Project Algenib, Yavatmal, Dhanorakh – 6 MW

Executive summary

The 225 MW Dhanorakh solar plant in Yavatmal, Maharashtra, faces tough environmental hurdles. The site deals with heavy agricultural dust and road grit. Local humidity also plays a major role. These factors combine to create uneven soiling patterns across the solar arrays. Traditional manual cleaning methods often fail to manage these complex patterns effectively.

O&M managers also faced several logistical problems. Water procurement was often difficult to coordinate. Night crew schedules frequently clashed with other site needs. These needs included vegetation management and civil maintenance. Furthermore, supervisors had no way to prove which blocks were cleaned. They lacked granular, per-block proof of cleaning completion. This made yield oversight and performance accountability very difficult.

Taypro solved these issues by deploying three NYUMA semi-automatic robotic units. This deployment supports the site's existing maintenance structure. The facility moved away from heavy water use and manual labor. This change focused on high-risk or hard-to-reach zones. The new strategy has delivered consistent operational improvements. The site now sees 225 MWh of additional generation every year. The transition to waterless cleaning also saves 840,000 litres of water annually. This provides a scalable and sustainable solution for large utility sites in Maharashtra.

Environment and soiling at Yavatmal, Dhanorakh

Managing Heterogeneous Soiling in Yavatmal: The Intersection of Road Grit and Humidity

The 225 MW Dhanorakh solar facility operates in a complex microclimate. Environmental factors here create very localized soiling profiles. This site is different from arid desert locations. Desert sites often see uniform dust accumulation. Yavatmal is more dynamic. Its challenges come from the mix of regional agriculture and heavy transit.

Agricultural operations surround the site. These farms generate seasonal particulate matter. This dust settles unevenly across the solar array. The problem is made worse by nearby logistics corridors. Heavy vehicles move through these areas constantly. This movement creates road grit. This grit deposits a dense and oily film on the lower-row modules. These oily particles provide a surface for local humidity cycles. These cycles often happen overnight.

This moisture binds the dust together. It creates a stubborn and semi-adhesive layer. Traditional manual cleaning methods struggle with this layer. They are often too infrequent to stop the build-up. The resulting soiling pattern is highly heterogeneous. This means the dirt is not spread evenly.

The site experiences three main soiling issues:

• String-level variance: Modules near haul roads degrade faster. They lose more output than modules in the site interior.
• Cementing effects: High humidity cycles solidify airborne agricultural pollutants. This requires mechanical intervention to restore light transmission.
• Performance stratification: Cleaning is not uniform across the 225 MW array. This leads to energy yield loss and unpredictable string performance.

These conditions required a new O&M strategy. Supervisors could not verify manual cleaning quality. They struggled to ensure crews reached high-impact zones. Manual labor schedules often clashed with other plant maintenance. By deploying a semi-automatic cleaning fleet, the site has standardized its approach. This ensures the most affected strings receive regular cleaning. This strategy mitigates the localized losses that once hurt energy production.

O&M before Taypro

Operational Visibility and Labour Constraints in Yavatmal

The 225 MW Dhanorakh plant faced major O&M inefficiencies before Taypro. The team struggled with constant logistical friction. They tried to align manual cleaning crews with other tasks. These tasks included vegetation management and civil maintenance. Scheduling night shifts for water-based cleaning was difficult. These shifts often overlapped with other essential works. This caused delays in routine upkeep and site safety protocols.

The biggest concern was the lack of visibility. Supervisors could not see what the crews were doing. They lacked reliable, per-block proof of cleaning. They did not know which strings were cleaned during a cycle. Because manual labor lacked automated verification, data was inconsistent. It was hard to tell if a string performed poorly due to dirt. It was also hard to tell if there was a technical fault. This ambiguity made plant management very difficult.

The transition to the semi-automatic model solved these gaps in several ways:

• Elimination of logistical conflict: The plant reduced its reliance on large night crews. This allowed better coordination between cleaning and civil works.
• Resolution of the visibility gap: The team now uses structured cleaning cycles. This provides documented proof of maintenance for every block.
• Resource optimization: The site moved away from intensive water-based cleaning. This reduced the annual water footprint and lowered operational overhead.

Moving from manual labor to a robotic framework stabilized generation. The O&M team now has a clear understanding of maintenance. They can prioritize cleaning efforts based on real needs. This helps them combat the uneven soiling patterns in Maharashtra.

Fleet and deployment at 225 MW

Fleet Strategy and Deployment at 225 MW

The 225 MW Dhanorakh project needed a scalable cleaning model. It had to handle intense soiling cycles. Agricultural dust and road grit create inconsistent soiling. This previously made it impossible to confirm if blocks were maintained. To solve this, Taypro used a Capex procurement model. This model focuses on precision and long-term accountability.

The fleet uses three NYUMA semi-automatic robots. This selection is ideal for a large ground-mount utility layout. The site does not rely on static infrastructure. Instead, the mobile NYUMA fleet allows for flexibility. Supervisors can cycle cleaning tasks across specific, high-priority strings. This turns cleaning from an unverified task into a data-backed process.

Key deployment factors for the 225 MW site include:

• Strategic mobility: The three NYUMA units act as a flexible fleet. The team can shift resources to the most affected segments. They use NECTYR monitoring data to make these decisions.
• Accountability through hardware: Semi-automatic robots allow for better tracking. Management now knows exactly which sections are serviced. This eliminates the old visibility gaps.
• Optimized duty cycles: The robots use a single-pass PBT brush system. They maintain the 225 MW array through scheduled dry cycles. This delivers reliable cleaning without the need for heavy water transport.

The Dhanorakh site has moved away from the risks of manual labor. The current setup provides a sustainable cleaning cadence. It aligns with the broader O&M goals of the plant. Each cleaning pass maximizes the annual generation. This deployment serves as a model for fixed-tilt assets in Maharashtra. It offers both performance consistency and operational simplicity.

Operations and monitoring

Operations and Monitoring: Eliminating Cleaning Verification Gaps

The 225 MW Yavatmal plant faced a complex challenge. Dust and grit often escaped detection during manual shifts. Without a digital trail, supervisors lacked actionable proof. They did not know if specific strings were serviced. This visibility gap caused significant energy losses. The team could not verify if high-priority zones were cleaned frequently enough.

The site moved to three NYUMA semi-automatic robots to fix this. This deployment replaces unverified manual logs. It uses objective, log-based verification via the NECTYR operations portal. With NECTYR, the management team gains real-time visibility. They can see the exact status of each cleaning cycle. This ensures labor resources go only where they are needed most.

The operational strategy includes three main pillars:

• Structured Cleaning Cadence: The fleet follows an optimized schedule. They perform 3 to 10 dry cleaning cycles per month. This frequency changes based on humidity and soiling levels.
• NECTYR-Enabled Accountability: Every cleaning pass is recorded in the NECTYR dashboard. This replaces unreliable manual reports. It provides automated, block-level verification of all robot deployments.
• Strategic Wind Hold Protocols: The robots are protected during high-wind events. They are docked and secured in a safe position. Operations resume automatically when the weather is safe.

The Dhanorakh facility has neutralized the risks of inconsistent maintenance. This CAPEX-based robotic strategy makes cleaning quantifiable. It makes cleaning predictable. It ensures cleaning is fully aligned with seasonal performance targets.

Results and impact

Quantifiable Operational Impact in Yavatmal

The move to semi-automatic cleaning at Dhanorakh is a major shift. It changes how the site manages performance loss. The site replaced manual labor with the precision of the NYUMA fleet. Maintenance has moved from a reactive process to a data-driven operation. This shift has improved overall plant health significantly.

The impact is visible in two core areas. These are energy recovery and environmental stewardship. The fleet has secured a large annual yield recovery. It recaptures energy that was lost to uneven soiling. This soiling was caused by agricultural dust and grit. By matching cleaning cycles to field conditions, the site performs better. The 225 MW capacity operates with higher consistency all year.

The move to waterless robotics also saves water. This has led to a massive reduction in the plant's water footprint. Water conservation is vital in the Yavatmal district. This region often faces water scarcity. Traditional cleaning requires a lot of water. It also requires complex logistics. The NYUMA robots use a waterless method. This eliminates the need for water transport and sourcing. It makes the asset more sustainable and resilient.

Key results include:

• Enhanced Yield Recovery: Consistent maintenance has recovered significant energy. This energy was previously lost to string-level soiling.
• Water Conservation: The site no longer relies on wet-cleaning methods. This has decreased the total water required for maintenance.
• Operational Transparency: The NECTYR portal provides verifiable proof. Supervisors can now optimize performance across the entire array.

Peer comparison and planning checklist

Peer Comparison and Operational Planning

The Yavatmal-Dhanorakh 225-MW deployment shows a trend. Specialized robotic cleaning is becoming common in Maharashtra. We can compare this to the Soyegaon solar project. Soyegaon uses a different cleaning cadence. The Dhanorakh site uses three semi-automatic robots to fight dust and humidity. This installation also serves as a benchmark for the Yavatmal-Kupti 14-MW site. The Kupti project is a good reference for smaller sites. However, Dhanorakh shows that semi-automatic cleaning is also vital for high-capacity plants. This is especially true when manual labor conflicts with vegetation maintenance.

Effective fleet management requires oversight and structure. Use this checklist to align your O&M strategy with your site's needs:

• Assess seasonal soiling sources: Map where dust comes from. Check haul roads and agricultural areas to find high-impact rows.
• Audit current water usage: Compare your manual labor costs. Look at the long-term savings of waterless robotic cleaning.
• Establish verification protocols: Use NECTYR-integrated reporting. Confirm which specific blocks were cleaned during each shift.
• Synchronize maintenance windows: Do not let cleaning cycles overlap with civil works. This prevents site congestion.
• Evaluate CAPEX procurement: Review your project depreciation. Check your long-term O&M budget to time your robot purchase.
• Standardize cleaning frequency: Set a consistent schedule for your robots. Aim for 3 to 10 cycles per month based on soiling data.