintenance program. Implemented under a CAPEX ownership model, the project introduced scheduled robotic cleaning, inspection-based verification, and weather-aware operating procedures designed to improve cleaning consistency while reducing water consumption.

Today, two NYUMA semi-automatic robotic cleaners support the 4 MW ground-mounted solar facility, helping operators maintain cleaner modules, improve maintenance visibility, and reduce dependence on water-intensive cleaning methods.


Project Overview

Parameter Details
Project Name Ahmadnagar-Gundegaon Solar Plant
Location Maharashtra, India
Plant Capacity 4 MW
Cleaning Technology NYUMA Semi-Automatic Solar Cleaning Robots
Total Fleet 2 NYUMA Portable Units
Robot Density ~0.50 Robots per MW
Cleaning Method Waterless Robotic Cleaning
Ownership Model CAPEX
Monitoring Approach Inspection-Led Cleaning Plans
Reported Water Savings ~560,000 Litres Per Year
Reported Generation Uplift ~150 MWh Per Year
Reported Carbon Reduction ~74 tCO₂e Per Year

The Challenge: Managing Dust and Performance Across a 4 MW Solar Asset

Like many utility-scale solar installations across Maharashtra, the Gundegaon project experiences periodic dust accumulation driven by agricultural activity, dry seasonal conditions, local traffic movement, and wind-blown particulate matter.

Although dust may appear insignificant on a day-to-day basis, gradual soiling can reduce the amount of sunlight reaching solar cells, affecting plant performance over time. For operators managing a 4 MW asset, maintaining cleaning frequency without excessive labour requirements or water consumption can become a significant operational challenge.

Prior to robotic cleaning, maintaining consistent cleaning schedules often depended on workforce availability, weather conditions, and water logistics. As the site sought a more predictable maintenance framework, robotic cleaning emerged as a practical solution.


Why NYUMA Was Selected

Taypro's NYUMA semi-automatic robotic cleaning platform was chosen because it combines flexibility, operational simplicity, and waterless cleaning capability.

Unlike fixed infrastructure cleaning systems, NYUMA portable robots can be deployed across multiple blocks of the solar plant based on operational priorities. This flexibility allows site teams to respond quickly to seasonal dust patterns and changing maintenance requirements.

With two NYUMA units serving the 4 MW facility, the deployment achieves approximately 0.50 robots per MW, providing effective cleaning coverage while maintaining cost efficiency.

The waterless cleaning methodology also helps eliminate recurring dependence on wet-cleaning practices, reducing both water usage and maintenance complexity.


Structured Cleaning Through Inspection-Based Operations

A defining feature of the Gundegaon deployment is its emphasis on operational discipline and documented cleaning execution.

Rather than relying on reactive cleaning schedules, the plant follows weekly block plans that identify priority cleaning areas and establish clear maintenance objectives. Completed activities are verified through inspection sign-off, creating an auditable record of cleaning performance.

This structured approach provides operators with greater visibility into cleaning operations and helps ensure that maintenance activities remain aligned with plant performance goals.

Key responsibilities include:

  • Weekly cleaning schedule planning
  • Inspection-based completion verification
  • Brush maintenance and replacement tracking
  • Weather-related cleaning holds
  • Cleaning rescheduling and reporting
  • Preventive maintenance oversight

Weather-Aware Cleaning Strategy

Robotic cleaning at Gundegaon is designed around actual site conditions rather than rigid daily cleaning schedules.

During dry and dusty periods, cleaning resources are focused on blocks that show higher rates of soiling or operational sensitivity. Areas located near roads, access routes, and prevailing wind directions often receive priority attention because dust tends to accumulate more quickly in these locations.

Following effective rainfall events, cleaning activities may be temporarily reduced as natural rinsing lowers immediate cleaning requirements. Wind conditions are also monitored before cleaning operations begin to ensure safe and effective robotic movement.

This weather-aware approach helps optimize cleaning efficiency while avoiding unnecessary operational activity.


Water Conservation and Sustainability Benefits

One of the most significant outcomes of the project is the reduction in water consumption.

By replacing routine wet-cleaning activities with waterless robotic cleaning, the plant reports annual water savings of approximately 560,000 litres. This reduction supports both environmental sustainability goals and operational efficiency objectives.

For solar asset owners operating in regions where water availability is increasingly important, reducing dependence on water-intensive maintenance can deliver long-term strategic value.


Supporting Higher Energy Generation

Consistent module cleanliness contributes directly to maintaining energy production and reducing avoidable performance losses caused by dust accumulation.

According to site-reported operational data, the robotic cleaning program contributes approximately 150 MWh of additional annual energy generation.

While actual results vary based on weather conditions, site design, and cleaning frequency, maintaining regular cleaning intervals helps support more stable plant performance throughout the year.

As with any solar performance analysis, generation uplift figures should be validated using project-specific SCADA data and performance review methodologies.


Environmental Impact

Beyond operational benefits, the Gundegaon project contributes to broader sustainability objectives.

Based on reported performance outcomes, the site is associated with approximately 74 metric tons of carbon dioxide equivalent reduction annually. Combined with significant water savings, these outcomes strengthen environmental reporting and ESG initiatives for asset owners and stakeholders.


Commissioning and Deployment Process

The deployment process focused on integrating robotic cleaning into existing operations while ensuring long-term reliability.

Commissioning activities included:

  • Site layout assessment and route planning
  • Identification of priority cleaning zones
  • Operator training and safety procedures
  • Development of cleaning schedules
  • Inspection workflow implementation
  • Preventive maintenance planning

Following commissioning, robotic cleaning became part of the plant's regular operations and maintenance program.


Lessons for Solar Asset Owners

The Ahmadnagar-Gundegaon project demonstrates how robotic cleaning can help solar operators build a more resilient maintenance strategy while reducing resource consumption.

  • Waterless cleaning reduces dependence on tanker-based maintenance.
  • Inspection-led operations improve cleaning accountability.
  • Scheduled cleaning supports more predictable plant performance.
  • Portable robotic systems provide flexibility across multiple blocks.
  • Documented maintenance processes strengthen operational transparency.

Project Results Summary

Metric Reported Result
Plant Capacity 4 MW
Robotic Fleet 2 NYUMA Semi-Automatic Robots
Water Savings ~560,000 Litres Per Year
Additional Energy Generation ~150 MWh Per Year
Carbon Reduction ~74 tCO₂e Per Year
Ownership Model CAPEX

Conclusion

The Ahmadnagar-Gundegaon solar project demonstrates how robotic cleaning can support efficient operations, resource conservation, and consistent energy generation at a mid-sized utility-scale solar facility.

Using two NYUMA semi-automatic robotic cleaners supported by structured inspection procedures and planned cleaning schedules, the site established a repeatable maintenance framework that helps improve operational visibility while reducing water consumption.

For solar asset owners evaluating robotic cleaning solutions, Gundegaon illustrates how a focused deployment can deliver measurable environmental and operational benefits while supporting long-term plant performance.

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

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