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Dataset Open Access

Photovoltaic time series for European countries and different system configurations

Victoria, Marta; Andresen, Gorm B.

This repository comprises 38 years-long hourly time series representing the photovoltaic (PV) capacity factors in every European country (EU-28 plus Serbia, Bosnia-Herzegovina, Norway, and Switzerland). The term capacity factor is defined as the ratio between the delivered power and the cumulative installed capacity (DC). 3 letter codes (ISO-3166-3) are used to identify the countries. Time series include years from 1979 to 2017.

To obtain PV time series irradiance from Climate Forecast System Reanalysis (CFSR) dataset has been converted into electricity generation and aggregated at country level. The PV model used for the conversion is described in the article linked below. Prior to conversion, reanalysis irradiance is bias corrected using satellite-based SARAH dataset and a globally-applicable methodology, which is also described in the article.

For every country, four different time series assuming alternative PV configurations, i.e., rooftop, optimum tilt, 2-axis tracking, and delta are provided. To obtain the PV hourly capacity factors for a country, different assumptions on the shares of the alternative configurations can be made and the weighted time series can be aggregated accordingly.

The license for the AU REatlas photovoltaic time series dataset is: Creative Commons Attribution 4.0 International (CC BY 4.0)

When using this data please make sure you include the following citation:

M. Victoria and Gorm B. Andresen (2018), Using validated reanalysis data to investigate the impact of the PV system configurations at high penetration levels in European countries, arXiv 1807.10044

More information can be requested from Gorm B. Andresen (gba@eng.au.dk ) and M. Victoria (mvp@eng.au.dk )

Version 2 assumes tilt angle of 60º for PV panels in delta configuration (in version 1, tilt angle in delta configuration is equal to latitude). The remaining files do not change.

Files (292.6 MB)
Name Size
pv_delta.csv
md5:d33a07d70cb78ca1f93b812928567389
73.2 MB Download
pv_optimal.csv
md5:0cb2a808cee8f1a0288f212fdfc1c768
73.2 MB Download
pv_rooftop.csv
md5:714b0e2838c5c2f8db7e2fb7e6f44a91
73.2 MB Download
pv_tracking.csv
md5:f492b8075f3ce2a4b3bc64807624bfec
73.2 MB Download
  • M. Victoria and Gorm B. Andresen (2018) , Using validated reanalysis data to investigate the impact of the PV system configurations at high penetration levels in European countries, arXiv 1807.10044

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