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Modelling long time series of photovoltaic electricity generation in hightemporal resolution using reanalysis data has become a commonly usedalternative to assess the viability of systems with high shares of renewables,their risks of failure and probability of extreme events. While there is aconsiderable amount of literature evaluating the accuracy of the original solarradiation and temperature variables in these data sets, the validation of thecalculated output of photovoltaic installations is scarce and usually limitedto locations in Europe. This work combines the new ERA5-land reanalysis dataset and PV_LIB to generate hourly time series of photovoltaic electricitygeneration for several years and validates the results using individual data of57 large photovoltaic plants located in Chile. Results are also compared withPV output for these locations calculated using renewables.ninja, a platformrelying on MERRA-2, a global reanalysis with five times lower spatialresolution. Accuracy and bias indicators are satisfactory for plants that donot present severe anomalies in their generation profiles and where basic plantcharacteristics such as size and orientation match our model assumptions.However, the improvements in indicators over results obtained withrenewables.ninja from MERRA-2 are minor. The validation process serves not onlyto confirm the suitability of the proposed workflow to model the output ofindividual photovoltaic plants, but also to list and discuss data quality andavailability issues. Efforts towards availability and standardization of dataof individual installations are necessary to improve the basis for furtherdevelopments.

Simulation of long-term time series of solar photovoltaic power: is the ERA5-land reanalysis the next big step?