Data bundle for powerd-data: A transparent and reproducible data processing pipeline for energy system modeling based on egon-data

powerd-data provides a transparent and reproducible open data based data processing pipeline for generating data models suitable for energy system modeling. Is is a fork from the open-source tool egon-data. powerd-data and egon-data retrieve and process data from several different external input sources. As not all data dependencies can be downloaded automatically from external sources, we provide a data bundle to be downloaded by egon-data. The following data sets are part of the available data bundle: district_heating_shares: Assumed district heating share for all European countries in 2050 Source: Own representation License: Attribution 4.0 International (CC BY 4.0) egon_demandregio_cts_ind: Industrial and CTS demands per branch and NUTS3 region in Germany for the year 2050 Source: egon-data, based on data from DemandRegio disaggregator tool License: Data license Germany – © FfE 2019, © Statistisches Bundesamt (Destatis), 2008-2017 – version 2.0 industrial_gas_demand: This folder contains 5 files. The files CH4_for_industry_eGon100RE.json, CH4_for_industry_eGon2035.json, H2_for_industry_eGon100RE.json and H2_for_industry_eGon2035.json contain the industrial hourly demands for hydrogen and methane in NUTS3 resolution for the scenarios eGon100RE and eGon2035. The file region_corr.json provides information that make it possible to correlate each load to a geographical position. License: Attribution 4.0 International (CC BY 4.0) © FfE, eXtremOS Project