Solargis

Research from Solargis suggests current industry practice for calculating impacts of degradation on inverters may be wrong by more than 3%.

Yield uncertainty represents different things and different challenges, depending on who’s looking at it, writes Solargis' Marcel Suri.

Soiling-related losses are among the most serious threats to PV performance, according to Tomas Cebecauer and Vicente Lara-Fanego.

Without quality control, even expensive, high-precision radiometers can generate misleading data, according to Solargis' Marcel Suri.

Parts of China saw Global Horizontal Irradiation (GHI) reach 20% more than the long-term average (LTA) figures in 2025.

PV projects operate close to technical and financial limits, meaning that inaccurate inputs can have performance and profitability impacts.

Marcel Suri explores the datasets that will help improve the accuracy of PV output estimation and drive better performance.

Solargis' Marcel Suri reports on the mixing of datasets in solar project planning to artificially enhance financial attractiveness.

Solargis' Marcel Suri asks if the solar industry is using the best available science to characterise real-world solar resource conditions?

Collecting project performance data and managing cybersecurity concerns is no simple task for many project managers.