A platform for research: civil engineering, architecture and urbanism
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ACDC-ESM Energy Climate dataset consitent with ENTSO-E TYNDP2020 studies (CSV & NetCDF)
Energy Climate dataset consistent with ENTSO-E Pan-European Climatic Database (PECD 2021.3) in CSV and netCDF format TL;DR: this is a tidy and friendly version of a recreation of ENTSO-E's PECD 2021.3 data by using ERA5: hourly capacity factors for wind onshore, offshore, solar PV and hourly electricity demand are provided. All the data is provided for 28-71 climatic years (1950-2020 for wind and solar, 1982-2010 for demand). Description Country averages of energy-climate variables generated using the Python scripts, based on the ENTSO-E's TYNDP 2020 study. For the following scenario's data is available National trends 2025 (NT 2025) National trends 2030 (NT 2030) National trends 2040 (NT 2040) Distributed Energy 2030 (DE 2030) Distributed Energy 2040 (DE 2040) Global Ambitions (GA 2030) Global Ambitions (GA 2040) The time-series are at hourly resolution and the included variables are: Generation wind offshore (aggregated for all years per scenario in a .zip) Generation wind onshore (aggregated for all years per scenario in a .zip) Generation solar photovoltaic (aggregated for all years per scenario in a .zip) Total energy demand (all zones combined in single file per scenario) The Files are provided in CSV (.csv) & NetCDF (.nc). The data is given per ENTSO-E's bidding zone as used within the TYNDP2020. DISCLAIMER: the content of this dataset has been created with the greatest possible care. However, we invite to use the original data for critical applications and studies. ; Laurens P. Stoop received funding from the Netherlands Organization for Scientific Research (NWO) under Grant No. 647.003.005.
ACDC-ESM Energy Climate dataset consitent with ENTSO-E TYNDP2020 studies (CSV & NetCDF)
Energy Climate dataset consistent with ENTSO-E Pan-European Climatic Database (PECD 2021.3) in CSV and netCDF format TL;DR: this is a tidy and friendly version of a recreation of ENTSO-E's PECD 2021.3 data by using ERA5: hourly capacity factors for wind onshore, offshore, solar PV and hourly electricity demand are provided. All the data is provided for 28-71 climatic years (1950-2020 for wind and solar, 1982-2010 for demand). Description Country averages of energy-climate variables generated using the Python scripts, based on the ENTSO-E's TYNDP 2020 study. For the following scenario's data is available National trends 2025 (NT 2025) National trends 2030 (NT 2030) National trends 2040 (NT 2040) Distributed Energy 2030 (DE 2030) Distributed Energy 2040 (DE 2040) Global Ambitions (GA 2030) Global Ambitions (GA 2040) The time-series are at hourly resolution and the included variables are: Generation wind offshore (aggregated for all years per scenario in a .zip) Generation wind onshore (aggregated for all years per scenario in a .zip) Generation solar photovoltaic (aggregated for all years per scenario in a .zip) Total energy demand (all zones combined in single file per scenario) The Files are provided in CSV (.csv) & NetCDF (.nc). The data is given per ENTSO-E's bidding zone as used within the TYNDP2020. DISCLAIMER: the content of this dataset has been created with the greatest possible care. However, we invite to use the original data for critical applications and studies. ; Laurens P. Stoop received funding from the Netherlands Organization for Scientific Research (NWO) under Grant No. 647.003.005.
ACDC-ESM Energy Climate dataset consitent with ENTSO-E TYNDP2020 studies (CSV & NetCDF)
Laurens P. Stoop (author)
2022-12-02
Research Data
Electronic Resource
English
DDC:
690
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