Daily rate
0.3–0.5%
West India dry season
Documented daily soiling on arid utility sites — higher after dust storms.
Tool · Soiling economics
Solar panel soiling loss calculator — how much energy are you losing?
Before comparing robot CAPEX or OPEX, quantify the MWh and ₹ foregone to dust. Enter plant MW, soiling loss %, and tariff — uses India-specific yield assumptions (1,500 kWh/kW-year P50). Site-specific results require a soiling study.
India benchmarks
Soiling loss reference figures
Seasonal
8–25%
Without systematic cleaning
Industry range on utility plants when washing cadence is infrequent.
Example
21.6 GWh
100 MW at 12% loss
~180 GWh annual generation at 1,500 kWh/kW-year — 12% soiling = 21.6 GWh foregone.
Revenue
₹7.6 Cr
At ₹3.50/kWh
Illustrative annual revenue loss for the 100 MW / 12% example above.
Why quantify soiling first
Soiling loss is the largest controllable yield leak on Indian utility plants
Soiling suppresses usable output when washing stays calendar-based. Industry discussions cite roughly 8–25% seasonal soiling loss on utility plants in Rajasthan, Gujarat, and other high-dust belts when cleaning is infrequent.
Daily soiling rates of 0.3–0.5% per day are documented in west India dry seasons. Seven days without cleaning can mean 3–5% output loss; ninety days without systematic cleaning can reach 15–25% on desert sites.
This calculator estimates annual generation at your MW capacity, applies your soiling loss assumption, and converts lost MWh to ₹ using your tariff. It does not model cleaning recovery — use the ROI calculator for payback on robotic programmes.
Actual loss depends on tilt, tracker behaviour, rain probability, and dust chemistry. Taypro recommends a site soiling study before binding commercial decisions. See our performance methodology for how we define generation recovery claims.
Regional context
Soiling chemistry varies by Indian state
Rajasthan and Gujarat see loose silica and cementitious films — dry-brush robotic cleaning fits well. Coastal Tamil Nadu and Andhra Pradesh add salt aerosols. Metro-adjacent plants face soot and PM2.5 with different adhesion.
Agri-adjacent sites see harvest dust spikes in October–November. Monsoon rain can reset modules — but pre-monsoon dust seasons often drive the highest annual loss.
Weekly manual cleaning may leave 3–6% residual annual loss; optimised daily robotic programmes target under 2% in field discussions — always site-dependent.
The O&M question
Do you know your annual ₹ at risk from dust?
Many plants model inverter availability but not soiling loss in ₹. This calculator gives a directional starting point before RFQ and ROI modelling.
How to use results
From soiling estimate to cleaning decision
Four steps O&M teams take after quantifying dust loss.
Set realistic soiling %
Use regional presets or PR data. High-dust Rajasthan/Gujarat sites often model 15–25%; milder regions 5–12%.
Convert MWh to ₹ at your tariff
Apply PPA, merchant, or blended ₹/kWh. This is the annual value at risk from dust — not yet net of cleaning cost.
Compare cleaning programme cost
Run the ROI calculator with CAPEX or OPEX. Compare recovered MWh value vs cleaning TCO over 5 years.
Validate with site study
Taypro engineers assess dust sources, cycle count, and robot model before binding commercial terms.
Track PR recovery in NECTYR
Correlate cleaning cycles with block-level PR trends — closing the SCADA blind spot on field action.
Research
Soiling loss articles and tools
Interactive tool
Estimate your annual soiling loss
Directional only — not a guarantee of recoverable MWh. Defaults use India market yield (1,500 kWh/kW-year).
12% — share of annual generation lost to dust
PPA, merchant, or blended portfolio rate
Estimated annual impact
- Annual generation
- 150.00 GWh
- Energy lost to soiling
- 18.00 GWh
- Revenue foregone
- ₹6.30 Cr
- Monthly revenue foregone
- ₹52.50 L
Directional estimate only. Does not include cleaning recovery, inverter clipping, or curtailment.
Results are illustrative. Site-specific soiling studies, PR baselines, and weather normalization are required for investment-grade models. See performance methodology.
Solar soiling loss calculator — FAQ
How to interpret results and next steps.
Plant MW × 1,000 kW × specific yield (default 1,500 kWh/kW-year for India P50). Adjust tariff; yield is held constant unless you request a site-specific study.
Use PR history or regional benchmarks: 5–8% mild, 8–15% typical utility India, 15–25% high-dust Rajasthan/Gujarat without frequent cleaning.
No. It estimates loss from dust only. Use the ROI calculator to model cleaning cost vs recovered MWh.
No. This tool quantifies soiling loss. The price calculator models robot CAPEX/OPEX payback over 20 years.
Soiling suppresses PR. SCADA shows kWh after loss; this calculator translates assumed soiling % into MWh and ₹ at risk.
When soiling loss is under ~1.5–2% and cleaning cost exceeds recovered PPA value — common on mild sites or during heavy rain seasons.
Use your effective ₹/kWh: PPA rate, merchant capture, or blended portfolio average.
Yes, but yield assumptions differ for rooftop. Utility ground-mount defaults are most accurate above ~1 MW.
Many utility programmes run 3–10 dry cycles monthly in dry season. A soiling study sets the right cadence.
See /performance-and-test-methodology for how Taypro defines dust removal and generation recovery claims.
Yes. Request a site soiling study and engineering review before binding cleaning contracts.
Lost MWh from soiling reduces avoided emissions. See our carbon/soiling blog for portfolio framing.
Know your loss — then model the fix
Use the ROI calculator to compare cleaning programme economics, or contact Taypro for a site soiling study.