As solar power projects continue to scale across India, maintaining module cleanliness has become one of the biggest challenges impacting plant performance. Dust accumulation, water scarcity, rising labor costs, and the need for consistent cleaning cycles often make traditional cleaning methods inefficient for utility-scale projects.
To address these challenges, Taypro deployed a comprehensive robotic solar cleaning solution at the 200 MW Agar Solar Power Plant in Madhya Pradesh. The project combines automatic and semi-automatic robotic cleaning systems, enabling waterless module cleaning, higher energy generation, improved operational visibility, and measurable sustainability benefits.
Project Overview
Parameter | Details |
|---|---|
Project Location | Agar, Madhya Pradesh, India |
Plant Capacity | 200 MW |
Cleaning Technology | Robotic Waterless Solar Module Cleaning |
Automatic Robots | 265 GLYDE Units |
Semi-Automatic Robots | 7 Units |
Total Fleet Size | 272 Robots |
Procurement Model | CAPEX |
Monitoring Platform | NECTYR Fleet Management System |
Commissioned | 2024 |

The Challenge
Located in a high-dust region of Madhya Pradesh, the Agar Solar Plant experiences frequent soiling of solar modules throughout the year. Dust accumulation directly impacts energy generation and plant performance ratio (PR), making regular cleaning essential.
Before robotic cleaning implementation, maintaining a 200 MW solar asset through conventional cleaning methods posed several operational challenges:
High water consumption for module cleaning
Dependence on large cleaning crews
Inconsistent cleaning schedules
Difficulty tracking cleaning completion across large blocks
Rising operational expenditure
Generation losses due to delayed cleaning cycles
Plant operators required a scalable, reliable, and sustainable solution capable of maintaining performance without increasing operational complexity.

Taypro's Robotic Cleaning Solution
Taypro designed and deployed a hybrid robotic cleaning ecosystem specifically tailored to the plant layout and operational requirements.
The solution consists of 265 GLYDE Automatic Robotic Cleaners and 7 Semi-Automatic Cleaning Units strategically deployed across the solar field. This mixed-fleet architecture ensures maximum coverage while maintaining flexibility in irregular or difficult-to-access zones.
The robots perform fully waterless dry cleaning using specially engineered brush systems designed for utility-scale solar applications. Cleaning cycles are scheduled during non-generation hours, allowing modules to remain clean without affecting energy production.

Key Features of the Deployment
Waterless solar module cleaning
Automated cleaning schedules
Remote fleet monitoring
Block-level cleaning verification
Predictive maintenance alerts
Reduced dependence on manual labor
Scalable operation for utility-scale plants
Night-time cleaning cycles
NECTYR Monitoring Platform
A major differentiator of the project is the integration of Taypro's NECTYR monitoring platform.
NECTYR provides complete visibility into robotic fleet operations, enabling plant operators to monitor cleaning status, track completed cycles, identify maintenance requirements, and generate operational reports from a centralized dashboard.
This level of transparency transforms cleaning activities from a manual process into a measurable operational asset with clear accountability and performance tracking.
Implementation & Commissioning
The deployment process involved detailed site assessment, route planning, robotic path validation, charging station placement, operational testing, and workforce training.
Taypro engineers worked closely with the plant operations team to ensure seamless integration with existing maintenance workflows. Technicians received hands-on training covering robotic operation, preventive maintenance, troubleshooting procedures, and performance monitoring.
Following commissioning, the robotic fleet was integrated into the plant's routine O&M schedule, allowing cleaning operations to become a predictable and measurable part of plant performance management.
Results & Business Impact
Since deployment, the Agar Solar Plant has reported significant operational and sustainability benefits.
Performance Indicator | Reported Outcome |
|---|---|
Annual Water Savings | ~28 Million Liters |
Additional Energy Generation | ~7.5 GWh Per Year |
CO₂ Emissions Avoided | ~3,720 Metric Tons Annually |
Total Robotic Fleet | 272 Units |
Cleaning Method | 100% Waterless |
Environmental Impact
Water conservation remains one of the most important advantages of robotic solar cleaning, particularly in water-stressed regions.
By eliminating routine wet cleaning, the Agar Solar Plant now saves approximately 28 million liters of water annually. This not only reduces operating costs but also supports responsible resource management and sustainability objectives.
The additional clean energy generation achieved through consistent module cleanliness further contributes to carbon emission reduction and improved environmental performance.
Why This Project Matters
The Agar Solar Plant demonstrates how utility-scale solar assets can transition from labor-intensive cleaning practices to intelligent, data-driven robotic operations.
The project showcases how automation, sustainability, and operational efficiency can work together to improve energy generation while reducing water consumption and maintenance complexity.
For solar developers, EPC companies, independent power producers (IPPs), and O&M service providers, the Agar project serves as a benchmark for large-scale robotic cleaning implementation in challenging environmental conditions.
Conclusion
The successful deployment of 272 robotic solar cleaners at the 200 MW Agar Solar Plant highlights Taypro's capability to deliver scalable, technology-driven solutions for utility-scale solar assets.
By combining advanced robotic cleaning technology with intelligent fleet monitoring through NECTYR, Taypro has helped create a cleaner, more sustainable, and more productive solar power operation.
As the solar industry continues to expand, projects like Agar demonstrate the critical role automation will play in maximizing energy output, reducing operational costs, and achieving long-term sustainability goals.





