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Transparent risk mitigation
and cost optimization

For utility-scale PV power plants. Starting from day 1 of development.

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PVRADAR now integrates monthly soiling loss factors directly into Terabase PlantPredict, improving the accuracy of your solar energy forecasts!

We empower project developers to achieve
world-class performance and reliability.
Across all climatic zones.
Transparently and traceably.

Our solution

Ready-to-use licenses, tailor-made software solutions and expert consulting

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Soiling and snow risk assessment
Accurately predict monthly soiling and snow losses for any location on Earth based on satellite data.
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Cleaning cost optimization
Compare dozens of cleaning technologies and services for minimum total cost of ownership.
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Albedo improvement
Evaluate the use of albedo enhancing materials for maximum return on investment.
Trusted by:
atlascolbunfortumiberdrolaiea-pvps
CustomersProjects analyzedGWp assessed
18
185
7.9
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At Iberdrola, optimizing the performance of our PV plants is essential. PVRADAR’s assessment helped us evaluate soiling and snow losses more accurately, thus contributing to the profitability of our projects.

Esther Gomez Ruiz

Head of Studies and Modeling, Global Engineering

iberdrola

Success stories

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PVRADAR and Sapienza University Reveal Severe Impact of Saharan Sandstorms on PV Performance in Europe
Our master student, Jaime Cortés examined the impact of Saharan dust storms on PV energy generation in Europe, analyzing irradiance reductions and soiling losses. Using PVRADAR’s tools, it highlights the need for preventive measures like cleaning strategies to maintain PV performance and grid stability in dust-affected regions.
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PVRADAR supported latest IEA PVPS Task 13 report:
PVRADAR supported the IEA PVPS Task 13 report by estimating the benefits of albedo enhancers. The software evaluates site conditions, energy gains, and material costs, providing a comprehensive cost-benefit analysis, enabling data-driven decisions for optimizing bifacial PV systems.
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Integration of PVRADR Soiling API into PlantPredict Yield Estimations
PlantPredict users can now easily import 12 average monthly soiling loss factors for any location in the USA as inputs for the yield estimation. This P50 estimate considers typical dust conditions for the area, while excluding localized influences from human activity and birds.
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Soiling risk assessment for a 1.4 GW portfolio
Definition of the global strategy against soiling risks for 15 projects across 4 continents and various climatic zones.
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Snow-loss evaluation for new projects in the Nordics
Reducing the financial risk of new large-scale projects through early assessment of snow losses based on historical data and accurate modelling.

See for yourself.

Request a demo today and learn how you can use PVRADAR
to achieve world-class performance and reliability.