Deployment case study

Nathdwara – 7.4 MW

Last updated 6 June 20265 min read

7.4 MW · Nathdwara · NYUMA · Semi-automatic · 3 robots · saves 1 million litres · +277.5 MWh/yr

Semi-AutomaticCapex3 semi-auto robotsNYUMAGround Mount

Capacity

7.4 MW

Fleet

3 robots

Deployment

Semi-Automatic

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Nathdwara – 7.4 MW - Solar Panel Cleaning Robot Installation Project by Taypro

Executive summary

The Nathdwara, Rajasthan plant is a 7.4 MW ground-mounted utility asset in Rajasthan. Three NYUMA semi-automatic portables (~0.41 robots/MW on 7.4 MW reported nameplate) with inspection-led accountability since 2023. Taypro implemented Semi-automatic waterless cleaning under CAPEX.

Operations report roughly 1 million litres of water saved per year, about 277.5 MWh of additional clean generation, and 138 metric tons CO₂ equivalent (site-reported; validate with your SCADA).

Robotic cleaning means scheduled cycles and weather-aware holds—not flooding modules on a daily wash calendar.

Site statistics at a glance

Metric

Reported value

Nameplate capacity

7.4 MW

State / region

Rajasthan

Automatic robots

Semi-automatic robots

3

Total fleet

3 NYUMA portables

Robots per MW

~0.41

Primary systems

NYUMA

Cleaning mode

Semi-automatic

Procurement

CAPEX

Monitoring

Inspection-led plans

Commissioning

2023

Water saved

~1 million litres / year

Generation uplift

~277.5 MWh / year

CO₂ equivalent

~138 metric tons / year

Fleet design at 7.4 MW

Three NYUMA semi-automatic portables (~0.41 robots/MW on 7.4 MW reported nameplate) with inspection-led accountability since 2023.

Validate nameplate versus field layout in procurement packs—statistics in this case study follow workbook nameplate and reported operational outcomes.

Operations rhythm with inspection-led accountability

Published weekly block plans and inspection sign-off drive accountability. Technicians own brush care, holds, and dated reschedules when telematics are not the primary layer.

Cleaning cadence: planned portable cycles and weather holds

NYUMA semi-automatic coverage on this site is driven by published weekly block plans, supervisor prioritisation, and inspection sign-off—not continuous daily washing of every hectare. Technicians execute waterless brush cycles when wind, rain, and site conditions are safe; wind holds apply, and passes are skipped or deferred after effective rain when glass is already rinsed.

Seasonal soiling still dictates intensity: busier months concentrate portables on downwind edges, haul-road strings, and blocks with the steepest inverter trends—often comparable in frequency philosophy to the 3–10 cycles per month band used on automatic peers, without implying one robot pass per module per night. See semi-automatic systems and cleaning technology.

Commissioning and handover

Commissioning sequenced high-soiling blocks first, validated geometry and docking or staging, and trained technicians on waterless compliance and hold rules.

What Nathdwara teaches owners at 7.4 MW

Validate nameplate versus field layout in procurement packs—statistics in this case study follow workbook nameplate and reported operational outcomes. Use the ROI calculator with conservative GWh attribution and utility operations framing.

Lenders should request block-level proof: signed inspection sheets and weekly block plans. Pair 1 million litres, 277.5 MWh, and 138 tCO₂e on one assumption set.

Regional soiling at 7.4 MW

Rajasthan dust on a sub-ten-megawatt ground-mount table (nameplate slug reflects programme grouping). Downwind rows soften in inverter data before drive-by inspections; programmed cleaning with block proof beats episodic tanker washes.

Before Taypro, manual programmes struggled with frequency, water logistics, and auditability on 7.4 MW tables.

Monthly operating calendar

Jan–Feb: review brush wear and cycle plans. Mar–Jun: peak dust—scheduled density toward 6–10 cycles per month class on automatic peers where applicable; not nightly full-plant wash. Monsoon transition: stand down after effective rain. Post-monsoon: re-walk paths after civil or vegetation works.

WhatsApp Image 2026 06 06 at 12.58.23 PM

SCADA correlation

Pair inverter trends with inspection timestamps. If PR stays soft after logged cleans, investigate brush wear, partial coverage, or equipment fault.

Water and finance narrative

Model 1 million litres avoided against tanker and wet-wash baselines. Stress-test 277.5 MWh at 50% and 75% attribution before sign-off.

Fleet: 3 NYUMA semi-automatic portables (~0.41 robots/MW)

Three NYUMA semi-automatic portables (~0.41 robots/MW on 7.4 MW reported nameplate) with inspection-led accountability since 2023.

ESG and insurer pack

Include night traffic plans, training records, and sample inspection weeks with water and carbon slides on consistent assumptions.

Procurement checklist

  • Row repeatability map before copying robots/MW from this case study.

  • Manual baseline year for water and labour.

  • Block-level completion proof requirement in contracts.

  • Phase commissioning on highest-soiling blocks first.

  • Read cleaning technology and performance methodology.

Who should benchmark Nathdwara?

Owners with 7.4 MW Rajasthan assets and semi-automatic constraints—not plants copying fleet counts without maps.

How many cycles per month?

Site-specific; commonly roughly 3–10 dry cycles per month, weather permitting—not daily washing of every module.

Seasonal operating calendar

Jan–Feb: review brush wear and cycle plans; validate wind and rain hold rules in NECTYR or inspection logs. Mar–Jun: peak dust—scheduled cycle density increases on priority blocks (weather permitting), often toward the 6–10 cycles per month class for automatic fleets; not nightly coverage of every module. Monsoon transition: stand down or lighten cycles after effective rain; inspection-heavy weeks where appropriate. Post-monsoon: re-walk paths after vegetation or civil works; update block timers before the next approved cleaning window.

Peer benchmarking

Versus Chennai (10 MW, two portables): similar micro-scale portable.

Versus Bhadla (300 MW, forty portables): Rajasthan semi-automatic at scale.

Versus Chhayan (150 MW, automatic): Rajasthan automatic contrast.

Browse all projects, mid-scale peers, and tier-2 references.

Micro-utility semi-automatic discipline

Three portables succeed with weekly queues visible to O&M and finance—not anecdotal cleaning claims.

Nathdwara micro-scale Rajasthan coverage

Three portables on reported 7.4 MW nameplate—validate layout versus statistics in diligence packs.

Technical committee closing brief for Nathdwara

Attach row maps, inspection samples, and conservative 277.5 MWh / 138 tCO₂e stress tests. 1 million litres water avoided should use the same assumptions as generation slides.

Scheduled cycles and weather-aware holds—roughly 3–10 dry cycles per month on automatic peers, weather permitting—not daily plant-wide washing. Read cleaning technology and performance methodology.

Compare peers linked above; request layout review via contact when row maps are preliminary.

Finance workshop agenda

Validate manual baseline; agree PR normalization; review inspection cadence; align ESG water and carbon on one assumption set; budget spares and training through year five.

Operations FAQ

How are cycles scheduled?

Weekly NYUMA block plans and inspection sign-off—not a daily wash of the full plant.

What should lenders review?

Water statistics, inspection sheets, training records, and GWh stress tests at 50% and 75% attribution.

Operations evidence summary

Owners should validate reported water, generation, and carbon statistics with local SCADA and tariffs; pair this 7.4 MW case study with performance methodology, the projects hub, and the ROI calculator. Scheduled cycles and weather-aware holds—not plant-wide daily washing—define Taypro utility programmes.

Compare Soyegaon, Chhayan, and tier-1 peers before copying robot density. Block-level proof—inspection sign-off—belongs in lender packs alongside 1 million litres and 277.5 MWh stress tests at fifty and seventy-five percent attribution.

Conclusion

Nathdwara, Rajasthan demonstrates 7.4 MW robotic cleaning with reported 1 million litres water saved, 0.278 GWh, and 138 tCO₂e—validated locally. Use peer links when building procurement packs.

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