The Seci-1 solar plant is a 50 MW ground mount installation where recurring dust and uneven manual washing were eroding performance ratio. Taypro deployed 44 automatic and 50 semi-automatic robots (94 total) using GLYDE, NYUMA, about 1.9 robots per MW to run predictable, waterless cleaning cycles without scaling night labour to match plant size.
- 50 MW · Ground Mount
- Fleet: 44 automatic and 50 semi-automatic robots (94 total) using GLYDE, NYUMA, about 1.9 robots per MW
- Cleaning: mixed automatic and semi-automatic
- Commercial: CAPEX
- Operations: NECTYR fleet visibility and scheduled cycles
The sections below follow how the plant was run in the field — environment, O&M constraints, deployment choices, daily operations, and measured results.
Environment and soiling at Seci-1
Regional dust and dry spells drive soiling on the 50 MW array. Fine particles build on module glass between cycles; downwind rows and roads often show PR dips before the centre of the plant.
Robotic cleaning here prioritises frequency and logged block coverage rather than occasional deep washes. That approach fits ground mount layouts where manual crews could not repeat often enough to hold soiling loss flat through pre-monsoon months.
O&M before Taypro
For a 50 MW mid plant, intermittent manual cleaning consumed budget without stabilising PR. The team needed a programme that could run on schedule without adding permanent night labour.
Water logistics for wet washing and reliance on contracted labour made it hard to increase cleaning frequency when dust load spiked — a common constraint in the region.
Taypro deployment
Taypro installed 44 automatic and 50 semi-automatic robots (94 total) using GLYDE, NYUMA, about 1.9 robots per MW for mixed automatic and semi-automatic waterless cleaning across ground mount blocks. Procurement followed CAPEX; brushes and traverse speeds were aligned with module OEM cleaning guidance.
Deployment emphasis: Mid-scale 50 MW deployment ; automation reducing operational costs; scalable fleet management via NECTYR. Commissioning prioritised high-soiling blocks first, charging layout, and clear completion reporting to leadership.
GLYDE-class automatic units cover repeatable rows with standardised docking and night routes. Semi-automatic units, where deployed, close gaps near irregular geometry or zones still being onboarded.
Day staff use fleet dashboards to see which blocks finished overnight, when wind holds paused runs, and which assets need brush or drive checks — reducing reliance on anecdotal crew reports.
Commissioning and handover
Commissioning at Seci-1 walked every planned path on ground mount rows, validated end-of-row turns, wind holds, and parking/charging placement so deadhead time stayed low across 50 MW.
Local technicians trained on start/stop, brush inspection, and fault handling before field teams demobilised. Handover included path maps, hold rules, and spare reorder levels sized for 94 on-site fleet.
Robotic cleaning was added to the existing O&M calendar next to vegetation control and inverter maintenance — owned by the same leads who already tracked PR and washing spend.
Day-to-day operations
Block priority favours downwind strings and access-road edges where dust returns fastest, so limited robot hours target the highest marginal MWh recovery first.
Brush wear, battery health, and firmware updates follow Taypro preventive maintenance guidance. Tier-one technicians resolve most stops locally; remote support handles exceptions without flying specialists for every alert.
Performance ratio and cleaning discipline
Soiling loss on ground mount strings often appears in inverter data before modules look dirty from the access road. Weekly PR reviews at Seci-1 now include which blocks robots cleaned, so teams separate soiling effects from equipment faults faster.
Edge rows and downwind haul roads remain the first strings to dip; the priority queue reflects that. When a block is logged complete and PR is still soft, O&M checks brush wear or path obstructions before replacing strings.
Dry brushing at night avoids midday water sprays that stress glass temperatures. Wind holds are enforced so robots pause rather than risk modules or assets during gusts — delays are logged, not hidden.
Results and impact
Operators report: ~7,000,000 litres/year water saved; improved cleaning frequency leading to measurable PR gain; reduced labour dependency and cleaning cost Finance and O&M at Seci-1 review these figures alongside SCADA PR — not as a substitute for plant-level attribution, but as a consistent year-on-year cleaning baseline.
- About 7 million litres of water avoided annually versus wet-wash baselines (site-reported).
- About 1.88 GWh of additional clean generation per year linked to improved cleaning discipline (site-reported; validate against curtailment).
- Roughly 930 metric tons CO₂ equivalent when grid factors are applied to recovered generation.
- 44 automatic robots on repeatable rows.
- 50 semi-automatic robots for irregular blocks or ramp-up zones.
Water savings reduce tanker and groundwater dependence; generation and carbon figures should be modelled with your tariff, curtailment, and disclosure methodology before board or lender packs.
Commercial and ownership
The plant procured robots under CAPEX. Finance amortises hardware against avoided washing cost (about 7 million litres water annually) and site-reported uplift near 1.88 GWh.
Payback modelling should use local tariff, curtailment, and real row counts — not generic robots-per-MW tables. Taypro commissioning and spares support reduce ramp risk while assets stay on the plant balance sheet unless an Opex service model is chosen elsewhere in the portfolio.
Regional operating notes
Local dust, wind, and access conditions at Seci-1 set the cleaning calendar. Paths were validated on this layout before production cycles — peer plants should compare block drawings and SCADA history, not only nameplate MW.
Applying this reference to your plant
Use Seci-1 as a field benchmark for 50 MW, mixed automatic and semi-automatic cleaning, and 94 robots on ground mount arrays — not as generic copy. Bring your block layout, tariff, and soiling history to technical review and the ROI calculator before capital approval.
If you operate a similar plant in India, compare fleet density (~1.9 robots per MW here), monitoring approach, and reported metrics with your own SCADA baselines before procurement sign-off.
Related resources: automatic cleaning systems · ROI calculator · how Taypro cleaning works.
