Success stories
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.
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.
Media
PES Securing solar investment: strategies for world class performance and reliability
“A recent study found that ‘solar assets are underperforming by an average of 8%’. Part of the problem is that the average photovoltaic project is designed based on standard values for climate-related losses that bear no relation to reality” PES, issue 128, p.84-87
PV-MAGAZINE Novel software to optimize PV cleaning strategies
New PVRADAR’s Cleaning App can reportedly model soiling losses and cleaning benefits, while reducing cleaning costs and maximizing the overall economic performance of projects.
Blog
Choose the best fully-autonomous cleaning robot for your project with PVRADAR
How do you select the most cost-effective cleaning robot for your project? In places with heavy soiling, fully autonomous robots are a viable solution to keep soiling losses under control. But which one should you choose from the wide range on the market? The cheapest, fastest, most efficient or the most durable?
Using PVRADAR, we show how five different fully autonomous robotic solutions work in a sample project in Chile.
Soiling assessment and cleaning optimization with PVRADAR
The decision on how to clean your PV plant is complex. Not cleaning can result in huge revenue losses, while suboptimal strategies can generate more costs than benefits. In order to find the most cost-effective cleaning strategy, many different scenarios have to be calculated and compared, taking into account all technical details and related costs.
PVRADAR solves this challenge in an easy, fast and accurate way, letting you get the most out of your PV project.