Executive summary
This technical audit examines a 225 MW ground-mount solar facility. The plant is located in Sangali-Asangi Jat. The project aims to fix performance drops caused by heavy dust. Regional soil buildup is a major issue here. Maintaining large solar arrays in this area is logistically hard. The site operator needed a controlled cleaning plan. They chose a CAPEX procurement model. This allows them to own the cleaning hardware directly.
The site integrated a fleet of three semi-automatic NYUMA units. This system changed the site from manual washing to a structured cycle. The facility now uses scheduled dry cleaning cycles. These cycles match the local soiling rates. This shift has produced a verified yield recovery. The plant gains about 225 MWh of extra generation every year. The move to waterless cleaning also saves a lot of resources. The facility saves 840,000 litres of water annually. This deployment shows how robotics can optimize power. It also reduces the need for heavy water use in large plants.
Environment and soiling at Sangali- Asangi Jat
Environmental Soil Profile and Cleaning Transition at Sangali-Asangi Jat
The Sangali-Asangi Jat region presents a unique challenge for solar plants. The local land consists of large, arid tracts. These areas produce high amounts of fine, abrasive silt. Airborne dust is very common here. This dust settles quickly on photovoltaic modules. It forms a dense and opaque film. This film blocks sunlight from reaching the cells. This reduces the energy output of the plant.
This site does not face salt-mist like coastal zones. It also does not face soot like industrial zones. Instead, it struggles with mineral-rich dust. This dust is especially difficult because of the local heat. The intense sun causes the dust to harden on the glass. This creates a tough layer that is hard to clean. Previous manual washing methods were not effective. Teams used water to wash the modules. However, the water application was often uneven. This caused several problems. Residual water droplets often trapped more dust. This led to heavy streak formation across the cells. These streaks can block light and reduce efficiency.
The operator decided to use semi-automatic cleaning to fix this. They needed repeatable results across the 225 MW site. Moving away from manual labor reduces many risks. It also removes the need for large amounts of water. Sourcing water in a semi-arid zone is difficult. The current strategy uses three NYUMA units. These robots perform scheduled, dry cleaning cycles. This ensures the module surfaces stay uniform and clean.
- Consistent Surface Integrity: The single-pass PBT brush removes mineral dust. It does this without leaving any residue behind.
- Weather-Responsive Scheduling: The robots perform 3–10 dry cycles per month. This schedule matches local dust and weather patterns.
- Asset Protection: Dry cleaning protects the anti-reflective coatings. This prevents the damage often caused by wet scrubbing.
This systematic approach keeps the 225 MW facility running well. It manages the heavy dust levels of the local climate. The integration of semi-automatic robots is vital. It balances high power output with water conservation goals.
O&M before Taypro
Operational Challenges: Scaling O&M at the 225 MW Sangali-Asangi Jat Site
Managing a 225 MW ground mount plant is a massive task. It requires moving from reactive fixes to standard protocols. Before the robot deployment, the Sangali-Asangi Jat site used manual labor. Staff cleaned the modules by hand. This method created many logistical bottlenecks. Coordinating large teams across such a huge area was very difficult.
The main concern was the high need for water. Manual cleaning required massive amounts of water. This created recurring risks for the operator. It also increased the cost of logistics. In a semi-arid region, finding water is a constant struggle. Because manual teams can be inconsistent, the cleaning quality varied. Some parts of the plant were clean, while others were dirty. This led to performance gaps across different blocks. It made energy yield forecasting very hard.
Auditing these manual efforts was also a major problem. There was no automated way to track cleaning. It was hard to verify if cycles happened on time. It was also hard to check if the cleaning was uniform. These gaps in data left the site vulnerable. Hidden energy losses could occur without anyone knowing. Manual streaks and mineral deposits often formed right after washing. This meant the plant was never truly at peak performance.
- Resource Strain: Relying on water tankers created high costs. It also created sustainability risks for the site.
- Labour Logistics: Managing large crews across 225 MW was difficult. It led to inconsistent cleaning results.
- Performance Uncertainty: The site lacked data on cleaning quality. This made it hard to link costs to energy gains.
The reliance on manual, water-based cleaning limited the site. It created a ceiling for total efficiency. Moving to a robotic strategy solved these risks. It enabled more predictable energy yields for the owner.
Fleet and deployment at 225 MW
Optimising 225 MW Operations through Targeted NYUMA Deployment
The project moved away from manual cleaning by using a CAPEX model. They chose the NYUMA robotic system for this task. This strategic investment gives the site owner full control. They own the cleaning hardware directly. This helps standardize the cleaning across the 225 MW array. By using three semi-automatic NYUMA units, the site created a repeatable process. This replaces human variability with precision technology.
The deployment uses a semi-automatic cleaning cadence. This cadence is tailored to the local dust patterns. Each NYUMA unit is used systematically. They perform scheduled dry cleaning cycles. These cycles typically occur 3–10 times per month. The exact number depends on the weather and site access. This approach maintains module integrity. It also removes the need for massive water logistics.
- Strategic Fleet Mix: Three NYUMA units are spread across the site. This allows for targeted cleaning in specific zones.
- CAPEX Investment: The procurement model ensures long-term ownership. The O&M team can include robots in their permanent assets.
- Operational Efficiency: The robots have already reduced water use. The site saves about 840,000 litres of water every year.
- Performance Gains: Waterless cleaning adds 225 MWh of generation annually. This improves the total energy yield of the plant.
The commissioning phase focused on easy integration. The robots work well with existing site pathways. The NYUMA system uses single-pass PBT brush technology. This provides a thorough and non-abrasive cleaning. It helps maintain the long-term health of the solar panels. This robotic layer is now the primary tool for plant health. It provides the reliability needed for a semi-arid environment.
Operations and monitoring
Operations, Monitoring, and the NYUMA Fleet Deployment
The 225 MW Sangali-Asangi Jat site uses a smart cleaning strategy. It relies on three NYUMA units. Unlike manual washing, this method is stable and repeatable. It is also completely waterless. Each unit is managed through the NECTYR platform. NECTYR centralizes all important data. It handles scheduling, cleaning logs, and fleet monitoring. This ensures every part of the ground-mount array is covered.
The cleaning schedule is built for the local environment. Maintenance teams follow a set number of dry cleaning cycles. They perform 3–10 cycles per month. This frequency can change based on real-time data. NECTYR detects soiling trends and alerts the team. This pick-and-place workflow keeps panels clear. It also removes the burden of managing water tankers and large crews.
- Precision Scheduling: NECTYR gives supervisors great oversight. They can manage cycles and monitor robot battery health easily.
- Accountability and Inspection: The semi-automatic workflow is highly accountable. Every row gets a high-quality single-pass PBT brush treatment.
- Strategic Wind Holds: Safety is a top priority. Site-wide wind holds prevent deployment during high winds. This protects both the robots and the panels.
- Resource Efficiency: The system avoids the need for daily washing. It focuses on high-frequency, waterless maintenance to optimize yield.
The deployment at Sangali-Asangi Jat is a success. It proves that a managed semi-automatic fleet works. Integrating the NYUMA system into daily O&M is smart. It protects assets from dust and maximizes long-term output.
Results and impact
Optimizing Yield and Resource Sustainability at Sangali-Asangi Jat
The NYUMA robotic fleet has changed the operational strategy here. It represents a major shift for the facility. Moving away from manual methods solved many problems. The project fixed the performance drops caused by local dust. This shift has secured a reliable uplift in energy production. Higher uptime and better module health directly help the bottom line.
The benefits go beyond just more energy. The move to waterless maintenance has helped the environment. The site relies much less on external water now. In this region, water is expensive and hard to move. Being able to clean without water is a huge advantage. The O&M team is more efficient because of it. The solar assets are also better preserved for the long term.
- Verified Yield Recovery: Single-pass PBT cleaning is very precise. It ensures consistent performance and recovers significant energy every year.
- Water Stewardship: The facility has cut its water use drastically. This aligns with global sustainability goals for solar energy.
- Operational Resilience: NECTYR software provides actionable insights. The team can move from reactive fixing to proactive scheduling.
- Reduced Manual Dependency: Automation minimizes human error. It ensures uniform cleaning results across the entire 225 MW array.
Robotic automation is essential for modern O&M. This deployment shows how to combine reliable hardware with smart software. The facility can now maintain peak performance despite the harsh climate.
Peer comparison and planning checklist
Industry Context and Comparative Performance
The challenges seen at Sangali-Asangi Jat are common in India. Many large utility-scale plants face similar issues with dust and water. For example, sites in Jamnagar deal with heavy cement dust. These plants must manage complex soiling patterns from nearby quarries. Other sites in Madhya Pradesh struggle with pre-monsoon dust swings. In those areas, dust accumulates very fast after dry spells.
The Sangali site shares these exact struggles. However, its approach with NYUMA robots is a model for others. Many IPPs are moving away from manual water-based cleaning. They are looking for ways to stabilize their energy yield. Using robots helps them avoid the risks of labor and water shortages. As plants grow toward 500 MW and beyond, automation becomes a necessity. The success at this 225 MW site proves the ROI of robotic cleaning.
- Scalability: The NYUMA system works across large footprints. It can be scaled as the plant grows.
- Standardization: Robots provide the same quality every time. This is much harder to achieve with manual crews.
- Sustainability: Waterless cleaning is the future for arid regions. It protects both the water supply and the solar modules.
By adopting these technologies, plant managers can secure their revenue. They can ensure their assets reach their full lifetime potential. The Sangali-Asangi Jat project is a leading example of this transition.
