Project Celaeno, Yavatmal, Punvat – 1 MW

Executive summary

This 37.5 MW ground-mount solar plant is located in Yavatmal, Maharashtra. The facility faced a major problem with energy loss. High levels of agricultural dust and road grit covered the panels. Local humidity cycles also made the problem worse. These conditions created uneven soiling patterns across the site. These patterns varied significantly between different string-level blocks. This made it very hard for staff to manage the site effectively.

Traditional maintenance methods also struggled with these issues. Site supervisors lacked clear data on cleaning results. They could not prove which strings were actually clean. Managing water logistics and night crews also caused constant friction. This friction interfered with other important tasks like vegetation control and civil work. To fix this, the project deployed two semi-automatic NYUMA robots.

This robotic solution changed how the plant operates. It removed the visibility gaps in the cleaning process. The site now has clear proof of every cleaning cycle. This deployment optimized the 37.5 MW capacity. It also reduced the strain on local resources. The site now saves 140,000 litres of water every year. Additionally, the plant recovers 37.5 MWh of extra generation annually.

Environment and soiling at Yavatmal, Punvat

Environmental Challenges and Soiling Dynamics at Punvat

The 37.5 MW Yavatmal plant sits in a unique environment. It is located in the Punvat region of Maharashtra. This area presents a difficult "soiling trifecta" for solar operators. The site faces three constant threats to energy production. First, there is fine agricultural dust from nearby farming activities. Second, there is abrasive road grit from local transport routes. Third, the site experiences complex daily humidity cycles.

These humidity patterns play a critical role in performance loss. Humidity acts like a binding agent for the dust. It turns loose particles into a thick, stubborn film. This film clings tightly to the surface of the solar modules. Because the dust does not spread evenly, the damage is not uniform. This creates significant performance variance across the entire solar array. Some strings suffer much more than others.

This unpredictability makes conventional cleaning schedules very difficult to use. Managers cannot simply clean every panel on the same day. The soil layers are too inconsistent. This creates a massive operational challenge for the team. Supervisors often struggle to verify if the cleaning actually worked. They need to know which blocks are clean and which are still dirty. The physical layout of the site also adds more difficulty. Managing water for night crews often conflicts with other maintenance needs. The site must balance vegetation control with civil upkeep. By using a semi-automatic cleaning fleet, the Yavatmal plant has stabilized its power output. This approach uses scheduled dry-cleaning cycles to fight the local dust and humidity. It is a more reliable way to protect the asset.

O&M before Taypro

Managing Logistical Tension and Visibility Gaps in Punvat

Before the Taypro solution, the 37.5 MW Yavatmal project faced many hurdles. The operations team had to manage constant logistical tension. They struggled to balance water procurement with staff schedules. Managing night crews was a difficult task. This task often competed with vital vegetation and civil maintenance work. Because the plant is a large ground-mount facility, site access is limited. These limited windows led to inefficient cleaning coverage. It also resulted in inconsistent energy yields.

A major failure in the old system was the lack of visibility. Supervisors could not see the actual cleaning performance. There was no per-block proof of work. They did not know which specific strings were cleaned during a shift. This monitoring gap was a serious problem. It allowed uneven layers of soil to build up across the array. The team could not adjust cleaning intensity to match local dust patterns. They were always reacting to problems rather than preventing them.

The reliance on manual cleaning also created a constant trade-off. Managers had to choose between high labor costs and lower energy recovery. It was a difficult balance to maintain. Transitioning to a semi-automatic fleet has changed everything. The site has finally eliminated these audit gaps. They have replaced human-dependent schedules with verified, data-backed maintenance. This move provides the transparency that the site managers need to run a professional facility.

Fleet and deployment at 37.5 MW

Fleet Deployment and Semi-Automatic Strategy

For this 37.5 MW ground-mount project, we used a targeted Capex model. We deployed two NYUMA robots to manage the site. This strategy is ideal for large utility-scale fixed-tilt arrays. These arrays often face high variability in performance due to dust. The NYUMA robots are designed to handle these specific challenges. They use a single-pass PBT brush technology for effective cleaning. This method is waterless and highly efficient.

The semi-automatic mode offers a perfect balance for the site. It allows the team to manage capital investment wisely. At the same time, it provides the flexibility needed for localized soiling. The two NYUMA robots allow for 3 to 10 dry cleaning cycles per month. These cycles are not fixed to a calendar. Instead, they are scheduled based on real-time soiling levels. This approach provides several major operational improvements:

• It removes the dependency on manual labor. This reduces the need for complex night crew schedules.
• It simplifies water logistics by using a waterless cleaning method.
• It uses NECTYR for enhanced cleaning verification. Supervisors can now monitor progress across specific blocks.
• It minimizes interference with other site work. This includes vegetation maintenance and civil O&M tasks.
• It protects the environment. The site saves 140,000 litres of water every single year.

This configuration manages the regional humidity cycles very well. It also handles the uneven dust buildup found in the Punvat area. The robots are optimized for rapid deployment across scattered rows. This ensures the 37.5 MW asset stays productive. The site can recover up to 37.5 MWh of generation every year. By using a data-backed schedule, the site has moved away from reactive methods. They now follow a predictable, robotic operations model.

Operations and monitoring

Optimizing Operational Cycles and Monitoring

Operations at the 37.5 MW Yavatmal plant require careful management. The team must balance cleaning needs with site maintenance. They must also manage vegetation and civil work. By using a semi-automatic fleet, the site has found a better way. They have replaced manual, water-based labor with a data-backed cadence. This model uses 3 to 10 scheduled dry cleaning cycles each month. This ensures that cleaning does not clash with other important site tasks.

The site uses NECTYR to manage visibility. NECTYR provides per-block accountability for every single cleaning operation. This shift removes the uncertainty of old cleaning methods. In the past, supervisors lacked proof of which strings were serviced. Now, they have complete clarity. The following benefits define the operational approach in Punvat:

• Predictable scheduling that adapts to local dust and road grit patterns.
• The elimination of complex water logistics for the night crews.
• A focus on high-value site activities instead of water hauling.
• Strict adherence to safety protocols and wind holds. This protects the equipment during storms.
• Reliable cleaning verification. This guarantees consistent performance across every row.

Some people believe that daily washing is the only way to get high yields. This project proves that idea is a myth. Targeted, high-efficiency robotic cycles can achieve much better results. The integration of NECTYR intelligence is a game changer. It ensures the plant maintains a 99% cleaning efficiency. It also helps the site conserve substantial water resources every year.

Results and impact

Results and Operational Impact in Yavatmal

The NYUMA semi-automatic fleet has transformed the Yavatmal project. It has moved from a labor-intensive site to a data-driven asset. By using robotic efficiency, the plant has solved many logistical problems. It no longer struggles with competing maintenance schedules. Vegetation control and civil work can now happen without issues. String-level cleaning is now consistent and easy to verify. The cleaning matches the specific dust patterns of the Maharashtra region.

The impact of this change is very clear. It shows in both resource savings and energy gains. The following points highlight the success of the deployment:

• The plant achieves significant annual water conservation. It no longer needs water-intensive manual washing.
• The site achieves consistent recovery of generation potential. This energy was previously lost to uneven soiling.
• The NECTYR platform provides complete operational accountability. Supervisors have proof for every block.
• The site has a reduced reliance on night crews. This allows teams to focus on preventative maintenance.
• The overall maintenance footprint is now lean and reliable.

The Yavatmal plant now achieves high-performance yields. It does this while maintaining a very efficient operation. This is a model for other utility-scale sites in India.

Peer comparison and planning checklist

Peer Comparison and Operational Scaling

The 37.5 MW Yavatmal deployment shows how complexity changes as you scale. It is different from the 10 MW Ahmadnagar-Jalalpur project. That smaller site uses a more compact robotic footprint. In contrast, the Yavatmal facility needs a robust logistical approach. It must manage a semi-automatic NYUMA fleet across a much larger area. Smaller 10 MW plants can often work with a single robot. However, this 37.5 MW site needs synchronized scheduling. This is necessary to manage vegetation and civil maintenance cycles together.

We can also compare this to the 14 MW Yavatmal-Kupti site. The current deployment shows a shift in fleet density. We are moving from portable units toward high-frequency coverage. This is needed to fight the specific agricultural dust in this district. As plants grow, the cleaning strategy must also evolve.

Use this planning checklist to scale your site operations effectively:

• Assess seasonal soiling patterns first. This helps you decide the robot density for each block.
• Integrate NECTYR for real-time verification. You need to see cleaning cycles across every array string.
• Align your robot deployment windows with other O&M tasks. This includes vegetation management.
• Define clear storage and charging logistics. This is vital for multi-block, semi-automatic fleets.
• Establish clear protocols for water-saving targets. You should also audit monthly yield improvements.
• Compare cleaning frequency against actual energy gains to ensure a good ROI.