In a report published, DNV found Solcast’s historical data and irradiance methodology bankable, and at or above industry standards for satellite irradiance data.
Using live satellite imagery, global weather data and machine learning, Solcast generates over 600 million data values per hour, made available to over 60,000 users globally for the planning, operation and management of over 250GW of solar assets around the world.
High-quality reference data
DNV’s data validation and methodology review builds on previous validation exercises conducted prior to its acquisition of Solcast in 2023, and the experience of DNV advisory teams who use Solcast data in their daily work. The study emphasizes the importance of measurement calibration, cleaning and metadata for achieving high-quality reference data. Lower bias and standard deviation for GHI (global horizontal irradiance) data in sites with high-quality measurements suggest that good quality satellite irradiance data has similar uncertainty compared to on-site measurements.
Did you miss that? Cooperation for monitoring and analyzing the global PV portfolio
DNV’s latest Energy Transition Outlook projects that 30% of all electricity will come from solar PV by 2050. As global solar capacity increases, the need for reliable data analytics and trusted monitoring systems in the energy market is growing rapidly. (hcn)
