Published March 6, 2025 | Version 1.0
Dataset Open

Raw Data and Generated Synthetic Weather Year Datasets

  • 1. ROR icon Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
  • 2. ROR icon Karlsruhe Institute of Technology

Description

This dataset contains both the raw data and the generated synthetic weather years used in the paper submitted to Progress in Energy. The data covers 11 regions analyzed in this study: Austria (AT), Belgium (BE), Denmark (DK), the Czech Republic (CZ), France (FR), Germany (DE), Italy (IT), Luxembourg (LU), the Netherlands (NL), Poland (PL), and Switzerland (CH).

  • demand_generation_all.csv: This file includes the raw data, adjusted data, and residual load used in the study. The adjusted demand and renewable generation time series have been specifically designed to align with our system setup. These adjustments are based on renewable capacity values and demand values derived from the FlexMex scenario 2D. A detailed description of FlexMex is available at https://zenodo.org/records/5802178. The dataset includes the following columns: 
    • Timestamps: Defined by the columns 'year', 'month', 'day', and 'hour'.
    • Raw demand time series: 'country code+ _demand'
    • Raw renewable generation time series:
      • Solar PV:  'country code + _solar'.
      • Wind onshore:  'country code + _wind_onshore'.
      • Wind offshore:  'country code + _wind_offshore'.
    • Adjusted demand time series: 'country code + _demand_aj'
    • Adjusted renewable generation time series:
      • Solar PV:  'country code + _solar_aj'.
      • Wind onshore:  'country code + _wind_onshore_aj'.
      • Wind offshore:  'country code + _wind_offshore_aj'.
    • Residual Load time series: 'country code + _r_load_aj'.
  • 'TMY.csv': Time series of the typical meteorological year.
  • 'ELY.csv': Time series of the extreme low residual load year.
  • 'EHY.csv': Time series of the extreme high residual load year.
  • 'TMY_1D.csv': Time series of the typical meteorological year with a one-day extreme event.
  • 'TMY_1W.csv': Time series of the typical meteorological year with a one-week extreme event.
  • 'TMY_2W.csv': Time series of the typical meteorological year wth a two-week extreme event.
  • 'EHY_1D.csv': Time series of the extreme high residual load year with a one-day extreme event.
  • 'EHY_2W.csv': Time series of the extreme high residual load year with a two-week extreme event..

Files

demand_generation_all.csv

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Additional details

Dates

Created
2025-03-06