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Solargis
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Terrain-adapted PV design for more accurate yield estimates
August 28, 2026
Complex site topography can have a crucial bearing on a PV system’s energy yield writes Solargis CEO Marcel Suri.
Site adaptation is the non-negotiable standard for utility-scale solar
July 21, 2026
Site adaptation has become the backbone of solar project finance and modern technical designs, according to Solargis' Martin Opatovsky.
The impact of PV module degradation on inverter clipping losses
May 28, 2026
Research from Solargis suggests current industry practice for calculating impacts of degradation on inverters may be wrong by more than 3%.
PV yield uncertainty: What it means for engineers, lenders and investors
March 23, 2026
Yield uncertainty represents different things and different challenges, depending on who’s looking at it, writes Solargis' Marcel Suri.
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Soiling losses: from modelling to PV systems simulation
March 19, 2026
Soiling-related losses are among the most serious threats to PV performance, according to Tomas Cebecauer and Vicente Lara-Fanego.
Quantifying the impact of quality control on ground-based GHI measurements
January 21, 2026
Without quality control, even expensive, high-precision radiometers can generate misleading data, according to Solargis' Marcel Suri.
Chinese solar irradiance up to 20% higher in 2025 than historical averages
January 12, 2026
Parts of China saw Global Horizontal Irradiation (GHI) reach 20% more than the long-term average (LTA) figures in 2025.
Best practices for choosing a PV consultant and data provider
October 28, 2025
PV projects operate close to technical and financial limits, meaning that inaccurate inputs can have performance and profitability impacts.
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From energy yield to real-time performance: a new metric for PV project success
October 24, 2025
Marcel Suri explores the datasets that will help improve the accuracy of PV output estimation and drive better performance.
One high-quality dataset is enough: Rethinking common data practices in PV projects
August 27, 2025
Solargis' Marcel Suri reports on the mixing of datasets in solar project planning to artificially enhance financial attractiveness.
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