operations and maintenance

Arthur Cao outlines how fresh approaches are needed to ensuretracker-based PV systems are designed adequately to avoid unnecessary failures.

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.

Solargik's Morag Am-Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

Intertek CEA's Joerg Althaus examines some of the most commonly found tracking and racking defects in PV power plants.

Statkraft and 3E analysed 64 utility-scale PV plants, representing 2.1GWp DC capacity, with datasets spanning six months to five years.

'Advanced forecasting tools are already improving solar and demand predictions by over 30%,' writes Schneider Electric's Frédéric Godemel.

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

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

New data suggests the traditional assumptions behind hail stow modelling may be underestimating the likelihood of damage to a PV system.