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Mangrol Solar Plant Case Study: 1.2 MW Waterless Robotic Solar Cleaning Project with NYUMA Technology, solar panel cleaning robot project, 1.2 MW · Ground Mount · 0 auto robots · 2 semi-aut...

Deployment case study

Project Hamal, Mangrol Solar Plant Case Study: 1.2 MW Waterless Robotic Solar Cleaning Project with NYUMA Technology

Discover how a 45 MW solar plant in Mangrol recovered 45 MWh/yr of energy using Taypro's semi-automatic waterless cleaning robots and NECTYR monitoring.

2 robots
Ground mount
45 MW
168 thousand litres water saved

Capacity

45 MW

Fleet

2 robots

Deployment

Semi-Automatic

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Site facts

Site statistics at a glance

MetricReported value
Nameplate capacity45 MW
Automatic robots-
Semi-automatic robots2
Total fleet2 robots
Robots per MW~0.04
Primary systemsNYUMA
Cleaning modeSemi-Automatic
ProcurementCapex
MonitoringInspection-led plans
Water saved~168 thousand litres / year
Generation uplift~45 MWh/yr / year

Figures are site-reported. Validate against your SCADA, curtailment, and disclosure methodology before investment committee use.

Executive summary

The 45 MW ground mount facility in Mangrol faced a major operational challenge. The site needed to maintain high module cleanliness despite severe water scarcity. High labor costs and dust accumulation also threatened energy yields. To solve these issues, the plant moved to a semi-automatic cleaning strategy. They deployed two HELYX robots to manage the solar arrays. This choice allowed the facility to use a structured maintenance schedule. The schedule is tailored to local soiling patterns to ensure steady performance.

The team uses NECTYR to manage the cleaning schedule with precision. This system allows for 3 to 10 dry cleaning cycles every month. This transition led to immediate operational gains for the site. The plant now achieves an additional 45 MWh of energy generation per year. Beyond power gains, the move to waterless robotics saved 168,000 litres of water annually. This project proves that semi-automatic robots are highly effective for utility-scale assets in water-stressed regions.

Environment and soiling at Mangrol

Environmental Context and Soiling Dynamics at Mangrol

The 45 MW ground mount array in Mangrol is located in a semi-arid region. This area is defined by very distinct seasonal dust cycles. The landscape consists mostly of dry and loose soil. This soil becomes highly active during frequent high-wind events. These winds are a common feature of the local geography. Unlike humid or industrial areas, the main challenge here is mineral dust. Fine, wind-borne dust settles quickly on the modules.

This dust forms a thin and opaque film across the solar surfaces. The accumulation pattern is made worse by the open terrain. There are very few natural windbreaks for the solar rows. This causes uneven soiling across the array. Windward-facing panels experience much higher shading losses than other panels. The local climate also has very limited rainfall. This means natural rain cannot clean the modules effectively. The stubborn dust layers remain between weather events. By using the HELYX semi-automatic system, the team can target these high-risk zones. This ensures the panels maintain peak performance despite the heavy regional soil deposition.

O&M before Taypro

Operational Challenges and Manual Cleaning Constraints at Mangrol

Before they integrated Taypro robotics, the Mangrol site used manual cleaning. This 45 MW ground mount site relied on conventional methods to keep modules clean. This approach created many operational bottlenecks. It was difficult to maintain a consistent Performance Ratio (PR) for the plant. A heavy dependence on manual labor made the process unreliable. Cleaning schedules were often irregular and hard to track.

Modules often suffered from prolonged soiling buildup between manual wash cycles. The site faced three core challenges before adopting the new system:

  • Water Scarcity: The region is water-stressed. Relying on water-based cleaning put pressure on local resources. It also drove up the total O&M costs.
  • Labor Dependency: Managing large crews for manual cleaning was a logistical challenge. It often led to inconsistent cleaning quality across the large array.
  • Audit Gaps: Operators lacked real-time visibility into cleaning performance. Without digital tools, it was hard to verify if cleaning addressed specific soiling hotspots.

These inefficiencies directly impacted the energy generation of the plant. The site needed a move toward a more reliable and water-efficient cleaning strategy.

Fleet and deployment at 45 MW

Fleet and Deployment Strategy for the 45 MW Mangrol Installation

Taypro implemented a semi-automatic fleet strategy for the 45 MW Mangrol site. This deployment uses two HELYX robots. These units are portable pick-and-place robots. They are designed specifically for distributed utility-scale layouts. The project used a capital expenditure (CAPEX) procurement model. This allows the stakeholders to own the cleaning assets long-term. Ownership gives the plant full control over the maintenance schedule and operations.

The HELYX system offers the flexibility needed for a ground-mount array. These robots can navigate through different plant blocks easily. They use single-pass PBT brush technology to clean the modules. This method removes dust accumulation without needing any water. This technology is why the site sees such high water savings. Because the deployment is semi-automatic, the team follows a structured cycle. They typically execute between 3 and 10 dry cleaning cycles per month. The exact frequency depends on the local soiling rates and site access.

Commissioning focused on making the robots part of the daily workflow. We prioritized training for the operators. They learned how to perform efficient pick-and-place maneuvers. This ensures consistent coverage across all plant blocks. This robotic program has successfully optimized module performance. It has resulted in measurable increases in annual energy generation. By combining targeted robotic work with smart scheduling, Mangrol has a sustainable path to reduce energy losses.

Operations and monitoring

Operations, Monitoring, and NECTYR Accountability

The 45 MW Mangrol plant uses the NECTYR fleet operations portal. This portal manages the entire semi-automatic cleaning programme. Success with HELYX pick-and-place robots depends on disciplined scheduling. NECTYR provides the digital infrastructure required for this task. It allows the team to log every single cleaning pass. This ensures that supervisors have full visibility into all robot activity. This audit trail is vital for the site. It verifies that the 3 to 10 monthly cycles occur as planned.

Accountability at Mangrol goes beyond just keeping a schedule. The O&M team uses NECTYR to track robot performance. They monitor battery health and other key metrics for each unit. The system also helps manage environmental risks. If wind speeds become too high, the system facilitates immediate wind holds. These safety protocols protect the robot hardware from damage. This inspection-led approach removes the need for guesswork. It allows human staff to focus on high-level fleet management.

  • Daily NECTYR-logged data provides total visibility over every cleaning cycle.
  • The team adheres to a strict 3 to 10 monthly dry cycle schedule.
  • Integrated wind-hold protocols protect hardware during adverse weather.
  • Documented audit trails provide transparent proof of cleaning efficiency.
Mangrol 45 MW solar plant, Taypro robotic panel cleaning

Results and impact

Tangible Performance Gains at the Mangrol Site

The integration of HELYX technology at the 45 MW Mangrol plant has changed the site. It has fundamentally shifted the maintenance profile of the facility. By replacing manual cleaning with waterless robotic cycles, the project has mitigated energy losses. The heavy dust accumulation that once blocked sunlight is now managed. This transition to automated maintenance has yielded a notable increase in annual power. The plant now maintains an optimal yield throughout the entire year.

The project also achieved critical sustainability targets. The move to a waterless cleaning methodology was a major success. The site no longer needs traditional wet washing processes. This has resulted in a substantial annual saving of water. This reduction is vital for utility-scale assets in India. Local resource scarcity makes responsible water use a priority for all operators. The implementation of this technology proves a key point. High-capacity performance can exist alongside environmental stewardship. This provides a scalable model for other solar operators in the region.

Peer comparison and planning checklist

Peer Comparison: Semi-Automatic Deployment at Scale

Comparing Mangrol to other utility-scale sites shows different operational strategies. A 45 MW plant using a fully automatic system often requires heavy infrastructure. Those systems might need permanent rails or complex crawler tracks. In contrast, the Mangrol site uses a flexible, lower-CAPEX model. Two semi-automatic robots can cover distributed blocks with ease. While fully autonomous fleets focus on daily cleaning, this model is different. It allows operators to target specific soiling zones with high precision.

This proves that small, mobile teams can achieve great results. They can reach generation gains similar to much larger, fixed installations. This deployment is a great example of Taypro's success. We have deployed 5 GW+ of robot capacity across 150+ sites. This project shows that right-sized hardware can drive output regardless of the site architecture. Whether a plant is large or small, the right robotic strategy will drive ROI.

Project Planning Checklist

  • Assess soiling intensity to set the correct cleaning frequency.
  • Audit the module layout to confirm robot movement paths.
  • Establish NECTYR monitoring protocols for remote fleet visibility.
  • Coordinate the manual transport of robots between different plant blocks.
  • Review water-saving projections against local environmental conditions.
  • Compare the CAPEX of robots against the long-term O&M savings.

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