SolarDust
Aerial drone view of the edge of a utility-scale photovoltaic solar array against arid desert terrain

Satellite Soiling Intelligence

Turn satellite intelligence
into recovered energy.

SolarDust uses satellite imagery and AI to detect photovoltaic soiling, quantify energy losses and identify the optimal time and location to clean.

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Demonstrated Value · Demo Portfolio

$4.3M

USD recoverable

Demo Data

7

Washes avoided

Demo Data

11.5K

m³ conserved

Demo Data

Oct 2025 – Aug 2026 · 5 sites · 737.4 MW · Illustrative Data · Total value: $4.8M USD

The Soiling Problem

Dust does not accumulate uniformly.
Why clean the entire plant the same way?

Soiling reduces production, generates economic losses, and accumulates heterogeneously across your plant. Fixed schedules waste resources and miss recovery opportunities.

Zone A

Clean

Zone B

Moderate

Zone C

High · Priority

Zone D

Critical · Recommended

Spatial Soiling Analysis · Example Plant

Illustrative Data

Traditional O&M

Scheduled Maintenance

  • Fixed calendar schedules
  • Whole-plant cleaning
  • No spatial visibility
  • Reactive decisions
  • High water consumption
  • Maintenance cost focus

SolarDust

Intelligent Maintenance

  • Satellite monitoring
  • Spatial intelligence
  • AI-driven analysis
  • Targeted zone cleaning
  • Water use optimization
  • ROI optimization

Move from scheduled maintenance to intelligent maintenance.

How SolarDust Works

From satellite data to
optimal cleaning decisions.

A complete analytical pipeline that transforms raw satellite observations into actionable maintenance intelligence.

Earth Observation
Data
Intelligence
Decision
Energy Recovery
01

Satellite Acquisition

Periodic observation of the plant using satellite imagery at regular intervals.

02

Geospatial Processing

Image processing, corrections and preparation of spatial information layers.

03

Soiling Intelligence

Identification of spectral patterns associated with dust and soiling accumulation.

04

AI Analysis

Analytical models to interpret spatial and temporal evolution of soiling.

05

Energy Impact

Estimation of the potential impact on energy generation and losses.

06

Wash Optimization

Comparison between energy loss cost and maintenance intervention cost.

07

ROI Analysis

Estimation of the expected return on investment for a cleaning intervention.

08

Maintenance Recommendation

Recommendation of when, where and how to prioritize the cleaning operation.

Where to clean
When to clean
Energy recovery
Expected ROI

Platform Preview

A professional-grade
geospatial intelligence platform.

From satellite map to maintenance recommendation — all in one industrial-grade interface.

Satellite view of solar plant showing dust distribution overlay with colored zones indicating soiling severity
Illustrative Data
ACTIVE

Zone C3

Critical · 56.4%

Zone C4

High · 7.1%

Total scenes: 145Last 7 days: 3Demo Data

Key Indicators

Demo
Soiling Index
1.13μ
Energy at Risk
48.2MWh

Soiling evolution · 12 scenes

Wash Optimization

Clean when it makes economic sense.

Cleaning Cost$12,400
Energy at Risk$39,700
Net Benefit$27,300
Optimal Wash Point Reached

Illustrative Data

Maintenance Intelligence

Recommended Wash

PRIORITY HIGH
Sector

C3 / C4

Energy Recovery

41.7 MWh

Cleaning Cost

$12.4K

Expected ROI

3.2×

Demo Data · Illustrative purposes only

ROI Simulator

Clean when it makes
economic sense.

Not simply because the calendar says so. Adjust the parameters to see the estimated financial impact of a cleaning intervention.

Illustrative simulation — not based on real SolarDust data

Input Parameters

65 $/MWh
$12.0K
50 MW
8 %

Expected ROI

33.9×

Return on cleaning investment

Energy at Risk

7200 MWh

$468.0K

Recoverable Energy

6264 MWh

$407.2K

Net Benefit

$395.2K

After cleaning cost

Payback Period

0.4 mo

Time to recover cost

Optimal Wash Point Reached

Cleaning intervention is economically justified at current parameters.

Use Cases

Built for every role
in solar operations.

Large Plants

Utility-Scale PV

Optimize cleaning cycles for large-scale solar plants. Reduce unnecessary interventions and maximize energy recovery per MW.

Arid Environments

Desert Solar Plants

High dust accumulation environments require precise spatial monitoring. Identify critical zones before generation losses compound.

Multi-Asset

Solar Portfolios

Monitor multiple assets simultaneously. Rank plants by soiling severity and prioritize maintenance resources across your portfolio.

Operations

O&M Companies

Transform maintenance planning with spatial data. Prioritize activities, optimize water use, and demonstrate value to clients with objective performance data.

Financial

Asset Managers

Translate operational performance into financial variables. Quantify soiling impact on asset value and inform investment decisions.

Portfolio Intelligence

From one plant to your entire portfolio.

SolarDust scales from single-plant analysis to portfolio-level monitoring. Rank assets by soiling severity and prioritize maintenance resources where they matter most.

10

Assets

Demo

840

MW

Demo

3

Wash Alerts

Demo

12.8

GWh at Risk

Demo

Get Started

Recover more energy
from every solar asset.

Use satellite intelligence and AI to transform photovoltaic cleaning into an economic decision.

Satellite imageryActionable maintenance intelligence
Scheduled cleaningData-driven optimization
Monitoring dustManaging economic impact

Request a SolarDust Demo

Tell us about your portfolio and we'll set up a personalized demo.