Per pass or per cycle, not nameplate efficiency
Dust-removal figures describe loose particulate removed from module glass in one completed pass or automated cycle. They do not describe panel conversion efficiency or guaranteed plant-wide MWh uplift.
Transparency for technical buyers
How Taypro defines, tests, and reports performance
Qualified claims for 99%+ dust removal, generation recovery, fleet impact figures, and platform-specific cleaning metrics.
Written for asset owners, EPC teams, and O&M leads evaluating robotic dry cleaning at utility scale in India. See cleaning technology for how robots execute each cycle, then scroll for definitions, test methods, and public-stat assumptions.
Last updated: May 15, 2026
Asset owners & IPPsEPC & procurementO&M & technical diligence
Reference figures
Fleet metrics documented on this page
5 GW+
Solar Assets Cleaned Daily
11B+
Panels Cleaned Annually
93k+
Metric Tons Of CO2 Emission Reduced Annually
700M+
Liters of Water Saved Annually
Purpose of this page
This page explains how Taypro Private Limited defines, measures, and communicates performance figures on taypro.in, including "99%+" dust-removal statements and references to generation or performance ratio recovery. It is intended for asset owners, EPC teams, and O&M leads evaluating robotic dry cleaning for utility-scale PV in India.
Three principles behind every public claim
Marketing numbers on taypro.in are never standalone slogans. Each ties back to a defined measurement, a platform context, and a scope boundary.
Platform-specific mechanics
Brush-based semi-automatic paths (HELYX) and dual-pass autonomous paths (GLYDE, GLYDE-X) use different cleaning mechanics. Metrics are quoted per pass or per cycle accordingly, never blended into one universal number.
Site assessment for outcomes
Generation recovery, water savings, and CO₂ figures depend on your soiling baseline, cleaning cadence, tariff, and weather. Plant-specific diligence requires site data, not homepage aggregates alone.
What "99%+ dust removal" means
This is the most common figure on product pages and case studies. Here is the precise definition Taypro uses in technical review.
What it means
- Dust removal is the fraction of loose surface particulate removed from the module glass in one completed cleaning pass (HELYX) or automated dual-pass cycle (GLYDE, GLYDE-X), under defined test or field conditions.
- Figures are platform-dependent: brush-based semi-automatic paths and dual-pass autonomous paths use different mechanics and are quoted per pass or per cycle accordingly.
What it does not mean
- It does not mean the solar panel converts 99% of sunlight to electricity.
- It does not mean the plant will gain 99% more energy output from a single cleaning event.
- It does not guarantee that every module on site reaches the same dust-removal result in every weather or dust-load condition.
Generation recovery vs. module efficiency
Soiling on Indian utility plants can suppress usable output when washing is infrequent. Industry discussions often cite roughly 8–25% seasonal soiling loss depending on region, tilt, and O&M practice. Robotic dry cleaning aims to recover energy that would otherwise be lost to dust, not to raise nameplate module efficiency.
How we test and validate
Taypro validates cleaning performance through a combination of controlled trials, deployed fleet evidence, and third-party certification, not a single lab snapshot.
Bench & field trials
Controlled trials on representative module types, using standardised artificial and natural dust loads where applicable.
Visual & gravimetric checks
Before/after surface condition and mass of removed dust on deployed platforms in live field conditions.
Fleet operational data
Cycle completion, route coverage, and performance ratio trends where customers share SCADA or IV data under NDA.
Third-party certification
Selected platforms are TÜV NORD certified. Certification scope is stated on product datasheets and customer proposals.
Results vary with dust type (agricultural film, sand, pollen, post-storm mix), module tilt, tracker motion, and whether one or two passes are completed in a cycle.
Platform summary
Each Taypro platform is quoted on its own cleaning mechanic. Compare paths below, then review product datasheets for your layout.
Fixed-tilt · autonomous
GLYDE (automatic)
99%+ dust per automated dual-pass cycle
Airflow + microfiber drum; autonomous row run
GLYDE (automatic)Semi-automatic · brush
HELYX (semi-automatic)
95%+ dust per single forward pass
Counter-rotating PBT brushes; operator placement per row
HELYX (semi-automatic)Single-axis trackers
GLYDE-X (trackers)
99%+ dust per dual-pass cycle on tracker tables
Dual-pass dry cleaning with flexible bridge; tracker compatibility per site assessment
GLYDE-X (trackers)Uptime and service commitments
Marketing references to "highest uptime" or "same-day breakdown" response describe Taypro service targets backed by pan-India spares, NECTYR remote diagnostics, and AMC programs. Contractual SLAs are defined in customer agreements, not on this page.
Fleet impact figures on taypro.in
Hero, company, and product pages cite aggregate fleet figures. Each uses approved public marketing assumptions for India utility-scale deployments. Rounded tiles may differ slightly from plant-specific models.
5 GW+
5 GW+ solar assets cleaned daily
Daily operational throughput across the live robotic cleaning fleet, capacity under active cleaning programmes, not nameplate DC installed industry-wide.
11B+
11 billion+ panels cleaned annually
Aggregates completed cleaning passes across deployed automatic and semi-automatic fleets (11,00,00,00,000 panel passes per year, fleet aggregate).
150+
150+ live sites
Operational deployments with active Taypro cleaning programmes and fleet telemetry on NECTYR where applicable.
188 GWh+
188 GWh+ additional clean generation
Compares waterless robotic cleaning cadence to typical wet-wash baselines, recovered output from reduced soiling, not nameplate module efficiency gains.
700M+
700M+ litres of water saved annually
Uses CEEW-class wet-wash benchmarks (~7,000 L per MW per cycle × ~20 cycles per year vs. waterless robotic cleaning across the fleet model).
93k+
93k+ metric tons of CO₂ avoided
Directional ESG model output from generation recovery assumptions and grid-emission factors. Plant-specific outcomes require site assessment and local tariff validation.
Directional ESG model outputs may differ slightly from rounded public tiles. Validate reported water, generation, and carbon statistics with local SCADA and tariffs before lender or board packs.
Plant-specific documentation
For tenders, lender diligence, or internal technical review, Taypro can provide site-specific cleaning plans, cycle assumptions, and, where available, anonymised field outcomes from comparable deployments. with plant capacity, layout, and location.
Frequently asked questions
Quick answers for procurement and technical diligence teams.
No. It describes loose surface dust removed from module glass in one completed pass or dual-pass cycle under defined conditions, not a guaranteed MWh uplift percentage for your entire plant.
Cadence depends on soiling rate, season, and O&M policy. Many Indian utility programmes run roughly 3–10 dry cycles per month on automatic fleets, weather permitting, not daily plant-wide washing of every module.
No. Dust type, module tilt, tracker motion, and whether one or two passes complete in a cycle all affect outcomes. Field trials and gravimetric checks account for these differences; universal guarantees do not.
They use approved public marketing assumptions aggregated across live deployments, daily throughput, completed panel passes, and fleet-scale models. They are not substitutes for plant-specific SCADA validation.
GLYDE and GLYDE-X quote 99%+ dust removal per automated dual-pass cycle (airflow + microfiber). NYUMA and NYUMA-X quote 98%+ per single-pass PBT cycle. HELYX quotes 95%+ per single forward brush pass with operator placement per row.
Yes. Contact our applications team with plant capacity, layout, and location. We can provide site-specific cleaning plans, cycle assumptions, and anonymised comparable outcomes where available.