SolarAnywhere announces updates to model bifacial PV, shading losses in complex terrain

Clean Power Research has announced a series of SolarAnywhere solar resource data and power simulation innovations that support the development and operation of advanced bifacial and solar + storage plants, as well as PV systems in locations with complex terrain or extreme weather risks. Reducing PV modeling uncertainty helps companies decrease financial and operational risk for PV systems located around the world.

Companies seeking to modernize and embark on digital transformation efforts are taking advantage of the SolarAnywhere API to integrate highly accurate, site-specific data and power simulation outputs into their business processes. SolarAnywhere enables a wide number of use-cases, including project prospecting, large-scale power simulations, operational loss monitoring, forecasting and more.

“We’re excited to continue advancing SolarAnywhere to meet the increasing need for more accurate, more reliable data and power simulations that easily integrate into our customer’s digital systems,” said Jeff Ressler, Clean Power Research CEO. “We’re committed to meeting the specialized needs of modern bifacial and solar-plus-storage PV plants, as well as supporting solar growth into regions with exposure to unique weather risks or difficult terrain. Across all scenarios, SolarAnywhere enables workflow digitalization, and it’s been gratifying to see our customers efficiently grow their businesses and increase profitability using the SolarAnywhere API.”

Today’s SolarAnywhere advancements include:

• High-resolution (30m) far-horizon shading data — enables accurate assessment of shading losses in complex terrain around the world
• Bifacial PV modeling with time-series albedo data — high-precision simulations result from the use of industry-trusted, pvlib open-source models and SolarAnywhere irradiance data
• Improved clipping loss assessment using high-resolution (five-minute) SolarAnywhere data with True Dynamics — reduces clipping loss errors by more than 90% versus hourly data to help assess ramp and smoothing requirements, ideal for solar + storage plant development
• Extreme-weather risk assessment — site-specific risk assessment from snow and soiling losses based on pvlib open-source simulation models combined with SolarAnywhere particulate matter data

News item from Clean Power Research