Deployment case study

Dakuni – 1.4 MW

Last updated 6 June 20265 min read

1.4 MW · Dakuni · NYUMA · Semi-automatic · 1 robots · saves 196 thousand litres · +52.5 MWh/yr

Semi-AutomaticCapex1 semi-auto robotsGLYDENYUMAGround Mount

Capacity

1.4 MW

Fleet

1 robots

Deployment

Semi-Automatic

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Dakuni – 1.4 MW - Solar Panel Cleaning Robot Installation Project by Taypro

Executive summary

The Dakuni plant is a 1.4 MW ground-mounted utility asset in India. One NYUMA semi-automatic portable (~0.71 robots/MW on 1.4 MW) with inspection-led weekly block plans since 2023 commissioning. Taypro implemented Semi-automatic waterless cleaning under CAPEX.

Operations report roughly 196 thousand litres of water saved per year, about 52.5 MWh of additional clean generation, and 26 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

1.4 MW

State / region

India

Automatic robots

Semi-automatic robots

NYUMA programme (workbook: 1 unit; validate fleet scope with commissioning records)

Total fleet

Inspection-led semi-automatic

Robots per MW

Primary systems

NYUMA

Cleaning mode

Semi-automatic

Procurement

CAPEX

Monitoring

Inspection-led plans

Commissioning

2023

Water saved

~196 thousand litres / year

Generation uplift

~52.5 MWh / year

CO₂ equivalent

~26 metric tons / year

Fleet design at 1.4 MW

One NYUMA semi-automatic portable (~0.71 robots/MW on 1.4 MW) with inspection-led weekly block plans since 2023 commissioning.

Dakuni mirrors Sonar Bangla in reported statistics—copy operations discipline (block queue, inspection sheets), not geography, when benchmarking micro portable programmes.

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 Dakuni teaches owners at 1.4 MW

Dakuni mirrors Sonar Bangla in reported statistics—copy operations discipline (block queue, inspection sheets), not geography, when benchmarking micro portable programmes. 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 196 thousand litres, 52.5 MWh, and 26 tCO₂e on one assumption set.

Regional soiling at 1.4 MW

Sub-two-megawatt dust on a micro-utility portable programme. 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 1.4 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 196 thousand litres avoided against tanker and wet-wash baselines. Stress-test 52.5 MWh at 50% and 75% attribution before sign-off.

Fleet: NYUMA semi-automatic programme (validate scope with commissioning records)

One NYUMA semi-automatic portable (~0.71 robots/MW on 1.4 MW) with inspection-led weekly block plans since 2023 commissioning.

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 Dakuni?

Owners with 1.4 MW India 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 Sonar Bangla (1.4 MW, one portable): twin statistics band.

Versus APEX Nagpur (1.3 MW, five GLYDE automatic): automatic micro contrast.

Versus Chennai (10 MW, two portables): larger portable programme.

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

Dakuni portable-first accountability

Supervisors treat one machine as a coverage queue, not a plant-wide nightly wash—document weather holds after rain and wind events.

Dakuni micro-utility accountability

Twin statistics to Sonar Bangla—weekly queues and honest skipped-cycle logs matter more than robots/MW on sub-two-megawatt tables.

Technical committee closing brief for Dakuni

Attach row maps, inspection samples, and conservative 52.5 MWh / 26 tCO₂e stress tests. 196 thousand 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 1.4 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 196 thousand litres and 52.5 MWh stress tests at fifty and seventy-five percent attribution.

Conclusion

Dakuni demonstrates 1.4 MW robotic cleaning with reported 196 thousand litres water saved, 0.0525 GWh, and 26 tCO₂e—validated locally. Use peer links when building procurement packs.

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Share your MW, layout, and cleaning goals — our team will recommend the right robot mix and commercial path.

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Use directional CAPEX bands and savings for your capacity before a formal RFQ.

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