Validated onshore and offshore time series for European countries (1979-2017)

This repository comprises hourly time series representing the onshore and offshore wind capacity factors in every European country (EU-28 except the islands Malta and Cyprus plus Norway and Switzerland) from 1979 to 2017. The term capacity factor is defined as the ratio between the delivered power and the cumulative installed capacity. 3 letter codes (ISO-3166-3) are used to identify the countries. For every country, onshore wind time series are included. For some of the countries, offshore wind time series are also included. In both cases, the time series include data for the period 1979-2017. However, for every year, the installed capacity layout is kept fixed and corresponds to turbines running in 2015. By doing so the time series for different years represent the weather influenced on the wind generation and are not impacted by differences in installed capacities. To obtain onshore and offshore wind time series, wind velocity from Climate Forecast System Reanalysis (CFSR) dataset has been converted into electricity generation and aggregated at country level. The methodology was described in detail and validated for Denmark in Andresen et al., Energy 93 (2015). In the text annexed to the data files, a description of the data and parameters used to bias-correct the modelled time series for every European country is provided. The license for the AU REatlas wind 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, Validated onshore and offshore time series for European countries (1979-2017), RE-INVEST project (2019) More information can be requested from M. Victoria (mvp@eng.au.dk) and Gorm B. Andresen (gba@eng.au.dk). These time series were generated in the framework of RE-INVEST project. A similar dataset comprising solar photovoltaic time series at national scale can be accessed through the zenodo repository 10.5281/zenodo.1321809 and details can be found in Victoria and Andresen, Prog. In Phot.: Res and App. (2019