Open Sesame storage modelling test data set - solar irradiance

This data set contains solar irradiance time series at specific locations from three data sources that can be used as a basis for storage or energy system modelling. The three data sources differ in their spatial resolution: from pin-point (weather observations stations) to reanalysis data on a 31 km x 31 km grid, and in between data on a 3km x 3km grid, generated for the Sesame Seed project. The raw data have to be converted to power generation profiles to use them as input for storage or energy system modelling. Then, the data from the different sources can be compared and provide insight into the impact of different spatial scales on storage model results. Sources: ERA5, SOLEMI high resolution irradiance (DLR), BSRN observation stations. Spatial resolution: 31km x 31km (ERA5), 3km x 3km (SOLEMI), pin-point (BSRN) Spatial coverage: one station each in the Netherlands, France, Spain, Germany and Estonia, and the corresponding ERA5 and SOLEMI raster cells. Temporal resolution: 1h (ERA5) / 15 min (SOLEMI) / 1 min (BSRN) Temporal coverage: 2011 - 2012 High resolution modelling: SOLEMI model, see Meyer, R. et al 2003, SOLEMI: A New Satellite-Based Service for High-Resolution and Precision Solar Radiation Data for Europe, Africa and Asia, https://www.researchgate.net/publication/224780479_SOLEMI_A_New_Satellite-Based_Service_for_High-Resolution_and_Precision_Solar_Radiation_Data_for_Europe_Africa_and_Asia Power generation profiles can be derived by (assuming double axis tracking:) multiplying the irradiance time series with an efficiency of a photovoltaic unit and factors accounting for losses and availability (assuming no tracking or single axis tracking:) applying a conversion tool or library that calculates the irradiance on a tilted plane (where you have to specify the angles of tilt and azimuth), then multiplying with efficiency, loss and availability factors.